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.

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

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

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

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.

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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

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.

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.

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.

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

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.

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

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).

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

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

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.

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.

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

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

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

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

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.

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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?

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.

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.

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.

Figure 5.1 A simple value stream map for a product

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

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.

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.

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.

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.

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.

• 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.

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.

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

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

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.

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

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.

Sales Force Automation Software Role in Better Sales Management

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.

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

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.

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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.

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,

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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.

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.

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.

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.

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.

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.

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.

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.

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

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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.

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.

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

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.