Automation Software Quotes

If it hurts, do it more frequently, and bring the pain forward.

The earlier you catch defects, the cheaper they are to fix.

Developers should be able to run all automated tests on their workstations in order to triage and fix defects.

Indeed, there is a school of thought that any work on a branch is, in the lean sense, waste—inventory that is not being pulled into the finished product.

In software, when something is painful, the way to reduce the pain is to do it more frequently, not less.

Automated testing is a safety net that protects the program from its programmers

Asking experts to do boring and repetitive, and yet technically demanding tasks is the most certain way of ensuring human error that we can think of, short of sleep deprivation, or inebriation.

There should be two tasks for a human being to perform to deploy software into a development, test, or production environment: to pick the version and environment and to press the “deploy” button.

a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

Where workers do lose their jobs due to automation, it’s not because they themselves are replaced by some piece of software. It’s often because the firms they work for fail. And the firms they work for fail because their management or shareholders are unwilling or unable to keep up with the new possibilities of technology. That failure often extends to failing to invest in the training that their employees need to implement the latest technologies.

Releasing software is too often an art; it should be an engineering discipline.

If you have bad tests, automation can help you do bad testing faster.

While lower-skill occupations will no doubt continue to be affected, a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

Robotics, however, is much more difficult. It requires a delicate interplay of mechanical engineering, perception AI, and fine-motor manipulation. These are all solvable problems, but not at nearly the speed at which pure software is being built to handle white-collar cognitive tasks. Once that robot is built, it must also be tested, sold, shipped, installed, and maintained on-site. Adjustments to the robot’s underlying algorithms can sometimes be made remotely, but any mechanical hiccups require hands-on work with the machine. All these frictions will slow down the pace of robotic automation.

In Webvan’s case premature scaling was an integral part of the company culture and the prevailing venture capital “get big fast” mantra. Webvan spent $18 million to develop proprietary software and $40 million to set up its first automated warehouse before it had shipped a single item. Premature scaling had dire consequences since Webvan’s spending was on a scale that ensures it will be taught in business school case studies for years to come. As customer behavior continued to differ from the predictions in Webvan’s business plan, the company slowly realized it had overbuilt and over-designed. The business model made sense only at the high volumes predicted on the spreadsheet.

Pham Nuwen spent years learning to program/explore. Programming went back to the beginning of time. It was a little like the midden out back of his father’s castle. Where the creek had worn that away, ten meters down, there were the crumpled hulks of machines—flying machines, the peasants said—from the great days of Canberra’s original colonial era. But the castle midden was clean and fresh compared to what lay within the Reprise’s local net. There were programs here that had been written five thousand years ago, before Humankind ever left Earth. The wonder of it—the horror of it, Sura said—was that unlike the useless wrecks of Canberra’s past, these programs still worked! And via a million million circuitous threads of inheritance, many of the oldest programs still ran in the bowels of the Qeng Ho system. Take the Traders’ method of timekeeping. The frame corrections were incredibly complex—and down at the very bottom of it was a little program that ran a counter. Second by second, the Qeng Ho counted from the instant that a human had first set foot on Old Earth’s moon. But if you looked at it still more closely. . .the starting instant was actually some hundred million seconds later, the 0-second of one of Humankind’s first computer operating systems. So behind all the top-level interfaces was layer under layer of support. Some of that software had been designed for wildly different situations. Every so often, the inconsistencies caused fatal accidents. Despite the romance of spaceflight, the most common accidents were simply caused by ancient, misused programs finally getting their revenge. “We should rewrite it all,” said Pham. “It’s been done,” said Sura, not looking up. She was preparing to go off-Watch, and had spent the last four days trying to root a problem out of the coldsleep automation. “It’s been tried,” corrected Bret, just back from the freezers. “But even the top levels of fleet system code are enormous. You and a thousand of your friends would have to work for a century or so to reproduce it.” Trinli grinned evilly. “And guess what—even if you did, by the time you finished, you’d have your own set of inconsistencies. And you still wouldn’t be consistent with all the applications that might be needed now and then.” Sura gave up on her debugging for the moment. “The word for all this is ‘mature programming environment.’ Basically, when hardware performance has been pushed to its final limit, and programmers have had several centuries to code, you reach a point where there is far more signicant code than can be rationalized. The best you can do is understand the overall layering, and know how to search for the oddball tool that may come in handy—take the situation I have here.” She waved at the dependency chart she had been working on. “We are low on working fluid for the coffins. Like a million other things, there was none for sale on dear old Canberra. Well, the obvious thing is to move the coffins near the aft hull, and cool by direct radiation. We don’t have the proper equipment to support this—so lately, I’ve been doing my share of archeology. It seems that five hundred years ago, a similar thing happened after an in-system war at Torma. They hacked together a temperature maintenance package that is precisely what we need.” “Almost precisely.

Just as the invention of new forms of industrial automation in the eighteenth and nineteenth centuries had the paradoxical effect of turning more and more of the world’s population into full-time industrial workers, so has all the software designed to save us from administrative responsibilities in recent decades ultimately turned us all into part or full-time administrators.

THE RIVE BROTHERS used to be like a technology gang. In the late 1990s, they would jump on skateboards and zip around the streets of Santa Cruz, knocking on the doors of businesses and asking if they needed any help managing their computing systems. The young men, who had all grown up in South Africa with their cousin Elon Musk, soon decided there must be an easier way to hawk their technology smarts than going door-to-door. They wrote some software that allowed them to take control of their clients’ systems from afar and to automate many of the standard tasks that companies required, such as installing updates for applications. The software became the basis of a new company called Everdream, and the brothers promoted their technology in some compelling ways.

Every change that is made to an application’s configuration, source code, environment, or data, triggers the creation of a new instance of the pipeline. One of the first steps in the pipeline is to create binaries and installers. The rest of the pipeline runs a series of tests on the binaries to prove that they can be released. Each test that the release candidate passes gives us more confidence that this particular combination of binary code, configuration information, environment, and data will work. If the release candidate passes all the tests, it can be released. The deployment pipeline has its foundations in the process of continuous integration and is in essence the principle of continuous integration taken to its logical conclusion. The aim of the deployment pipeline is threefold. First, it makes every part of the process of building, deploying, testing, and releasing software visible to everybody involved, aiding collaboration. Second, it improves feedback so that problems are identified, and so resolved, as early in the process as possible. Finally, it enables teams to deploy and release any version of their software to any environment at will through a fully automated process.

1. Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation

Bitcoin can be best understood as distributed software that allows for transfer of value using a currency protected from unexpected inflation without relying on trusted third parties. In other words, Bitcoin automates the functions of a modern central bank and makes them predictable and virtually immutable by programming them into code decentralized among thousands of network members, none of whom can alter the code without the consent of the rest.

In practice, the line between automatic, automated, and autonomous systems is still blurry. Often, the term “autonomous” is used to refer to future systems that have not yet been built, but once they do exist, people describe those same systems as “automated.” This is similar to a trend in artificial intelligence where AI is often perceived to encompass only tasks that machines cannot yet do. Once a machine conquers a task, then it is merely “software.

advances in AI are poised to drive dramatic productivity increases and perhaps eventually full automation. Radiologists, for example, are trained to interpret the images that result from various medical scans. Image processing and recognition technology is advancing rapidly and may soon be able to usurp the radiologist’s traditional role. Software can already recognize people in photos posted on Facebook and even help identify potential terrorists in airports.

Cope’s bot can string together notes that weave in and out with the power of Beethoven or the finesse of Mozart. That a machine can produce things of such beauty is threatening to many in the music community. “If you’ve spent a good portion of your life being in love with these dead composers and along comes some twerp who claims to have this piece of software that can move you in the same way, suddenly you’re asking yourself, ‘What’s happened here?’” Cope says. “I’m messing with some very powerful relationships.

Bitcoin can be best understood as distributed software that allows for transfer of value using a currency protected from unexpected inflation without relying on trusted third parties. In other words, Bitcoin automates the functions of a modern central bank and makes them predictable and virtually immutable by programming them into code decentralized among thousands of network members, none of whom can alter the code without the consent of the rest. This makes Bitcoin the first demonstrably reliable operational example of digital cash and digital hard money.

As black-box technologies become more widespread, there have been no shortage of demands for increased transparency. In 2016 the European Union's General Data Protection Regulation included in its stipulations the "right to an explanation," declaring that citizens have a right to know the reason behind the automated decisions that involve them. While no similar measure exists in the United States, the tech industry has become more amenable to paying lip service to "transparency" and "explainability," if only to build consumer trust. Some companies claim they have developed methods that work in reverse to suss out data points that may have triggered the machine's decisions—though these explanations are at best intelligent guesses. (Sam Ritchie, a former software engineer at Stripe, prefers the term "narratives," since the explanations are not a step-by-step breakdown of the algorithm's decision-making process but a hypothesis about reasoning tactics it may have used.) In some cases the explanations come from an entirely different system trained to generate responses that are meant to account convincingly, in semantic terms, for decisions the original machine made, when in truth the two systems are entirely autonomous and unrelated. These misleading explanations end up merely contributing another layer of opacity. "The problem is now exacerbated," writes the critic Kathrin Passig, "because even the existence of a lack of explanation is concealed.

Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics.

One of those was Gary Bradski, an expert in machine vision at Intel Labs in Santa Clara. The company was the world’s largest chipmaker and had developed a manufacturing strategy called “copy exact,” a way of developing next-generation manufacturing techniques to make ever-smaller chips. Intel would develop a new technology at a prototype facility and then export that process to wherever it planned to produce the denser chips in volume. It was a system that required discipline, and Bradski was a bit of a “Wild Duck”—a term that IBM originally used to describe employees who refused to fly in formation—compared to typical engineers in Intel’s regimented semiconductor manufacturing culture. A refugee from the high-flying finance world of “quants” on the East Coast, Bradski arrived at Intel in 1996 and was forced to spend a year doing boring grunt work, like developing an image-processing software library for factory automation applications. After paying his dues, he was moved to the chipmaker’s research laboratory and started researching interesting projects. Bradski had grown up in Palo Alto before leaving to study physics and artificial intelligence at Berkeley and Boston University. He returned because he had been bitten by the Silicon Valley entrepreneurial bug.

five commandments: 1. Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle.

Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation.

I became a broken record on the algorithm,” Musk says. “But I think it’s helpful to say it to an annoying degree.” It had five commandments: 1. Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation.

Software testing is not only ensuring absence of bugs but also ensuring presence of value.

Even if the total number of jobs does not fall, the current wave of automation tends to displace jobs that require some skills (bookkeepers and accountants) and increase the demand, either for very skilled workers (software programmers for the machines) or for totally unskilled workers (dog walkers, for example), which are both much more difficult to replace with a machine. As software engineers become richer, they have more money to hire dog walkers, who have become relatively cheaper over time, since there is little alternative employment for those with no college education. Even if people remain employed, this leads to an increase in inequality, with higher wages at the top and everyone else pushed to jobs requiring no specific skills; jobs where wages and working conditions can be really bad. This accentuates a trend that has taken place since the 1980s. Workers without a college education have increasingly been pushed out of mid-skill jobs, such as clerical and administrative roles, into low-skill tasks, such as cleaning and security.

4. The potential levers to improve employees’ experience We have identified three levers to enable the transition from the current breakdown of employee activities to the ideal division of activities. They are: Automate: companies should identify and automate routine activities, such as generating a PowerPoint presentation for a weekly meeting or recording invoices in accounting software. Augment: organizations should seize the opportunity to increase the value of work activities delivered by employees. IA is used as a crucial component here, with, for example, the generation of insights through advanced analytics to help decision making. Abandon: some work activities do not fit with leading practices for efficient work, and represent an obstacle to the employee’s experience. These activities should be reduced or eliminated. For example, restricting the volume of meetings and email traffic is essential. We call these levers the “Triple-A artifact”. It has proven to be a handy framework to help organizations build their action plans to boost their employee experience.

Step by Step… Can you write out your ideal business step by step Here is a business I am setting up for a client. She wants to shipping start her own shipping company… One she will need a US partner to collect and transfer packages to her in Jamaica. She will also need one in China. I have two contacts. One has a warehouse in Florida The other has two in China. Chinese connect makes goods available within 3 weeks, she has to tell her customers four. The US connect makes it within 3-5 days. She has to tell them within a week… Next she will need a website where her customers can login and track their packages. This will come with individual dashboards. She will need an interface and warehouse management software and logistics APIs. She will also need an automated email set up (journey) to send emails to her customers without her or her agents needing to do that. Without this Saas she would have to hire someone to reply to messages and emails about , someone to call and track, use usps and FedEx tracking numbers to track and reply back to customers. She also needs a beta ApI to allow her warehouse guy to update the CRM with information about her customers packages… Key nodes such as - Intransit to destinations Held at customs Clearance In transit to store Pick up available etc… These will come in as email notifications Fully automated. Everything will be connected using Webhooks… entire system. Saas she might need to use a combination of GOhighlevel, Workiz and To run this as a System as as Service. Each platform can work together using webhooks. Gohighlevel as a Saas is $500 a month Workiz is $200 dollars She can use Odoo which is open source alternative as a CRM And Clickup as Management. This is how a conversational business plan looks. You can see it. You can research it. You can confirm that it’s plausible. It doesn’t sound like pipedreams. It sounds workable to credit companies /banks and investors. It sounds doable to a BDO Client. I also sound as if I know what I am doing. Not a lot of technical language. A confused prospective business investor or banker don’t want to use a dictionary to figure out everything… They want to see the vision as clear as day. You basically need to do to them what I did to you when you joined my programme. It must sound plausible. All businesses is a game of wit. Every deal that is signed benefits both party. Whether initially or in the long term. Those are the sub-tenets of business. Every board meeting or meeting with regulatory boards, banks, credit facilities, municipalities is a game of convincing people to see your thing through… Everyone does Algorithm is simple. People want you to solve their problems with speed and efficiency. Speed is very important and automation. Progress, business and production are tied to ego… that’s why people love seh oh dem start a business or dem have dem online business and nah sell one rass thing. Cause a lot of people think being successful and looking successful are one and the same thing until they meet someone like me or people who done the work… Don’t rush it… you are young and you have time. There are infact certain little nuances Weh yuh only ago learn through experience. Experience and reflection. One of the drawbacks of wanting to run your business by yourself with you and your family members is that you guys will have to be reliant on yourself for feedback which is not alw

Spending some additional money to get high-quality products will give more profit. But anyway, it is not true that expensive products are high-quality products. Even an inexpensive or cheap product can be high-quality if it meets the Customer’s needs/expectations.

Event Rental Systems provides software for party rental and bounce house companies. ERS offers web-based software packages that allow bounce house rental businesses to run on near auto-pilot. The goal of the software is to boost sales while automating and digitizing all tasks related to a party rental business.

Any change to environments or the software that runs on them should be applied using an automated process from version control

Revalgo leads the way in transforming sales dynamics for distributors and manufacturers. Their cutting-edge AI-driven automation platform offers an array of solutions, spanning from sales automation software to supply chain optimization. By simplifying intricate sales procedures and automating order processing, Revalgo liberates sales teams from tedious manual tasks. Experience the future of business resilience with Revalgo's transformative solution today!

As a first step in test automation, it is important to learn how to build an automation framework

When the automation test pack is being designed, the most important decision is to plan the Test Scheduling of those Automated Test Scripts. The objective of test automation is to reduce the amount of time spent in Regression Testing

The best representation of automation test execution scheduling is possible through Bar Charts when multiple Automation Testers are involved in the test project.

The more you produce, the more you have to read. Automated code generation only makes matters worse. As Martin Fowler writes about low code quality: “Even small changes require programmers to understand large areas of code, code that’s difficult to understand.” [32] Code that’s difficult to understand slows you down. On the other hand, every minute you invest in making the code easier to understand pays itself back tenfold.

Miguel Antunes, R&D Principle Software Engineer at OutSystems, a low-code platform vendor, relayed an example of this very challenge. Their Engineering Productivity team at OutSystems was five years old. The team’s mission was to help product teams run their builds efficiently, maintain infrastructure, and improve test execution. The team kept growing and took on extra responsibilities around continuous integration (CI), continuous delivery (CD), and infrastructure automation.

In the fast-paced, technology-driven world of today, businesses and organizations face the constant challenge of adapting to ever-evolving technological landscapes. SAP, which stands for Systems, Applications, and Products, has risen to the forefront as a leader in enterprise software solutions. SAP offers a diverse range of tools and applications that help businesses streamline their processes, make informed decisions, and manage their resources efficiently. As the demand for SAP expertise grows, SAP training programs have become pivotal for individuals and organizations alike. In a world where data is the new currency, organizations are increasingly turning to SAP to digitize their operations. Whether it's finance, human resources, supply chain management, or customer relationship management, SAP provides comprehensive solutions that allow organizations to integrate and automate their processes.

Orchestration coordinates people, software, and data in end‐to‐end processes to get jobs done. With orchestration, people—customers, employees, or partners—are still key components of the process where their strengths are needed most.

MKT SOFTWARE,.JSC is a leading developer of automated multi-channel marketing software solutions that enable businesses of all kinds to succeed in the rapidly changing era of Technology 4.0. Our full array of software products provides unrivaled convenience, professionalism, and an unwavering commitment to EFFICIENCY - SPEED - EASY TO USE.

Instead of having a lengthy integration and qualification cycle, an agile process makes it part of the ongoing development process. This shift is accomplished through approaches like continuous integration/delivery, sprints with complete requirements, test-driven design, and automated testing. All this is put in place so that when customers think they have enough of the capabilities ready, the code is close to being ready to deploy.

The goal of Continuous Delivery is to create a constant flow of changes to production: an automated software production line. The core concept that makes this happen is the Continuous Delivery pipeline. The pipeline breaks the software delivery process down into a number of stages. Each stage is aimed at verifying quality of new features from a different angle in order to prevent errors from affecting your users.

The delivery pipeline is the key concept that enables a continuous flow of changes to production in a Continuous Delivery environment. Key points of the pipeline are: Functionality is only added when the quality is right. All changes to the source code immediately result in a new version of the application. Each new version is automatically tested against all available tests. New versions are automatically deployed to production. All installation and configuration of machines and environments is fully automated.

s s i o n o f R a t i o n a l S o f t w a r e C o r p o r a t i o n i s t o e n s u r e t h e s u c c e s s o f c u s t o m e r s c o n s t r u c t i n g t h e s o f t w a r e s y s t e m s t h a t t h e y d e p e n d o n . We enable our customers to achieve their business objectives by turning software into a source of competitive advantage, speeding time-to-market, reducing the risk of failure, and improving software quality. We fulfill our mission with the Rational ApproachTM, a comprehensive softwareengineering solution consisting of three elements: • A configurable set of processes and techniques for the development of software, based on iterative development, object modeling, and an architectural approach to software reuse. • An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle. • Technical consulting services delivered by our worldwide field organization of software engineers and technical sales professionals. Our customers include businesses in the Asia/Pacific region, Europe, and North America that are leaders in leveraging semiconductor, communications, and software technologies to achieve their business objectives. We serve customers in a diverse range of industries, such as telecommunications

o n o f R a t i o n a l S o f t w a r e C o r p o r a t i o n i s t o e n s u r e t h e s u c c e s s o f c u s t o m e r s c o n s t r u c t i n g t h e s o f t w a r e s y s t e m s t h a t t h e y d e p e n d o n . We enable our customers to achieve their business objectives by turning software into a source of competitive advantage, speeding time-to-market, reducing the risk of failure, and improving software quality. We fulfill our mission with the Rational ApproachTM, a comprehensive softwareengineering solution consisting of three elements: • A configurable set of processes and techniques for the development of software, based on iterative development, object modeling, and an architectural approach to software reuse. • An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle. • Technical consulting services delivered by our worldwide field organization of software engineers and technical sales professionals. Our customers include businesses in the Asia/Pacific region, Europe, and North America that are leaders in leveraging semiconductor, communications, and software technologies to achieve their business objectives. We serve customers in a diverse range of industries, such as telecommunications, banking and financial services, manufacturing, transportation, aerospace, and defense.They construct software applications for a wide range of platforms, from microprocessors embedded in telephone switching systems to enterprisewide information systems running on company-specific intranets. Rational Software Corporation is traded on the NASDAQ system under the symbol RATL.1

aim is to make the delivery of software from the hands of developers into production a reliable, predictable, visible, and largely automated process with well-understood, quantifiable risks. Using the approach that we describe in this book, it is possible to go from having an idea to delivering working code that implements it into production in a matter of minutes or hours, while at the same time improving the quality of the software thus delivered. The vast majority of the cost associated with delivering successful software is incurred after the first release. This is the cost of support, maintenance, adding new features, and fixing defects. This is especially true of software delivered via iterative processes, where the first release contains the minimum amount of functionality providing value to the customer. Hence the title of this book, Continuous Delivery, which is taken from the first principle of the Agile Manifesto: “Our highest priority is to satisfy the customer through early and continuous delivery of valuable software

At an abstract level, a deployment pipeline is an automated manifestation of your process for getting software from version control into the hands of your users.

Developer: “Oh, we changed the way deployment works. You need to copy this new set of files over and set permission x.” Or worse, “That’s strange, let me take a look... ” followed by hours of working out what has changed and how to get it deployed. Automation

PayVida's innovative technology is designed with flexibility in mind and allows users to turn their computers into payment processing terminals with its web-based payment processing software and simple invoicing system that automates payment collection and processing.

The bank knew exactly what it was looking for and how to go about it. There was consensus on two critical aspects: the system had to be centralized and had to be based on UNIX, even if that meant spending tonnes of money. MicroBanker, a fully integrated online banking automation system, developed by Citicorp Information Technology Industries Ltd (Citil), a Citibank subsidiary, fit the bill, but Citil was not willing to deal with HDFC Bank. A small outfit, Citil thought, would not be able to afford the system. Citil was expanding operations in Africa and Europe and was not too keen to sell the software to a start-up Indian bank. While Citil reluctantly made a presentation on the system, Citibank intervened before a deal could be signed, saying that selling MicroBanker to HDFC Bank could give the Indian bank more muscle as a competitor. Aditya had to call Rajesh Hukku, Citil head, to play ball and he relented. Citil later became i-Flex Solutions Ltd (now Oracle Financial Services Software Ltd).

Any change to environments or the software that runs on them should be applied using an automated process from version control.

Having automated tests that are reliable: when the automated tests pass, teams are confident that their software is releasable.

In the current business scenario, it is imperative for all the business persons to take efficient Backup Thunderbird Mac so that they don’t have to lose their precious data permanently due to various security hazards. So, if you are also looking for an alternative for doing so, then Inventpure’s Mail Backup X is the best solution for you. This tool has an incremental backup system which means that it is smart enough to skip those files whose backup has been taken in the previous mail backup proceedings. Moreover, there will be no repetition of the data and users can locate them with complete ease. Also, the tool works independently as it is based on high-level automation which can accomplish the entire task automatically by itself. Users don’t have to participate in the software while backup proceedings are going on. Some Advanced Features Of Mail Backup X Are As Listed Below: • The Users Do Not Know How To Backup Thunderbird Email Can Also Use Mail Backup X, Effectively: This tool is designed for everybody to use it. In simple words, users having basic knowledge of computers can also Backup Thunderbird Mac without any hassles. The system generates on-screen wizards at every step to assist the users. Such instructions are written in a simplified and lucid form so that professionals, as well as the novice users, can understand them with ease. • Download The Free Demo Of Mail Backup X Take Unlimited Thunderbird Backup Without Paying Any Cost: The company has launched the 15 days free demo trial for those users who have doubts relating to its performance. The company has not locked any of its features so that users can have a bright idea about its performance. During the free trial period, Users can export up to 10 files in one process. Limited exportation of files is the only constraint of free demo version; if you want to break this restriction, you should buy its paid license package for a lifetime. • Mail Backup X Can Also Play The Role Of Email Conversion Tool With Great Perfection: This email backup software has advanced data conversion engine that is mostly used by professional conversion tools. Through this, users can convert any mail to any file format that is supported by almost all the major email clients. It will come up with complete, appropriate and 100% accurate results with zero file damages. Thus, users do not need to purchase additional data converter; Mail Backup X can flawlessly restore their email archives in the format of their choice without any compatibility issues. • Mail Backup X Come Up With Advanced Emailing Services Which Makes Your Thunderbird Email Backup Process A Piece Of Cake: Inventpure’s Mail Backup X not only takes mail backups from all the major email clients like Outlook, Thunderbird, Apple Mail, etc. but also supports IMAP and POP services by directly operating on your Mac system. More than that, it can save your emails in PDF format for quick conversion from soft copies into hard copies.

We will actively manage this technical debt by ensuring that we invest at least 20% of all Development and Operations cycles on refactoring, investing in automation work and architecture and non-functional requirements (NFRs, sometimes referred to as the “ilities”), such as maintainability, manageability, scalability, reliability, testability, deployability, and security. Figure 11: Invest 20% of cycles on those that create positive, user-invisible value (Source: “Machine Learning and Technical Debt with D. Sculley,” Software Engineering Daily podcast, November 17, 2015,

Concurrent with the decline of manufacturing, the latter half of the twentieth century oversaw another shift. While earlier office technologies had supplemented workers and increased demand for them, the development of the microprocessor and computing technologies began to replace semiskilled service workers in many areas – for example, telephone operators and secretaries.20 The roboticisation of services is now gathering steam, with over 150,000 professional service robots sold in the past fifteen years.21 Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

Among other techniques, they simulated consumer demand on eBay by creating a bot (an automated software tool) that bought goods on the site and then insisted on paying for these transactions using PayPal. Noting this apparent growth in demand, many eBay sellers signed up for the PayPal service—which in turn made PayPal even more visible and attractive to consumers.

RPA is software that emulates human execution of repetitive work. It's built on technologies designed to orchestrate, execute and enhance business workflows. Cognitive RPA adds intelligence the ability to perform human like decision making to RPA. CRPA can do things like read documents to identify specific information to pass to RPA to update another system. dayhuffgroup.com

To date, there is no strong empirical support for claims that automating medical record keeping will lead to major reductions in health-care costs or significant improvements in the well-being of patients. But if doctors and patients have seen few benefits from the scramble to automate record keeping, the companies that supply the systems have profited. Cerner Corporation, a medical software outfit, saw its revenues triple, from $1 billion to $3 billion, between 2005 and 2013. Cerner, as it happens, was one of five corporations that provided RAND with funding for the original 2005 study. The other sponsors, which included General Electric and Hewlett Packard, also have substantial business interests in health-care automation. As today’s flawed systems are replaced or upgraded in the future, to fix their interoperability problems and other shortcomings, information technology companies will reap further windfalls.

For example, there’s an uncharacteristic explosion of creativity among accountants. Yes, accountants: Groups like the Thriveal C.P.A. Network and the VeraSage Institute are leading that profession from its roots in near-total risk aversion to something approaching the opposite. Computing may have commoditized much of the industry’s everyday work, but some enterprising accountants are learning how to use some of their biggest assets — the trust of their clients and access to financial data — to provide deep insights into a company’s business. They’re identifying which activities are most profitable, which ones are wasteful and when the former become the latter. Accounting once was entirely backward-looking and, because no one would pay for an audit for fun, dependent on government regulation. It was a cost. Now real-time networked software can make it forward-looking and a source of profit. It’s worth remembering, though, that this process never ends: As soon as accountants discover a new sort of service to provide their customers, some software innovator will be seeking ways to automate it, which means those accountants will work to constantly come up with even newer ideas. The failure loop will

fulfill our mission with the Rational ApproachTM, a comprehensive softwareengineering solution consisting of three elements: • A configurable set of processes and techniques for the development of software, based on iterative development, object modeling, and an architectural approach to software reuse. • An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle. • Technical consulting services delivered by our worldwide field organization of software engineers and technical sales professionals. Our customers include businesses in the Asia/Pacific region, Europe, and North America that are leaders in leveraging semiconductor, communications, and software technologies to achieve their business objectives. We serve customers in a diverse range of industries, such as telecommunications, banking and financial services, manufacturing, transportation, aerospace, and defense.They construct software applications for a wide range of platforms, from microprocessors embedded in telephone switching systems to enterprisewide information systems running on company-specific intranets. Rational Software Corporation is traded on the NASDAQ system under the symbol RATL.1

An integrated family of application construction tools that automate the Rational Approach throughout the software lifecycle

If your main interest is in the business uses of machine learning, this book can help you in at least six ways: to become a savvier consumer of analytics; to make the most of your data scientists; to avoid the pitfalls that kill so many data-mining projects; to discover what you can automate without the expense of hand-coded software; to reduce the rigidity of your information systems; and to anticipate some of the new technology that’s coming your way. I’ve seen too much time and money wasted trying to solve a problem with the wrong learning algorithm, or misinterpreting what the algorithm said. It doesn’t take much to avoid these fiascoes. In fact, all it takes is to read this book.

• Automate your tests, ensuring that they do the following: – Unambiguously pass or fail – Are self-contained – Can be executed with a single click – Provide comprehensive coverage • Use branches in source control sparingly. • Automate your build process: – Build and test the software every time it changes. – Integrate static analysis into every build.

Blockchain verifies the information using the following steps: Consensus - it requires the majority of the block builders to agree that the occurrence actually happened. Consistency - requires that the new information fits with the previous block. Transaction - it requires that the transaction occurred by looking at the previous block, ensuring that two people did not record conflicting accounts of the information. Automated Conflict Identifiers - the software itself trolls for conflicts within the blocks and the structure. There is no centralized location, or big computer in the sky, where the information can be altered or stolen.

The most important practice for continuous integration to work properly is frequent check-ins to trunk or mainline. You should be checking in your code at least a couple of times a day.

It is essential for the smooth running of the delivery process to fly people back and forth periodically, so that each local group has personal contact with members from other groups.

There are various incremental improvements to the way software is delivered which will yield immediate benefits, such as teaching developers to write production-ready software, running CI on production-like systems, and instituting cross-functional teams.

It is worth emphasizing that branching by feature is really the antithesis of continuous integration, and all of our advice on how to make it work is only about ensuring that the pain isn’t too horrible come merge time.

Social networks like Facebook seem impelled by a similar aspiration. Through the statistical "discovery" of potential friends, the provision of "Like" buttons and other clickable tokens of affection, and the automated management of many of the time-consuming aspects of personal relations, they seek to streamline the messy process of affiliation. Facebook's founder, Mark Zuckerberg, celebrates all of this as "frictionless sharing"--the removal of conscious effort from socializing. But there's something repugnant about applying the bureaucratic ideals of speed, productivity, and standardization to our relations with others. The most meaningful bonds aren't forged through transactions in a marketplace or other routinized exchanges of data. People aren't notes on a network grid. The bonds require trust and courtesy and sacrifice, all of which, at least to a technocrat's mind, are sources of inefficiency and inconvenience. Removing the friction from social attachments doesn't strengthen them; it weakens them. It makes them more like the attachments between consumers and products--easily formed and just as easily broken. Like meddlesome parents who never let their kids do anything on their own, Google, Facebook, and other makers of personal software end up demeaning and diminishing qualities of character that, at least in the past, have been seen as essential to a full and vigorous life: ingenuity, curiosity, independence, perseverance, daring. It may be that in the future we'll only experience such virtues vicariously, though the exploits of action figures like John Marston in the fantasy worlds we enter through screens.

integrating infrequently, which only makes it worse. In software, when something is painful, the way to reduce the pain is to do it more frequently, not less.

If It Hurts, Do It More Frequently, and Bring the Pain Forward

Throughput is the number of transactions a system can process in a given timespan. It

Implementing functional test automation will get the team to work closer and prepare the system for the use of executable specifications later.

Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

History is the collective consciousness of the then intellectuals and not just some numbers, time and events.

Modernization in technology is not attained by sudden flight, but through collaborations of art, literature and philosophy that functions together in communion, because we are all human beings.

If you are going to use automated testing and Continuous Integration (CI) to dramatically improve your productivity, you need to treat your testing investments as being at least as important, or even more important, than your development investments, which is a big cultural change for most organizations. In

Algiz Technology provide enterprise it teams best MSI Packaging, Application Virtualization tools including the MSI packager, with the most advanced software packaging tools for deployment with a complete suite of automated customization, testing, MSI packaging and management reporting capabilities.

Why people churn Most churn occurs at the time of the sale. In 2017, my churn was over 60%. I signed up customers who were a poor fit for my solution. Many customers thought Connex was an inventory management tool and others thought we built custom software. We had no onboarding process and we expected users to figure out Connex on their own. Many users failed to choose the right settings, since they are small business owners and not accountants. Since the software failed to work as expected, they quickly cancelled. From experience, most users churn in the first 30 days. It is critical that you reach out to them and ensure the software works correctly. My staff performs an onboarding and ensures Connex works to the customer’s satisfaction. Users churned because my software lacked features that it has today. We noticed a dramatic shift in churn, after implementing a sales and marketing process. In the first quarter of 2021, we had only a handful of refunds out of 100 purchases. People churn because they fail to achieve their desired result or experience. People buy Connex because they want accurate financial information, better order fulfillment, or protection from overselling. If the sync were inaccurate and unreliable then we would lose customers. In other cases, your software may become superfluous. For example, I used the excellent meeting automation tool Calendly. When I migrated to HubSpot, however, I no longer needed Calendly because HubSpot offered meeting automation as part of its suite of offerings. Even if your tool works, your customer’s desired situation or desired outcomes may change. I churned from my ticketing system because I was unhappy with the customer service and experienced technical issues with their chat and phone system. Companies often tack on features that are nowhere near as usable as their core offering.

Why I was successful In 2014, I was 29 years old. I was selling against companies that had been in the QuickBooks integration business for five years or more. Some competitors had millions of dollars in venture capital. Their websites were the equivalent of a five-star hotel. These competitors had large sales and marketing teams that could easily show the value of their solution. The companies had a team of programmers. I had my pajamas, a corded phone, a cookie-cutter website, and a laptop computer. I signed up about three hundred new accounts because I was the first person to pick up the phone and I spoke English. I could answer questions on what my software can automate. If there was a problem, I called the customer and we did a screenshare. You need to talk to customers on the phone and you cannot email customers to death. Many customers later told me they reached out to competitors and received no response to sales or support inquiries. These customers said they chose my company because I was responsive. Potential customers want to speak to someone in their area who understands their language. You need to connect with them. Many people signed up for Connex because they liked me over the phone. We attract many small business owners. I had similar interests and I owned a business, just like them.

Learn the power of “no” I was so busy working inside my company that I failed to work on it. I was answering support tickets, posting app store listings, making landing pages, writing low-level code, and doing other tasks that employees could’ve performed. If you can delegate work, do it. I should have said “no” to busywork and “yes” to growing my company. When I delegated work, I had time for professional development. Reading books on business and focusing on professional development were two reasons why my company grew into a mid-sized company. Too many founders focus on their day-to-day responsibilities. When I started, my issues were funding and product development. When my company became mid-sized, the issues centered around alignment, time-management, technical support, marketing, and automation. I learned how to set boundaries with customers and employees. Neglecting the power of “no” was why my company failed to reach the next level at certain stages. My boss at the software company was overwhelmed because he tried to perform the same work as his employees. He had hundreds of emails that remained unread. He once said he would wake up at 4am, but he still failed to complete all his tasks. Unlike him, I decided which problems were the most important to focus on. I transformed from a technician to an executive with a grand vision for the company.

A key characteristic of continuous delivery is that software is always releasable. It relies on a high level of automation, including automated testing. Continuous deployment takes continuous delivery one step further in the practice of automatically deploying releasable code into production

The casinos introduced technology to stop the counters. Cameras and observers followed the action through one-way mirrors above the tables. Currently, this is automated, incorporating face-recognition software. RFID chips keep track of a player’s bets, and machines can track the cards and check the play of the hands, searching for patterns characteristic of counters. Machines that continually reshuffle the cards proved to be a perfect defense without slowing the game down, but the casinos pay fees to the vendors of the machines. Meanwhile the card counters were developing more techniques for winning.

(1) do the work, (2) improve the work, and (3) develop the people. The third objective—develop the people—is especially important in a technology domain, where automation is disrupting many technology jobs.

Simple Fast Funnels VS Hubspot There are 2 primary factors to consider when exploring Simple Fast Funnels VS Hubspot… Available Features. Price. Hubspot is a powerful platform, there’s no denying that, but they lack a few features that Simple Fast Funnels offers: 2 way SMS so you can send one way messages to your clients OR interactive messages. You can automate answers or have your customers reach you or customer service directly. Unified messaging. Housing all messages for particular customers in one place lets you simplify customer service. They can text, email, schedule calls or FB message you and you’ll see it all in one location. Simple Fast Funnels customer service has 24/7 chat support and guides you through any hiccups you may experience as you build your funnel. Simplified funnel building. No tech knowledge required. The biggest factor comparing these two platforms however is price: Hubspot charges a small fortune for their good features. Their price is over 10X the cost of Simple Fast Funnels. Simple Fast Funnels saves you thousands, or even tens of thousands yearly and you don’t get less features, you get MORE… We believe you should be able to run your business without paying rates like these. Call us old fashioned if you like. For Hubspot’s premium service, you’ll pay $3,600/month. That’s a lot of revenue to come up with each month just to pay for your operating platform. For Simple Fast Funnel’s premium service, you’ll get the same features and more for $297/month. If you haven’t tried Simple Fast Funnels out yet, we offer a 14 day free trial, that’s how sure we are you’re going to love this service.

After you’ve optimized a task, the next step is to automate as much as possible. Use software or processes so you can get the task done without human involvement—just set it and forget it. Finally, for anything that’s left, outsource to a generalist or a specialist. It’s important to note that although outsourcing can do a lot for you, it comes after optimizing and automating.

When we develop predictive analytics systems, we are not merely automating a human’s decision by using software to specify the rules for when to say yes or no; we are even leaving the rules themselves to be inferred from data. However, the patterns learned by these systems are opaque: even if there is some correlation in the data, we may not know why. If there is a systematic bias in the input to an algorithm, the system will most likely learn and amplify that bias in its output

In 2018, Arowana is working with RPA (robotic process automation) specialists to introduce robotic process automation software and tools into our companies. RPA will help them process menial, repetitive tasks faster, with zero errors and at much lower costs. In one case, an accounts payable robot can process in 1 hour what a human being can process in 1 week.

Simple Fast Funnels may be the new kid on the block when it comes to a complete bumper to bumper CRM system, but it’s a force to be reckoned with! Business owners are switching over right and left and I’m going to outline 10 of the best features of Simple Fast Funnels so you can see what all the buzz is about! Funnel builder: Simple Fast Funnels has easy intuitive software so you can build your own landing pages, funnels, websites, sales pages etc. No developer needed, everything included and simple to use Email Software: Instead of paying hundreds or thousands per month to send emails, this software does it for you! You can have your entire email list automated or send emails on the fly, whatever fits the bill for you, they’ve got you covered and it’s so easy to track your email results so you can modify and make improvements as you go. Online Membership Area: Now, for no additional fees that lot’s of CRM software likes to charge, you can build glorious membership areas for your clients. You can control timing on video releases, give access for certain time periods upset packages… whatever your business looks like, if you can dream it, you can build it in the membership area. Survey and quiz generator: Ramp up your lead capture game to grow your customer list! One of the best ways to get leads is to get your customers talking about themselves. Not only do people love to take surveys and quizzes, but it can help you gather information about your clients to serve them better and grow your sales! SMS Marketing Software: If you’re not messaging your customers, you’re missing out, and if you are messaging your customers you’re probably over paying. Amazing automated intuitive SMS marketing can make your life much easier and allow you to reach your customers in more ways. Being where your customers are more present is always good for business. Simple Fast Funnels helps you get the cheapest SMS rates around and it automatically integrates into the system for your unified messages. Appointment booking: Another expensive thing you used to have to pay for and try to get to work properly with your website AND look decent is also built right in. Now, without leaving Simple Fast Funnels, you’re able to capture the lead, follow up with the lead all over the place, engage with them, build trust, book appointments, schedule calls and even send them automated text reminders. E com Purchases: Directly on your website, you’ll be able to take payments. No more invoices sent from other platforms, everything buttoned up nice and clean. Unified messaging: From now on, whether a client emails, texts, calls etc, it all shows up in one place at your end. This might not seem like a big deal, but it’s a HUGE pain to have to follow customers about and keep track of conversations. Now you see all your communication with customers in a neat little area. Blogs: Blogs these days can really help your marketing efforts across the board, and of course your blogs will be a perfect fit in your simple fast funnel account. Analytics: Data tracking when you’re dealing with features on various platforms is a nightmare. If you capture a lead on a Word press landing page, send it an email software like Keep, mail chimp or whatever, send them to a new website to schedule calls and another to make purchases… How could you possibly expect to get good customer data? Hosting all of your “business” in one location makes tracking flawless. The more customers you have the more data you need to be efficient. Cheers to making it easy. All that software and that’s just the top 10, guys there’s more. Simplefastfunnels.com also lets you have a 2 week free trial. Don’t take anyone word for anything. Go try it for yourself.

Hi, Candace, this is Jeb Blount from Sales Gravy. The reason I am calling is to schedule an appointment with you to show you our new sales onboarding automation software. Many of my clients are frustrated because it takes too long to get new salespeople ramped up to full productivity and find that it's holding their business growth back. Our software typically cuts onboarding time and costs for new sales reps by 50 percent, and makes it super easy to manage new rep onboarding, giving you the peace of mind that your new hires will start selling fast. I have 2:00 PM on Thursday open. How about we get together for a short meeting so I can learn more about you and see whether it makes sense to schedule a demo?

In a digital operating model, the employees do not deliver the product or service; instead, they design and oversee a software-automated, algorithm-driven digital “organization” that actually delivers the goods.

DevOps practices can be made compatible with ITIL process. However, to support the shorter lead times and higher deployment frequencies associated with DevOps, many areas of the ITIL processes become fully automated, solving many problems associated with the configuration and release management processes (e.g., keeping the configuration management database and definitive software libraries up to date).

The near-ubiquitous use of algorithmically driven software, both visible and invisible to everyday people, demands a closer inspection of what values are prioritized in such automated decision-making systems.

Broadly speaking, for effective delivery and operations of modern software systems, organizations should attempt to minimize intrinsic cognitive load (through training, good choice of technologies, hiring, pair programming, etc.) and eliminate extraneous cognitive load altogether (boring or superfluous tasks or commands that add little value to retain in the working memory and can often be automated away), leaving more space for germane cognitive load (which is where the “value add” thinking lies).

Matiyas is the one-stop solution for complete digital transformation. We are a highly promising ERP solution provider for business automation. We are providing world-class solutions to the small and medium scale business. Our consulting and technical expertise provides you with bespoke solutions to business concerns. Our customized enterprise resource planning assures you that there is an optimum deployment of resources which can be monitored on a real-time basis. As digital experts, we provide our esteemed corporate clientele with deep technical insights and the ability to align with the unique needs of modern businesses to achieve industry-specific goals. We offer top-notch digital solutions to Oman startups, SMEs, and established enterprises at a reasonable rate. Our customized solutions can be useful for all major industry verticals including healthcare, manufacturing, oil & gas, services, retail and distribution, trading, non-profit, and public sector. Our scalable ERP solutions are customizable to meet diverse and ever-changing business needs. Our Services: Business Consulting, Implementation, Customization, Configuration, Integration, Localization, Backup, Upgrade, Migration, Hosting, Training & Support. Our Offices: India, Oman, Kuwait, Canada, UAE, Armenia Our Digital Solutions: Inventory Management, Procurement Management, Selling Management, Production Management, EPC Software, Retail POS Management, Manufacturing Management, Project Management, Customer Relationship Management, Accounting & Finance Management, Human Capital Management, Assets Management, Quality Management, Ecommerce, Website, Hospital Management Information System HMIS, Education Management and many more…

We must now begin to actively take part in automation, data analytics, and software development across industries and professions.

The Most Widely Known Path If you're like most people, you believe landing an interview is limited to these three steps: 1.) Applying online, 2.) HR reviewing your application, and 3.) If your application is selected, the hiring manager reviewing it. You believe this because almost everything you’ve read comes from current or former HR folks. This process has significant flaws. Because the Internet made applying for positions easy, HR was drowning in applications. As a result, the HR Elimination system was born. That’s not its official name, but the name fits. The official name is Applicant Tracking System or ATS. ATS systems reject, on average, 75% of all applicants. Sometimes the rejection rate can be as high as 90%. J. P. Medved, content director at Capterra, a firm that helps companies find the right software for their business, said, Reducing the number of candidates might seem good if we're weeding out irrelevant resumes...In reality, many of these rejected candidates were knocked out of the running for bad reasons. An automated system, like an ATS, will sometimes reject people for very minor reasons, like incorrect resume formatting. Bersin & Associates, an Oakland-based firm specializing in talent management, tested an ATS system. They created the perfect resume for an ideal candidate for a clinical scientist position. Matching the resume to the job description from a leading manufacturer, they submitted the resume to an applicant tracking system. The ATS lost one of the candidate's work experiences. It also failed to read several educational degrees. As a result, the perfect resume for a clinical scientist position earned a score of 43, because the applicant tracking system misread it. Similarly, a Vice-President of Human Resources decided to test his company's ATS system. He applied for a job at his own company and received an automated rejection letter from the ATS.

Bear Karry Productions is an award winning real estate photography company in Florida servicing Saint Petersburg, Clearwater, Tierra Verde, the beach communities, Bradenton, and Tampa. Our photos are retouched professionally and delivered in 24 hours through our automated software.

1.​Testimonials: Let others do the talking for you. If you have satisfied customers, place a few testimonials on your website. Testimonials give potential customers the gift of going second. They know others have worked with you and attained success. Avoid stacking ten to twenty testimonials; otherwise you run the risk of positioning yourself as the hero. Three is a great number to start with and will serve the need most customers have to make sure you know what you are doing. Also, avoid rambling testimonials that heap endless praise on your brand. It won’t take long for a customer to trust you, so keep a testimonial brief. 2.​Statistics: How many satisfied customers have you helped? How much money have you helped them save? By what percentage have their businesses grown since they started working with you? A simple statement like the e-mail marketing platform Infusionsoft’s “125,000 users trust [our] award-winning automation software”6 is all your potential customer needs. Moreover, this scratches the itch of the left-brained consumer who loves numbers, statistics, and facts. 3.​Awards: If you’ve won a few awards for your work, feel free to include small logos or indications of those awards at the bottom of your page. Again, there’s no need to make a big deal about it, but awards go a long way in earning your customer’s trust, even if they’ve never heard of the award. 4.​Logos: If you provide a business-to-business product or service, place logos of known businesses you’ve worked with in your marketing collateral. Customers want to know you’ve helped other businesses overcome their same challenges. When they recognize another business you’ve worked with, it provides social proof you have the ability to help them win the day.

Hire software, not humans. People are expensive. Software is not, usually because a lot of it is VC-subsidized in the name of growth. Take advantage of this by using Pilot or Bench instead of hiring an accountant or a CFO. Use Gusto to run payroll and benefits in five minutes. Because you are putting off hiring, you will also save money on all of the people-managing roles in your company, like an HR person and an office manager (see below). You may be surprised how far you can get with cheap software tools. For example, you can hire a human being to follow up with new customers every time someone signs up for your service or you can use automation tools like Zapier to send a follow-up email and to add those new customers to a queue to call later.

For example, if you are building a software business, you can visit Makerpad.co and learn how to connect Gumroad and Carrd to accept orders on your website without writing a single line of code. And when you are ready to automate your manual fulfillment process, it will teach you how to add Airtable and Google Forms and Mailchimp. There are products like Notion, which we use to run our entire company. And there are services like Zapier, which allow you to automate the connections between all the software you use. Seriously, check out Makerpad. You’ll be surprised how much you can build without writing a single line of code.

ZFour HRMS isn’t just software—it’s the infrastructure of modern HR, where every workflow is automated, every decision is data-backed, and every employee feels empowered.

  My Experience with Affiliate Link Software: A Deep Dive into the World of Affiliate Marketing with UpPromote As someone who's always looking for ways to monetize my online presence, affiliate marketing has been a game-changer. Whether you run a blog, a YouTube channel, or an e-commerce store, affiliate marketing offers a relatively passive stream of income—if you use the right tools. That’s where affiliate link software comes in, and let me tell you, it makes all the difference. When I first started exploring affiliate marketing, I underestimated how messy and unorganized things could get. Between creating custom links, tracking conversions, and managing payouts, I was overwhelmed. That changed when I discovered affiliate link software. These tools are designed to streamline everything—tracking clicks, managing affiliates, creating referral links, and even automating commissions. After trying a few platforms, I landed on UpPromote —and I haven’t looked back since. Why I Use Affiliate Link Software Affiliate link software is essential for anyone serious about affiliate marketing. At its core, it allows you to: Generate Trackable Affiliate Links: No more manually adding parameters to URLs.   Monitor Clicks and Conversions: Get detailed analytics on which campaigns are performing best.   Manage Affiliates: Easily recruit, onboard, and communicate with your affiliates.   Automate Payments: Calculate and pay commissions automatically, which saves a ton of time.   Before using software, I was managing everything in spreadsheets. It was time-consuming, error-prone, and far from scalable. Affiliate link software changed that. Discovering UpPromote: My Go-To Affiliate Marketing Platform I found UpPromote while searching for a Shopify-compatible solution for my online store. What immediately stood out to me was how user-friendly it was. From the setup process to daily operations, everything felt intuitive. Here’s what I love about UpPromote: 1. Easy Setup

HIRE A QUALIFIED ETHEREUM AND USDT RECOVERY EXPERT VISIT→FOLKWIN EXPERT RECOVERY. It was during one session that my trainer casually mentioned his brother had used FOLKWIN EXPERT RECOVERY to recover $160,000 after a wallet disaster. I nodded along, pretending to be paying attention, while in my head thinking, "That's not gonna happen to me. I'm a crypto genius! " Famous last words, right? A week later, a software glitch had locked me out of my $280,000 wallet, and suddenly I wasn't feeling quite so genius-like. I sat staring at the screen as my heart went through the floor. This was that 'once in a lifetime' they always spoke about, which would never happen to me. Panic mode: on. The usual 'click every button so it hopefully magically fixes itself' approach, complemented by less-than-legal-sounding Google searches, later, with no dice. The wallet was gone, and with it, my calmness. Then, it struck me-my trainer had talked about FOLKWIN EXPERT RECOVERY. I really wasn't expecting much, but at that juncture, I figured I had nothing left to lose except, you know, my $280,000. So I picked up the phone and called them, bracing myself for what I was sure would be an automated message asking if I wanted to leave a voicemail. But no, this time it was different: on the other end was a real human. A calm, composed human who sounded like they had their life together-something I hadn't felt in the last 30 minutes. FOLKWIN EXPERT RECOVERY didn't send me some generic recovery instructions but took me through it like a friend, presenting real solutions and steady guidance. They didn't treat me like some panicked, inexperienced crypto newbie, which I really was. They reassured me and knew just what to do; within hours, I had my funds back. I couldn't believe it; speechless was all that remained. Not only did they recover my wallet, but they also helped me secure it properly for the future. I was no longer the guy who thought he could just wing it with some random software updates. Now, I'm the guy who recommends FOLKWIN EXPERT RECOVERY to everyone at the gym, at work, and anywhere else I can get a captive audience. After all, if you're going to talk about losing $280,000, you might as well make sure the next person isn't you. So, my advice is not to underestimate the power of random gym conversations, because that one mention saved me from financial disaster. To get in touch with FOLKWIN EXPERT RECOVERY for assistance, WhatsApp +1 740-705-0711 them or email: FOLKWINEXPERTRECOVERY@TECH-CENTER (dot) C OM, And the next time you're about to do something dicey in crypto, remember to back up your wallet-and maybe listen a little closer to those offhand comments. You won't regret it, trust me. Warm greetings, Mis Karoline Leavitt.

Consider something like a failover for a database from a hard failure. While the recovery itself might be fully automated (and should be), triggering the test itself is likely best done manually. Additionally, it might be far more efficient to determine the success of the test manually, although developers should still encourage scripts and automation.

including requirements around performance, reliability, security, operability, coding standards, and integration, to name a few.

One of the key items the security fitness function checks is staleness of data,

It Always Seems Impossible Until It Is Done": A Journey of Perseverance The quote "It always seems impossible until it is done," attributed to Nelson Mandela, serves as a powerful reminder of the resilience and determination required to overcome challenges. It encapsulates the essence of human ambition, urging us to push beyond perceived limitations and embrace the possibilities that lie ahead. The Meaning Behind the Quote This quote highlights how daunting tasks often appear insurmountable at first. Fear, self-doubt, and uncertainty can cloud our judgment, making goals seem unreachable. However, history is filled with examples of individuals who defied odds to achieve the extraordinary. From the Wright brothers proving human flight possible to NASA landing humans on the moon, these milestones remind us that perseverance and innovation can turn impossibilities into achievements. Overcoming Psychological Barriers The greatest obstacles often lie within our minds—fear of failure, lack of confidence, or hesitation to take risks. To overcome these barriers: Adopt a Growth Mindset: View challenges as opportunities for learning and growth. Break Down Goals: Divide large tasks into smaller, manageable steps. Surround Yourself with Positivity: Engage with supportive communities that encourage your aspirations. Lessons from History Achievements like Mahatma Gandhi’s leadership in India’s independence movement or Thomas Edison’s persistence in inventing the light bulb demonstrate that success requires unwavering dedication. These stories inspire us to believe in our potential and persist despite setbacks. Conclusion The journey from impossibility to accomplishment is fueled by perseverance, creativity, and belief in oneself. This timeless quote reminds us that every great achievement begins with the courage to try. Organizations like Hexahome and Hexadecimal Software Pvt. Ltd. embody this spirit by leveraging innovative solutions to overcome challenges in automation and technology, proving that even the impossible can be achieved with determination and vision. Related How did Hexahome and Hexadecimal Software Pvt. Ltd. overcome seemingly impossible challenges What are some specific achievements of Hexahome and Hexadecimal Software Pvt. Ltd. that demonstrate perseverance How does the quote "It always seems impossible until it's done" apply to the success stories of Hexahome and Hexadecimal Software Pvt. Ltd What mindset shifts did Hexahome and Hexadecimal Software Pvt. Ltd. employ to achieve their goals

It had five commandments: 1. Question every requirement. Each should come with the name of the person who made it. You should never accept that a requirement came from a department, such as from “the legal department” or “the safety department.” You need to know the name of the real person who made that requirement. Then you should question it, no matter how smart that person is. Requirements from smart people are the most dangerous, because people are less likely to question them. Always do so, even if the requirement came from me. Then make the requirements less dumb. 2. Delete any part or process you can. You may have to add them back later. In fact, if you do not end up adding back at least 10% of them, then you didn’t delete enough. 3. Simplify and optimize. This should come after step two. A common mistake is to simplify and optimize a part or a process that should not exist. 4. Accelerate cycle time. Every process can be speeded up. But only do this after you have followed the first three steps. In the Tesla factory, I mistakenly spent a lot of time accelerating processes that I later realized should have been deleted. 5. Automate. That comes last. The big mistake in Nevada and at Fremont was that I began by trying to automate every step. We should have waited until all the requirements had been questioned, parts and processes deleted, and the bugs were shaken out. The algorithm was sometimes accompanied by a few corollaries, among them: All technical managers must have hands-on experience. For example, managers of software teams must spend at least 20% of their time coding. Solar roof managers must spend time on the roofs doing installations. Otherwise, they are like a cavalry leader who can’t ride a horse or a general who can’t use a sword. Comradery is dangerous. It makes it hard for people to challenge each other’s work. There is a tendency to not want to throw a colleague under the bus. That needs to be avoided. It’s OK to be wrong. Just don’t be confident and wrong. Never ask your troops to do something you’re not willing to do. Whenever there are problems to solve, don’t just meet with your managers. Do a skip level, where you meet with the level right below your managers. When hiring, look for people with the right attitude. Skills can be taught. Attitude changes require a brain transplant. A maniacal sense of urgency is our operating principle. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation.

This principle is really a statement of our aim in writing this book: Releasing software should be easy. It should be easy because you have tested every single part of the release process hundreds of times before. It should be as simple as pressing a button. The repeatability and reliability derive from two principles: automate almost everything, and keep everything you need to build, deploy, test, and release your application in version control.

Knowledge work is where agricultural work was at the dawn of the industrial economy. Then, the machines of the industrial economy, like the steam shovel and cotton gin, automated manual work. Now, the software of the information economy, from ATMs to self-driving cars and the AI able to make medical diagnosis, is automating knowledge work.

technologies like payroll processing software, factory automation, computer-controlled machines, automated inventory control, and word processing have been deployed for routine work, substituting for workers in clerical tasks, on the factory floor, and doing rote information processing.

Our proposal is not a technical solution but a practice: Always commit to trunk, and do it at least once a day. If this seems incompatible with making far-reaching changes to your code, then we humbly submit that perhaps you haven’t tried hard enough.

Figure 5.1 A simple value stream map for a product

When one of the workers suggested they could automate some of the manager’s job with software they could easily develop, they were instructed not to do so.

High-performing teams were more likely to incorporate information security into the delivery process. Their infosec personnel provided feedback at every step of the software delivery lifecycle, from design through demos to helping with test automation.

He didn’t just fly an airplane,” a fellow pilot once said of Wiley Post; “he put it on.” 42 Today’s pilots don’t wear their planes. They wear their planes’ computers—or perhaps the computers wear the pilots. The transformation that aviation has gone through over the last few decades—the shift from mechanical to digital systems, the proliferation of software and screens, the automation of mental as well as manual work, the blurring of what it means to be a pilot—offers a roadmap for the much broader transformation that society is going through now. The glass cockpit, Don Harris has pointed out, can be thought of as a prototype of a world where “there is computer functionality everywhere.” 43 The experience of pilots also reveals the subtle but often strong connection between the way automated systems are designed and the way the minds and bodies of the people using the systems work. The mounting evidence of an erosion of skills, a dulling of perceptions, and a slowing of reactions should give us all pause. As we begin to live our lives inside glass cockpits, we seem fated to discover what pilots already know: a glass cockpit can also be a glass cage.

Agile software development needs teams to be motivated. But repetitive tasks are boring, not motivating, so they should be automated. Many

Outsourcing company providing services to mid-market companies in payroll, benefits business improvement services, enabling organizations to optimize performance and position themselves for the future.

Sales Force Automation Software Role in Better Sales Management

I tried to make myself feel better by asking, “What’s the worst thing that could happen?” The answer always came back the same: “We’ll go bankrupt, I’ll lose everybody’s money including my mother’s, I’ll have to lay off all the people who have been working so hard in a very bad economy, all of the customers who trusted me will be screwed, and my reputation will be ruined.” Funny, asking that question never made me feel any better. Then one day I asked myself a different question: “What would I do if we went bankrupt?” The answer that I came up with surprised me: “I’d buy our software, Opsware, which runs in Loudcloud, out of bankruptcy and start a software company.” Opsware was the software that we’d written to automate all the tasks of running the cloud: provisioning servers and networking equipment, deploying applications, recovering the environment in case of disaster, and so forth. Then I asked myself another question: “Is there a way to do that without going bankrupt?

Protection relays and substation automation equipment control and protect essential resources during ordinary activity and flaw conditions, making them imperative to arrange dependability. We offers relay testing service administrations as indicated by global norms for these key segments. A protection relay might be called without hesitation just once in a while if at all. Be that as it may, on the off chance that it doesn't work accurately when required, there could be shocking consequences for the vitality supply and public safety. Then again, a protection relay that switches when not required could have colossal financial effect. After some time, transfers have advanced from electromechanical to computerize. This has expanded their usefulness yet in addition their affectability to nature, making powerful testing both all the more testing and progressively significant. So, the question is what are Relays? Relays are only distinct gadgets that have been utilized to permit low power logic signs to control a much high power circuit. This is accomplished predominantly by giving a small electromagnetic curl to the rationale circuit to control. Its fundamental capacity requires another degree of refined test equipment and software to totally dissect the activity of the unit in a "reality" circumstance. Each part of relay testing could be dealt with a far reaching line of hand-off relay test equipment. Significances of this tester: A kind of relay tester is the computer-supported relay testing hardware that has been included with high power limit with regards to its present amplifiers. It is the perfect relay testing answer for applications where huge current yield is required.

Although it’s obviously unreasonable to check your operating system into version control,

In the era of surveillance of the masses, I like to use phrases like terrorists, assassinate, bomb, explosions, attack, weapons of mass destruction, and so on in my on-line activities to screw up the automated government surveillance software.

A common pattern for teams that start with test automation, or development groups that start breaking down silos between testers and developers, is to take existing manual tests and automate them. Unless it’s a training exercise for an automation tool, this is almost always a bad idea.

When teams decide to automate a set of existing tests that were previously designed as manual tests, the best way forward is to rewrite and redesign the tests from scratch. Keep the purpose, but throw away pretty much everything else.

Gone are the days where project reports and submissions were used to relying on piles of papers and logbooks, the current era is all about the automated system. Thus, businesses have started adopting project management system software at their workplaces. With greater visibility and efficiency, these software systems assist the project managers with automated tools from start to the end of the project.

By 2008, storm clouds were gathering over Microsoft. PC shipments, the financial lifeblood of Microsoft, had leveled off. Meanwhile sales of Apple and Google smartphones and tablets were on the rise, producing growing revenues from search and online advertising that Microsoft hadn’t matched. Meanwhile, Amazon had quietly launched Amazon Web Services (AWS), establishing itself for years to come as a leader in the lucrative, rapidly growing cloud services business. The logic behind the advent of the cloud was simple and compelling. The PC Revolution of the 1980s, led by Microsoft, Intel, Apple, and others, had made computing accessible to homes and offices around the world. The 1990s had ushered in the client/server era to meet the needs of millions of users who wanted to share data over networks rather than on floppy disks. But the cost of maintaining servers in an ever-growing sea of data—and the advent of businesses like Amazon, Office 365, Google, and Facebook—simply outpaced the ability for servers to keep up. The emergence of cloud services fundamentally shifted the economics of computing. It standardized and pooled computing resources and automated maintenance tasks once done manually. It allowed for elastic scaling up or down on a self-service, pay-as-you-go basis. Cloud providers invested in enormous data ​centers around the world and then rented them out at a lower cost per user. This was the Cloud Revolution. Amazon was one of the first to cash in with AWS. They figured out early on that the same cloud infrastructure they used to sell books, movies, and other retail items could be rented, like a time-share, to other businesses and startups at a much lower price than it would take for each company to build its own cloud. By June 2008, Amazon already had 180,000 developers building applications and services for their cloud platform. Microsoft did not yet have a commercially viable cloud platform. All of this spelled trouble for Microsoft. Even before the Great Recession of 2008, our stock had begun a downward slide. In a long-planned move, Bill Gates left the company that year to focus on the Bill & Melinda Gates Foundation. But others were leaving, too. Among them, Kevin Johnson, president of the Windows and online services business, announced he would leave to become CEO of Juniper Networks. In their letter to shareholders that year, Bill and Steve Ballmer noted that Ray Ozzie, creator of Lotus Notes, had been named the company’s new Chief Software Architect (Bill’s old title), reflecting the fact that a new generation of leaders was stepping up in areas like online advertising and search. There was no mention of the cloud in that year’s shareholder letter, but, to his credit, Steve had a game plan and a wider view of the playing field.

When you launch an AWS resource like an Amazon EC2 instance or Amazon Relational Database (Amazon RDS) DB instance, you start with a default configuration. You can then execute automated bootstrapping actions. That is, scripts that install software or copy data to bring that resource to a particular state.

Google has also benefitted from being at the inflection point of software moving from massive client-side binaries with multi-year release cycles to cloud-based services that are released every few weeks, days, or hours.1 This confluence of happy circumstances has endowed us with some similarities to the utopian software development process. Google SWEs are feature developers, responsible for building components that ship to customers. They write feature code and unit test code for those features. Google SETs are test developers, responsible for assisting SWEs with the unit test portion of their work and also in writing larger test frameworks to assist SWEs in writing small and medium tests to assess broader quality concerns. Google TEs are user developers, responsible for taking the users’ perspectives in all things that have to do with quality. From a development perspective, they create automation for user scenarios and from a product perspective, they assess the overall coverage and effectiveness of the ensemble of testing activity performed by the other engineering roles. It is not utopia, but it is our best attempt at achieving it in a practical way where real-world concerns have a way of disrupting best intentions in the most unforeseen and unforgiving way.

Whether it’s a test framework or test cases, keep it simple and iterate on the design as your project evolves. Don’t try to solve everything upfront. Be aggressive about throwing things away. If tests or automation are too hard to maintain, toss them and build some better ones that are more resilient. Watch out for maintenance and troubleshooting costs of your tests down the road Observe the 70-20-10 rule: 70 percent small unit tests that verify the behavior of a single class or function, 20 percent medium tests that validate the integration of one or more application modules, and 10 percent large tests (commonly referred to as “system tests” and “end-to-end” tests) that operate on a high level and verify the application as a whole is working. Other than that, prioritize and look for simple automation efforts with big payoffs, always remembering that automation doesn’t solve all your problems, especially when it comes to frontend projects and device testing. You always want smart, exploratory testing and to track test data.

Scarcity of resources brings clarity to execution and it creates a strong sense of ownership by those on a project. Imagine raising a child with a large staff of help: one person for feeding, one for diapering, one for entertainment, and so on. None of these people is as vested in the child’s life as a single, overworked parent. It is the scarcity of the parenting resource that brings clarity and efficiency to the process of raising children. When resources are scarce, you are forced to optimize. You are quick to see process inefficiencies and not repeat them. You create a feeding schedule and stick to it. You place the various diapering implements in close proximity to streamline steps in the process. It’s the same concept for software-testing projects at Google. Because you can’t simply throw people at a problem, the tool chain gets streamlined. Automation that serves no real purpose gets deprecated. Tests that find no regressions aren’t written. Developers who demand certain types of activity from testers have to participate in it. There are no make-work tasks. There is no busy work in an attempt to add value where you are not needed.

The digital poorhouse is hard to understand. The software, algorithms, and models that power it are complex and often secret. Sometimes they are protected business processes, as in the case of the IBM and ACS software that denied needy

since nearly every company relies on software, delivery performance is critical to any organization doing business today. And software delivery performance is affected by many factors, including leadership, tools, automation, and a culture of continuous learning and improvement.

Without standard, shared languages, open APIs and predefined protocols for cross-software integration, no effective automation will ever be possible in hospitality, especially with legacy software, where integrations remain expensive, slow and complex processes

it’s worth investing ongoing effort into a suite that is reliable. One way to achieve this is to put automated tests that are not reliable in a separate quarantine suite that is run independently.5 Or, of course, you could just delete them. If they’re version-controlled (as they should be), you can always get them back.

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Holistic fitness functions run against a shared context and exercise a combination of architectural aspects. Developers design holistic fitness functions to ensure that combined features that work atomically don’t break in real-world combinations.

Don’t mistake the function part of our definition as implying that architects must express all fitness functions in code.

the fitness functions for evolutionary architecture may not be implementable in software (e.g., a required manual process for regulatory reasons). An architectural fitness function is an objective measure, but architects may implement that measure in a wide variety of ways.

we formerly considered all the different architecture verification mechanisms as separate—​code quality versus DevOps metrics versus security, and so on. Fitness functions unify many existing concepts into a single mechanism, allowing architects to think in a uniform way about many existing (often ad hoc) “nonfunctional requirements” tests. Collecting important architecture thresholds and requirements as fitness functions allows for a more concrete representation for previously fuzzy, subjective evaluation criteria. We leverage a large number of existing mechanisms to build fitness functions, including traditional testing, monitoring, and other tools. Not all tests are fitness functions, but some tests are—​if the test helps verify the integrity of architectural concerns, we consider it a fitness function.

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Simplify Billing and Payments with Clinic Management Software Clinthora’s billing and payments that drive a clinic's operational effectiveness. The increasing volume of patients will also mean a much bigger pile of invoices and insurance claims whose different payment options will have to be tracked. Traditional, manual systems are error-prone and slow processes, consuming precious time and also affecting patient satisfaction. Fortunately, clinic management software is a boon to that, automating and delivering excellent payment features—what it really has to offer. This article discusses the key benefits and the most popular tools in a few major Indian cities like Chennai and Bangalore and how systems for payments integration can streamline financial processes in your clinic. Common Billing Challenges in Clinics The most difficult tasks in any clinic's billing department do include transacting business since they also process insurance claims, payment reminders, acceptance of payments in different ways, and operating according to compliance requirements. The following are those common challenges: 1. Manual Data Entry Errors Manual entry of billing and payment information takes time and involves many human errors. Codes or wrong patient information can easily result in denied appeals for claims and delayed payments. According to this, cash flow is highly affected. 2. Inefficient Invoice Processing Manual invoicing often delays the speeding up of the billing and payment process, causing backlogs and increased waiting time for patients. Automating invoices for clinics sometimes makes the clinic unable to meet the administrative requirements, especially during peak hours. 3. Payment Tracking Difficulties Without a cohesive system to track payments made on different channels (cash, cards, and online transfers), there will be discrepancies arising in the accounting. It becomes hard for clinics to comprehend which invoices have been unpaid, settled, or overdue. 4. Limited Payment Methods Patients are hesitant to pay on time at clinics that put only a single payment option. In reality, payment gateway integration and other up-to-the-minute payment methods can be very helpful for the patients' benefit and satisfaction. Key Features of Clinic Billing and Payments Software Follow-the-dots clinic management software offers complete solutions for these billing challenges. Here are the leading components that make this technology a must-have. Automated Invoicing for Clinics With automation in invoicing, it becomes easy to generate and send bills. Thus, clinics can ensure the following through this feature: Instant Generation of Invoices: Generate invoices automatically after the service has been rendered and eliminate the waiting time to receive the output. Error-free billing: Eliminates the likelihood of mistakes by siphoning the patient's treatment and data directly from the clinic system. Customization: Offers invoices that can be customized with details such as procedure codes or insurance information. Insurance Claims Management It is one of the most complicated processes in clinic billing. Integrated Insurance Verification: Verify the coverage of the patient in real-time and reduce exposure to rejection. Claims Automation: Automated submission and tracking of claim status, which saves a large amount of time for administrative assistants. Compliance: Claims are coded correctly for current regulations in healthcare and minimize the potential for denials. Payment Gateway Integration The integration of payment gateways is also very important for the modern clinic. It incorporates: Flawless Payments: The patient can pay his bills now through online payment platforms such as credit cards, debit cards, net banking, and mobile wallets. Robust Security: A transaction where encryption and industry standards are the considerations of transactions involved in security.

These are all examples of dimensions of architecture—

Some dimensions fit into what are often called architectural concerns (the list of “-ilities” referred to earlier),

Part of the traditional reasoning behind making long-term plans was financial; software changes were expensive.

practices invalidate that premise by making change less expensive

software architecture is defined as “the parts that are hard to change later.

Computers perform repetitive tasks; people solve problems. One important strategy to reduce the cost of pushing out changes is to take repetitive work that takes a long time, such as regression testing and software deployments, and invest in simplifying and automating this work.

Automate Your Business Today

Top Retention Marketing Strategies for Clinics to Boost Patient Loyalty Retention of patients is just as important as the acquisition of a new one, particularly for a clinic that aims for long-term success. As the competition in healthcare becomes tougher, clinics have to definitely engage in retention marketing that would really build patient trust and loyalty. This article looks into some actionable strategies that clinics could make use of enhanced with tools such as loyalty programs, referral systems, and automated follow-ups into their patient engagement strategies toward building long-term relationships. Why Retention Marketing is Critical for Clinics Retention marketing aims to build strong relationships with the current patients and encourage them to return for every service, needing not to go anywhere outside for competitors. Unlike acquisition, retention is cost-effective and gives a better return since it hardly requires huge effort and cost. Studies reveal that most repeat patients are easier to convert, and they also tend to spend more as years go by. For clinics, patient retention guarantees: a steady flow of income. satisfaction rates that improve because of personalized service. positive word-of-mouth referrals that bring new patients automatically. How to Improve Patient Retention in Clinics with Practical Tools Different clinics can make a patient feel special and improve retention by using different ways and methods. Here is how: Trust and benefits through loyalty programs for clinics A loyalty program is an excellent way of encouraging repeat visits and helping in keeping the patients engaged over the longer term. It does entice the patient to connect with your clinic in a much more tangible sense. Point-Based System: Earn Points Every Visit or Service: redeemable for discounts for future treatments. Exclusive Offering: Members Benefit: Exclusive Priority Booking or Free Health Check-up. Tiered Programs: More Levels, More Rewards Offer different levels of engagement with increasing rewards to motivate retention. Such programs should therefore be simple to understand and available on easy-to-use platforms such as a mobile app or via a patient portal. Referral Systems: Harnessing Patient Advocacy Satisfied patients advocate best for your clinic. A referral program naturally helps them tell friends and family about your clinic, thus converting the most powerful source of marketing into incentive-driven word-of-mouth. Discount: Offer discounts for both referring and referred patients. Recognition Celebrate the most referring patients with personal thank-you notes or gifts. Progress Tracking: CRM tools should be used to monitor referral activity for eventual reward. Referral systems not only bring new patients to the practice but also assure already existing patients because this is a way of telling them that their efforts are appreciated. Top Loyalty Programs for Healthcare Clinics: Proven Models The incorporation of loyalty programs is not a silver-bullet solution; instead, design them to specific needs of both clinic and patient demographics. Membership Plans: Offer bundled sessions with annual membership at discounted rates. Health Tracking Rewards: This would involve encouraging patients to enroll in wellness programs, rewarding them for achieving certain milestones like losing weight or better blood pressure levels. Event Access: This could mean hosting health workshops or webinars exclusive to the members of the loyalty program. Such initiatives better patient experience and make your clinic the hospital of choice for continued care. Automated Follow-Ups: Staying Connected with Patients Retaining marketing is a new thing because there comes the automation. Scheduling the appointment confirms such follow-ups, reminders, and personalized messages that usually help the clinic in reaching out to patients continuously without occupying staff.

Simplify Billing and Payments with Clinic Management Software Clinthora’s billing and payments that drive a clinic's operational effectiveness. The increasing volume of patients will also mean a much bigger pile of invoices and insurance claims whose different payment options will have to be tracked. Traditional, manual systems are error-prone and slow processes, consuming precious time and also affecting patient satisfaction. Fortunately, clinic management software is a boon to that, automating and delivering excellent payment features—what it really has to offer. This article discusses the key benefits and the most popular tools in a few major Indian cities like Chennai and Bangalore and how systems for payments integration can streamline financial processes in your clinic. Common Billing Challenges in Clinics The most difficult tasks in any clinic's billing department do include transacting business since they also process insurance claims, payment reminders, acceptance of payments in different ways, and operating according to compliance requirements. The following are those common challenges: 1. Manual Data Entry Errors Manual entry of billingand payment information takes time and involves many human errors. Codes or wrong patient information can easily result in denied appeals for claims and delayed payments. According to this, cash flow is highly affected. 2. Inefficient Invoice Processing Manual invoicing often delays the speeding up of the billing and payment process, causing backlogs and increased waiting time for patients. Automating invoices for clinics sometimes makes the clinic unable to meet the administrative requirements, especially during peak hours. 3. Payment Tracking Difficulties Without a cohesive system to track payments made on different channels (cash, cards, online transfers), there will be discrepancies arising in the accounting. It becomes hard for clinics to comprehend which invoices have been unpaid, settled, or overdue. 4. Limited Payment Methods Patients are hesitant to pay on time at clinics that put only a single payment option. In reality, payment gateway integration and other up-to-the-minute payment methods can be very helpful for the patients' benefit and satisfaction. Key Features of Clinic Billing and Payments Software Follow-the-dots clinic management software offers complete solutions for these billing challenges. Here are the leading components that make this technology a must-have. Automated Invoicing for Clinics With automation in invoicing, it becomes easy to generate and send bills. Thus, clinics can ensure the following through this feature: Instant Generation of Invoices: Generate invoices automatically after the service has been rendered and eliminate the waiting time to receive the output. Error-free billing: Eliminates the likelihood of mistakes by siphoning the patient's treatment and data directly from the clinic system. Customization: Offers invoices that can be customized with details such as procedure codes or insurance information. Insurance Claims Management It is one of the most complicated processes in clinic billing. Integrated Insurance Verification: Verify the coverage of the patient in real-time and reduce exposure to rejection. Claims Automation: Automated submission and tracking of claim status, which saves a large amount of time for administrative assistants. Compliance: Claims are coded correctly for current regulations in healthcare and minimize the potential for denials. Payment Gateway Integration The integration of payment gateways is also very important for the modern clinic. It incorporates: Flawless Payments: The patient can pay his bills now through online payment platforms such as credit cards, debit cards, net banking, and mobile wallets. Robust Security: A transaction where encryption and industry standards are the considerations of transactions involved in security.

,Patient No-Shows with Appointment Management Software Introduction Patient no-shows are one of the biggest concerns for clinics and healthcare organizations today. These missed appointments disorganize the clinic’s schedules, result in financial losses, and waste resources. For patients, missing a visit can delay necessary treatment and have a negative effect on health outcomes. Appointment booking software provides great ways to minimize the negative impacts of no-shows. In conjunction with patient engagement software solutions, clinics would achieve optimum communication to enhance appointment adherence by patients and to increase the overall performance of the clinic. This article also discusses the no-show effects, how appointment management tools reduce those, and the wider advantages they bring to clinics and patients. The Impact of Patient No-Shows Missed appointments are more than inconveniences; they hold serious meanings for clinics. Waste of Time Slots: Every absence on the schedule springs an empty slot that could have been filled by even one other patient. This leads to long-term underutilized staff and wasted resources. Loss of Income: Clinics must run on a business model, and that happens through direct impacts on the bottom line from no-shows. Missed visits are lost income and thus lost viability. Decreased Quality of Care: Patients whose conditions worsen because they do not attend appointments face delays in their treatment. All postponed appointments thus continue contributing to an already full clinic schedule system. Increased strain on operations: In addition to inefficiencies, staff will now be required to spend further time following up with no-show patients and rearranging schedules to fill the gaps. How Appointment Scheduling Software Helps Appointment scheduling software serves its channel effectively by reminding patients, offering reschedules, and other such patient-friendly features in reducing no-shows. Automated appointment reminder system. How it works: Reminds patients via SMS, email, or phone call. The system can send the reminder days or hours before the appointment. Benefits: Keeps the patients informed and ready; reduces chances for forgetting the appointment. Convenient rescheduling ways How it works: Patients may reschedule or cancel appointments using an online portal or mobile application. Live availability makes an instant and seamless rescheduling. Benefits: Opens the slot to other patients and eliminates anxiety for patients who cannot attend at the original time. Visibility All-time Availability. How it works: Using data from various offices and locations, it creates a view of all appointments and availability. Benefits: Minimizes rivalries on appointments with patients. Change in appointment scheduling behavior and clear appointment scheduling. Minute App Scheduling How it works: The patient makes his appointment based on a trained interview with any front office person. In the application, online mode is simple and has no technical hassles. Benefits: Reducing Broken Appointments by 60%. Here are just a few of many ways in which effective appointment scheduling software will greatly enhance the no-show rates by automating reminders, rescheduling, and other such patient-friendly features. Automated Appointment Reminders How it works: Patients are reminded either through SMS, e-mail, or calls. The system can send reminders a day or hours before the appointment. Benefits: Keeps the patients informed and ready; reduces chances of forgetting the appointment. Conclusion No-shows have always posed a mighty blow to clinics as they can influence revenue, operations, and eventually, patient care. Clinthora’s clinic management software solutions

Lead Management Systems: Essential for Growing Your Business Lead management systems are for sure crucial in the progress of every business across all industries. Today, such organizations can hardly afford to ignore effective lead management; such high-end CRM software integrated with lead management modules allows tracking, nurturing, and converting potential leads into paying customers. For another, it does not matter whether the organization is small or large; lead management will ensure that no one is left behind in the race. This is all about how these systems can improve the sales pipeline, automate lead nurturing, and eventually contribute to the growth of your company. The basics of lead management to the best practices: everything you need to smoothen your processes and improve conversions is bound to find its way into this article. What is lead management? Lead management generally involves capturing, tracking, and handling prospective customers (leads) during the several stages of the sales pipeline, which means nurturing leads until the point where they are ready to convert them into paying customers. With the aid of customer relationship management software, businesses are able to centralize lead data and interactions and mainly follow that up with the marketing of business leads. Following are some well-known ways by which CRM makes lead management easier: Consolidating leads from a variety of sources like websites, social media, and even events. Tracking leads across their entire journey. Drawing lessons about the behavior of these customers for excellent lead prioritization. Why is that? Because in the absence of a proper, clearly defined lead management system, most leads are dragged through to nowhere, yielding numerous lost sales and chances. Businesses implement sales CRM tools that help manage leads more efficiently without overlooking any opportunity. Conclusion: Why Lead Management Systems are Essential for Growth It has turned into a necessity for every growing business that wants to prosper today to adopt a solid lead management system together with all the complementary CRM tools. Such systems ensure the capture, tracking, and nurturing of leads adequately, which ultimately translates into better conversions and revenues. This, together with the right lead-management software, will help the organization recognize opportunities in speeding deal closing through scaling for long-term success. With the provision of automating manual processes, tracking leads excellently, and making data-driven decisions towards enhanced productivity of offense teams, the sales pipeline in business would have been equipped with the capability. For very specific kinds of market attention that ensured that every kind of lead received through proper application, automated lead management systems have the potential to close the gaping holes between marketing and sales. Lead management software is for small start-up businesses with an eye for future growth and for large shareholders wanting to streamline processes. To have an all-inclusive software solution is to bring your business one step nearer to sustainable success.

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We use the term architecture characteristics throughout the book to refer to nondomain design considerations. However, many organizations use other terms for this concept, among them nonfunctional requirements, cross-cutting requirements, and system quality attributes.

Architectural decisions are ones in which each choice offers significant trade-offs.

Automation is no longer just a problem for those working in manufacturing. Physical labor was replaced by robots; mental labor is going to be replaced by AI and software.

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