Process Automation Quotes

When you repeat a behavior over time, your brain learns to automate the process. It's more energy efficient to automatically do something than to manually weigh your options and decide to act the same way every time. When you make a decision very quickly, it is probably from habit, even if you think you're actively deciding. In a way, you made the decision a while ago.

As a new entrepreneur, you're probably gonna have to hustle hard to get things going at first. But as the business grows and becomes more established, that unrefined hustle should be replaced by automated profit-producing processes and systems. Hustle is good as a temporary mode of operating, but it's unsustainable long term and unprofitable long term.

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.

He was thinking about automated teller machines. The term was aged and burdened by its own historical memory. It worked at cross-purposes, unable to escape the inferences of fuddled human personnel and jerky moving parts. The term was part of the process that the device was meant to replace. It was anti-futuristic, so cumbrous and mechanical that even the acronym seemed dated.

A Checklist is an Externalized, predefined Standard Operating Procedure for completing a specific task. Creating a Checklist is enormously valuable for two reasons. First, Checklisting will help you define a System for a process that hasn’t yet been formalized—once the Checklist has been created, it’s easier to see how to improve or Automate the system. Second, using Checklists as a normal part of working can help ensure that you don’t forget to handle important steps that are easily overlooked when things get busy.

The more automated our experience becomes, the less involved we are in the art of living.

You may not be able to automate the whole process, but you can make the first action mindless. Make it easy to start and the rest will follow.

Always wait until the end of designing a process—after you have questioned all the requirements and deleted unnecessary parts—before you introduce automation.

chickens are grown to standardized sizes so as to make them compatible with automated slaughtering and processing.

We’ve now established three things. First, we don’t need willpower when we don’t desire to do something, and it isn’t a thing some of us have in excess and some of us don’t have at all. It’s a cognitive function, like deciding what to eat or solving a math equation or remembering your dad’s birthday. Willpower is also a limited resource; we have more of it at the beginning of the day and lose it throughout the day as we use it to write emails or not eat cookies. When you automate some decisions or processes (through forming habits), you free up more brain power. Second, for us to make and change a habit, we need a cue, a routine, and a reward, and enough repetition must occur for the process to move from something we have to think about consciously (“I need to brush my teeth,” “I don’t want to drink wine”) to something we do naturally, automatically. Third, throughout the day, we must manage our energy so that we don’t blow out and end up in the place of no return—a hyperaroused state where the only thing that can bring us down is a glass (or a bottle) of wine. Maybe

However, one intriguing shift that suggests there are limits to automation was the recent decision by Toyota to systematically put working humans back into the manufacturing process. In quality and manufacturing on a mass scale, Toyota has been a global leader in automation technologies based on the corporate philosophy of kaizen (Japanese for “good change”) or continuous improvement. After pushing its automation processes toward lights-out manufacturing, the company realized that automated factories do not improve themselves. Once Toyota had extraordinary craftsmen that were known as Kami-sama, or “gods” who had the ability to make anything, according to Toyota president Akio Toyoda.49 The craftsmen also had the human ability to act creatively and thus improve the manufacturing process. Now, to add flexibility and creativity back into their factories, Toyota chose to restore a hundred “manual-intensive” workspaces.

I began looking for these four: Smart. It doesn’t mean high IQ (although that’s great), it means disposed toward learning. If there’s a best practice anywhere, adopt it. We want to turn as much as possible into a routine so we can focus on the few things that require human intelligence and creativity. A good interview question for this is: “Tell me about the last significant thing you learned about how to do your job better.” Or you might ask a candidate: “What’s something that you’ve automated? What’s a process you’ve had to tear down at a company?” Humble. I don’t mean meek or unambitious, I mean being humble in the way that Steph Curry is humble. If you’re humble, people want you to succeed. If you’re selfish, they want you to fail. It also gives you the capacity for self-awareness, so you can actually learn and be smart. Humility is foundational like that. It is also essential for the kind of collaboration we want at Slack. Hardworking. It does not mean long hours. You can go home and take care of your family, but when you’re here, you’re disciplined, professional, and focused. You should also be competitive, determined, resourceful, resilient, and gritty. Take this job as an opportunity to do the best work of your life. Collaborative. It’s not submissive, not deferential—in fact it’s kind of the opposite. In our culture, being collaborative means providing leadership from everywhere. I’m taking responsibility for the health of this meeting. If there’s a lack of trust, I’m going to address that. If the goals are unclear, I’m going to deal with that. We’re all interested in getting better and everyone should take responsibility for that. If everyone’s collaborative in that sense, the responsibility for team performance is shared. Collaborative people know that success is limited by the worst performers, so they are either going to elevate them or have a serious conversation. This one is easy to corroborate with references, and in an interview you can ask, “Tell me about a situation in your last company where something was substandard and you helped to fix it.

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.

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.

It is useful for companies to look at AI through the lens of business capabilities rather than technologies. Broadly speaking, AI can support three important business needs: automating business processes, gaining insight through data analysis, and engaging with customers and employees.

The optimists claim that through the course of evolution the nervous system has become adept at “chunking” bits of information so that processing capacity is constantly expanded. Simple functions like adding a column of numbers or driving a car grow to be automated, leaving the mind free to deal with more data. We

A use case is a description of the way that an automated system is used. It specifies the input to be provided by the user, the output to be returned to the user, and the processing steps involved in producing that output. A use case describes application-specific business rules as opposed to the Critical Business Rules within the Entities.

So, when should you think about automating a process? The simplest answer is, “When you have to do it a second time.” The third time you do something, it should be done using an automated process. This fine-grained incremental approach rapidly creates a system for automating the repeated parts of your development, build, test, and deployment process.

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.

On one weekend, they marched through the factory painting marks on machinery to be jettisoned. “We put a hole in the side of the building just to remove all that equipment,” Musk says. The experience became a lesson that would become part of Musk’s production algorithm. Always wait until the end of designing a process—after you have questioned all the requirements and deleted unnecessary parts—before you introduce automation.

Kensi Gounden, Highly innovative new technologies can be both disruptive and transformative, but technology adoption can also be incremental, such as simply automating a manual process. So introducing business technology innovations, either incremental or step-change, may embrace increasing online connectivity across the business, strategic technology acquisition and use or using time-saving technologies to improve internal communication.

I am the person who spends a great deal of time on the intricacies of interstellar communication through jumpgates—a process, Your Excellency, which is so very automated and regular that my time is absolutely most valuably spent on informing you about it. Would you like to come into a conference room?” One Cyclamen was amazingly obsequious, and in such a way that Eight Antidote felt more flattered than annoyed. He wished he could learn that skill.

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.

The coming wave of automation will move way beyond the factory or public infrastructure and into our very biological processes such as aging and even giving birth. Used as we are to the gradual societal shifts brought about by previous change waves, often allowing decades to adjust and respond, I ask if we as a tribe are ready to abdicate our human sovereignty to the faceless forces of technology? Are you ready for the biggest loss of free will and individual human control in history?

Whenever you face a problem repeatedly, your brain begins to automate the process of solving it. Your habits are just a series of automatic solutions that solve the problems and stresses you face regularly. As behavioral scientist Jason Hreha writes, “Habits are, simply, reliable solutions to recurring problems in our environment.” As habits are created, the level of activity in the brain decreases. You learn to lock in on the cues that predict success and tune out everything else. When

The process of decision making and projecting a future in which one future among many can be selected depends less and less on human will. We may call it the paradox of the decider: as the circulation of information becomes faster and more complex, the time available for the elaboration of relevant information becomes shorter. The more space taken by the available information, the less time there is for understanding and conscious choice. This is why the interdependence between data and decisions is more and more embedded in infomachinery, in technolinguistic interfaces. This is why the execution of the program is entrusted to automated procedures that human operators can neither change nor ignore. The machine pretends to be neutral, purely mathematical, but we know that its procedures are only the technical reification of social interests: profit, accumulation, competition—these are the criteria underlying the automatic procedures embedded in the machine. Human volition is reduced to a procedural pretense.

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.

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.

While poorhouses have been physically demolished, their legacy remains alive and well in the automated decision-making systems that encage and entrap today's poor. For all their high-tech polish, our modern systems of poverty management - automated decision-making, data mining, and predictive analysis - retain a remarkable kinship with the poorhouses of the past. Our new digital tools spring from punitive, moralistic views of poverty and create a system of high-tech containment and investigation. The digital poorhouse deters the poor from accessing public resources; polices their labor, spending, sexuality, and parenting; tries to predict their future behavior; and punishes and criminalizes those who do not comply with its dictates. In the process, it creates ever-finer moral distinctions between the 'deserving' and 'undeserving' poor, categorizations that rationalize our national failure to care for one another.

Work must be refused and reduced, building our synthetic freedom in the process.136 As we have set out in this chapter, achieving this will require the realisation of four minimal demands: 1.Full automation 2.The reduction of the working week 3.The provision of a basic income 4.The diminishment of the work ethic While each of these proposals can be taken as an individual goal in itself, their real power is expressed when they are advanced as an integrated programme. This is not a simple, marginal reform, but an entirely new hegemonic formation to compete against the neoliberal and social democratic options. The demand for full automation amplifies the possibility of reducing the working week and heightens the need for a universal basic income. A reduction in the working week helps produce a sustainable economy and leverage class power. And a universal basic income amplifies the potential to reduce the working week and expand class power.

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

The specific nature of capitalist commodity production shows itself in the fact that it is not simply a labour process in which products are created by the elements of production M and L. Rather the capitalistic form of commodity production is constructed dualistically – it is simultaneously a labour process for the creation of products and a valorisation process. The elements of production M and L figure not only in their natural form, but at the same time as values c and v respectively. They are used for the production of a sum of values, w, and indeed only on condition that over and above the used up value magnitudes c and v there is a surplus s (that is, s = w - c + v). The capitalist expansion of production, or accumulation of capital, is defined by the fact that the expansion of M relative to L occurs on the basis of the law of value; it takes the specific form of a constantly expanding capital c relative to the sum of wages v, such that both components of capital are necessarily valorised. It follows that the reproduction process can only be continued and expanded further if the advanced, constantly growing capital c + v can secure a profit, s. The problem can then be defined as follows – is a process of this sort possible in the long run?”[68]

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.

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.

If we’re not careful, the automation of mental labor, by changing the nature and focus of intellectual endeavor, may end up eroding one of the foundations of culture itself: our desire to understand the world. Predictive algorithms may be supernaturally skilled at discovering correlations, but they’re indifferent to the underlying causes of traits and phenomena. Yet it’s the deciphering of causation—the meticulous untangling of how and why things work the way they do—that extends the reach of human understanding and ultimately gives meaning to our search for knowledge. If we come to see automated calculations of probability as sufficient for our professional and social purposes, we risk losing or at least weakening our desire and motivation to seek explanations, to venture down the circuitous paths that lead toward wisdom and wonder. Why bother, if a computer can spit out “the answer” in a millisecond or two? In his 1947 essay “Rationalism in Politics,” the British philosopher Michael Oakeshott provided a vivid description of the modern rationalist: “His mind has no atmosphere, no changes of season and temperature; his intellectual processes, so far as possible, are insulated from all external influence and go on in the void.” The rationalist has no concern for culture or history; he neither cultivates nor displays a personal perspective. His thinking is notable only for “the rapidity with which he reduces the tangle and variety of experience” into “a formula.”54 Oakeshott’s words also provide us with a perfect description of computer intelligence: eminently practical and productive and entirely lacking in curiosity,

Gadgetry will continue to relieve mankind of tedious jobs. Kitchen units will be devised that will prepare ‘automeals,’ heating water and converting it to coffee; toasting bread; frying, poaching or scrambling eggs, grilling bacon, and so on. Breakfasts will be ‘ordered’ the night before to be ready by a specified hour the next morning. Communications will become sight-sound and you will see as well as hear the person you telephone. The screen can be used not only to see the people you call but also for studying documents and photographs and reading passages from books. Synchronous satellites, hovering in space will make it possible for you to direct-dial any spot on earth, including the weather stations in Antarctica. [M]en will continue to withdraw from nature in order to create an environment that will suit them better. By 2014, electroluminescent panels will be in common use. Ceilings and walls will glow softly, and in a variety of colors that will change at the touch of a push button. Robots will neither be common nor very good in 2014, but they will be in existence. The appliances of 2014 will have no electric cords, of course, for they will be powered by long- lived batteries running on radioisotopes. “[H]ighways … in the more advanced sections of the world will have passed their peak in 2014; there will be increasing emphasis on transportation that makes the least possible contact with the surface. There will be aircraft, of course, but even ground travel will increasingly take to the air a foot or two off the ground. [V]ehicles with ‘Robot-brains’ … can be set for particular destinations … that will then proceed there without interference by the slow reflexes of a human driver. [W]all screens will have replaced the ordinary set; but transparent cubes will be making their appearance in which three-dimensional viewing will be possible. [T]he world population will be 6,500,000,000 and the population of the United States will be 350,000,000. All earth will be a single choked Manhattan by A.D. 2450 and society will collapse long before that! There will, therefore, be a worldwide propaganda drive in favor of birth control by rational and humane methods and, by 2014, it will undoubtedly have taken serious effect. Ordinary agriculture will keep up with great difficulty and there will be ‘farms’ turning to the more efficient micro-organisms. Processed yeast and algae products will be available in a variety of flavors. The world of A.D. 2014 will have few routine jobs that cannot be done better by some machine than by any human being. Mankind will therefore have become largely a race of machine tenders. Schools will have to be oriented in this direction…. All the high-school students will be taught the fundamentals of computer technology will become proficient in binary arithmetic and will be trained to perfection in the use of the computer languages that will have developed out of those like the contemporary “Fortran". [M]ankind will suffer badly from the disease of boredom, a disease spreading more widely each year and growing in intensity. This will have serious mental, emotional and sociological consequences, and I dare say that psychiatry will be far and away the most important medical specialty in 2014. [T]he most glorious single word in the vocabulary will have become work! in our a society of enforced leisure.

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THE SK8 MAKER VS. GLOBAL INDUSTRIALIZATION This new era of global industrialization is where my personal analogy with the history of the skateboard maker diverges. It’s no longer cost-effective to run a small skateboard company in the U.S., and the handful of startups that pull it off are few and far between. The mega manufacturers who can churn out millions of decks at low cost and record speed each year in Chinese factories employ proprietary equipment and techniques that you and I can barely imagine. Drills that can cut all eight truck holes in a stack of skateboard decks in a single pull. CNC machinery to create CAD-perfect molds used by giant two-sided hydraulic presses that can press dozens of boards in a few hours. Computer-operated cutting bits that can stamp out a deck to within 1⁄64 in. of its specified shape. And industrial grade machines that apply multicolored heat-transfer graphics in minutes. In a way, this factory automation has propelled skateboarding to become a multinational, multi-billion dollar industry. The best skateboarders require this level of precision in each deck. Otherwise, they could end up on their tails after a failed trick. Or much worse. As the commercial deck relies more and more on a process that is out of reach for mere mortals, there is great value in the handmade and one of a kind. Making things from scratch is a dying art on the brink of extinction. It was pushed to the edge when public schools dismissed woodworking classes and turned the school woodshop into a computer lab. And when you separate society from how things are made—even a skateboard—you lose touch with the labor and the materials and processes that contributed to its existence in the first place. It’s not long before you take for granted the value of an object. The result is a world where cheap labor produces cheap goods consumed by careless customers who don’t even value the things they own.

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.

Selling is crucial to your success because without the sale, you do not make any money. The great thing about writing a book to position yourself is that the book does a lot of the selling for you. People read the book and come to you for more answers. If you have products created to match the theme of your book, your platform (website) will do the selling for you. Automate as much of the process as you can with opt-in boxes, video sales landing pages and special offers. Make it as easy as you can for your fans and followers. Once your products are created, simply write about them, talk about them, and create articles from the content and say, “Yes” to interviews. The buzz created will point people back to your site where your automatic sales team is ready to take orders 24 hours a day.

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

Even if virtual worlds were tabula rasa, we are encumbered with a great deal of cognitive baggage. Our brains are hardwired with many mental shortcuts to help us make sense of the world. We simply do not have the time to carefully process every piece of information that comes our way. To cope with this inundation of information, our brains have developed automated heuristics that filter and preprocess this information for us. Thus, when we encounter new media and technological devices, we fall back on the existing rules and norms we know.

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

Other problems: the repetition of some central ideas, such as the aforementioned, almost ritualized bows to the blessings of automation and the way automation frequently begins to dictate human actions and thought processes rather than the other way around. And there is what I thought might be an unnecessary overabundance of quoted sources — 375 or so footnotes for 232 pages of text. But that apparatus also demonstrates the

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.

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

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.

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

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.

Countrywide was an early adopter of information technology to process applications. By the mid-1990s, fully 70 percent of loans passing through its automated underwriting system required no human intervention.

This immense, still impending total human sacrifice cannot be appraised in the rational or scientific terms that those who have created this system favor: it is, I stress again, an essentially religious phenomenon. As such it offers a close parallel with the original doctrines of Buddhism, even down to the fact that it shares Prince Gautama's atheism. What, indeed, is the elimination of man himself from the process he in fact has discovered and perfected, with its promised end of all striving and seeking, but the Buddha's final escape from the Wheel of Life? Once complete and universal, total automation means total renunciation of life and eventually total extinction: that very retreat into Nirvana that Prince Gautama pictured as man's only way to free himself from sorrow and pain and misfortune. When the life-impulse is depressed, this doctrine, we know, exerts an immense attraction upon masses of disappointed and disheartened souls: for a few centuries Buddhism became dominant in India and swept over China. For similar reasons it is reviving again today. But note: those who originally accepted this view of man's ultimate destiny, and sought to meet death halfway, did not go to the trouble of creating an elaborate technology to accomplish this end: in that direction they went no farther, significantly enough, than the invention of a water-driven prayer wheel. Instead they practiced concentrated meditation and inner detachment, acts as free from technological intervention as the air they breathed. And they earned an unexpected reward for this mode of withdrawal, a reward that the worshippers of the machine will never know. Instead of extinguishing forever their capacity to feel pleasure or pain, they intensified it, creating poems, philosophies, paintings, sculptures, monuments, ceremonies that restored their hope, their organic animation, their creative zeal: revealing once more in the erotic exuberance an impassioned and exalted sense of man's own potential destiny. Our latter-day technocratic Buddhism can make no such promises

The document, which would later be published by Monthly Review Press, first as a special summer issue of the magazine and then as a book,19 began by describing the death of the union because of its failure to grapple with the question of automation. It went on to say that the rapid development of the productive forces by capitalism and the diminishing number of workers resulting from high technology were forcing us to go beyond Marx because Marx’s analyses and projections had been made in the springtime of capitalism, a period of scarcity rather than of abundance. The document projected blacks replacing workers as the revolutionary social force in the 1960s. It concluded by insisting that no group is automatically revolutionary: People in every stratum [must] clash not only with the agents of the silent police state but with their own prejudices, their own outmoded ideas, their own fears which keep them from grappling with the new realities of our age. The American people must find a way to insist upon their own right and responsibility to make political decisions and to determine policy in all spheres of social existence—whether it is foreign policy, the work process, education, race relations, community life. The coming struggle is a political struggle to take political power out of the hands of the few and put it into the hands of the many. But in order to get this power into the hands of the many, it will be necessary for the many not only to fight the powerful few but to fight and clash among themselves as well.20

When it comes to automation, IT process consultants usually warn organization not to automate a new process before you have had practice running it with pencil and paper.

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

Determine Keywords Use Compete PRO to find out which keywords drive traffic in an industry category; then create a search with them in Traackr to find the influencers. Validate Use the automated tools as a stepping-stone in the influencer discovery process, read their blogs, and validate the data to build relationships with influencers. Show Commitment Influencer identification is not a one-time thing. You need to do it regularly. It is a marriage, not a date. Welcome Surprises Don’t discount the “little” guy. Some of their one-to-one interactions are stronger than those of broadcasters. It takes only a pebble to start an avalanche. Combine Tools Use Google to find the most relevant keywords, Traackr to gain insights, and Klout to validate Twitter. Value Relevance Over Popularity Choose relevance over popularity. The most popular influencers on social media are often the least helpful in a social media campaign. Study Understand the influencer’s core audience. Combine Human and Machine Tools and technology are a good place to start, but we always need the human element.

They wanted the benefits of direct response copy in their business: they wanted to leverage their time, energy and money, while marketing one-to-many and automating their sales and marketing to free up their time and allow them to reach more people than they could without it… But they hated how it made them feel. Inauthentic. Hype-y. Sales-y. Slime-y. Like a used car salesman.

factory automation services Our company majorly dedicated to serving clients having biodiesel plants. Our company has more than 60 engineers who are highly experienced and proficient. Moreover, all our professionals are expertise in different niche such as electrical, process, application, project, mechanical, chemical, civil, structural and controls too. Our professionals do the best possible job to ensure a favorable outcome. For factory automation services, we build and maintain the biodiesel plant. In this context, our experts follow the biodiesel plant construction standards that include plant size determination, selecting an appropriate site, permitting, biodiesel plant engineering, determining your equipment needs, assistance which plant installation, quality and BQ-9000 considerations, plant start up and training, plant management and planning for the future.

A business that doesn't implement a strategy of automation in the client acquisition process is doomed to have slow growth, even puts itself at risk of declining

• Make the most of your bug-tracking system: – Pick one at an appropriate level of complexity for your partic- ular situation. – Make it directly available to your users. – Automate environment and configuration reporting to ensure accurate reports. • Aim – Specific for bug reports that are the following: – Unambiguous – Detailed – Minimal – Unique • When working with users, do the following: – Streamline the bug-reporting process as much as possible. – Communication is key—be patient and imagine yourself in the user’s shoes. • Foster a good relationship with customer support and QA so you can leverage their support during bug fixing.

• 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.

Biodiesel Plants In recent years, SRS International Biodiesel, biodiesel washing, factory automation services, turnkey biodiesel refineries and commissioning services, including hanging the biodiesel plants machine is a category launched. SRS International Biodiesel trade scope project consulting and services, process design, equipment manufacture and supply, engineering tools, establishment and after sales service are also included. It's a huge Biodiesel Plants in Temecula, CA. Machinery manufacturing plant and engineering companies: mainly grain, oil, engaged in general contracting of engineering warehouse, storage, Machinery and equipment manufacturing and oil equipment and grain purchases; By deep processing of oil products; Owners turnkey projects realized.

Business Process Management (BPM) is a systemic approach for capturing, designing, executing, documenting, measuring, monitoring, and controlling both automated and non-automated processes to meet the objectives and business strategies of a company. BPM embraces the conscious, comprehensive, and increasingly technology-enabled definition, improvement, innovation, and maintenance of end-to-end processes. Through this systemic and conscious management of processes, companies achieve better results faster and more flexibly.

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.

Consider this incomplete list of things that can be made better with data: Answering a factual question Telling a story Exploring a relationship Discovering a pattern Making a case for a decision Automating a process Judging an experiment

We recommend creating four types of folders: • Archives (any email that contains information that might be needed) • Automated (any email newsletter that relates to a strategy you’d like to pursue in the future) • Follow-Up (any email relating to a specific action that needs to be completed) • Send (if you use an assistant to process email, then have this person filter messages that require your final approval into this folder)

It was 5:30 in the morning, and Wally’s coffee maker was just completing its automated process, yielding its much appreciated nectar for Richard’s consumption. He filled the biggest cup he could find two-thirds of the way up, and then opened the cabinet, selecting an espresso shot from the shelf. It proclaimed in bright red letters: “WARNING HIGH CAFFIENE. LIMIT 2 PER DAY”. Richard laughed a little as he dumped four of them into his coffee

asked them two key questions. With your current data and processes, what do you need help with? That helped identify inefficiencies and automations that we could put in place to deliver those quick wins. I also asked a broader question: what are you not able to do that we can help with? This helped identify new, additional data sources or functionality not in place that formed our more longer-term plans.

For a well-defined, standard, and stable process involving hand-offs between people and systems, it is preferable to use a smart workflow platform. Such platforms offer pre-developed modules. These are ready-to-use automation programs customized by industry and by business function (e.g., onboarding of clients in retail banking). In addition, they are modular. For example, a module might include a form for client data collection, and another module might support an approval workflow. In addition, these modules can be linked to external systems and databases using connectors, such as application programming interfaces (APIs), which enable resilient data connectivity. Hence, with smart workflows, there is no need to develop bespoke internal and external data bridges. This integration creates a system with high resiliency and integrity. In addition, the standardization by industry and function of these platforms, combined with the low-code functionality, helps to accelerate the implementation.

4. When to use RPA versus smart workflow platforms? These technologies can be used interchangeably. The leading practice is to use smart workflow and low-code platforms as a foundation of the overall automation platform. RPA is used when IA needs to be integrated with legacy systems or automation of bespoke processes.

Another common issue is the lack of interdisciplinarity in the transformation. In our experience, the highest impact is the result of multi-lever end-to-end process automation – not small, siloed implementations, focused on one single technology lever. To achieve this, management should advocate for getting the right talents from across the different parts of an organization to work together (e.g., data scientists, developers, business analysts). Interdisciplinarity is also about avoiding limiting the transformation to the implementation of one single technology lever (e.g., RPA), and about implementing IA on end-to-end processes instead of only a few process tasks. By combining talents and technology levers and targeting end-to-end processes, the organization will create synergies, build economies of scale, and remove potential bottlenecks. Organizations failing to achieve this are not able to scale their IA transformation.

IA not only makes transaction processes more efficient, but it also generates log files for every action, creating transparency and ease of compliance. Machine learning leverages the digital information created by these programs to recognize predictive patterns and project trends.

There are no ready-to-use modules with RPA. Most of the development is bespoke, and all process flows need to be built almost from scratch. The connections also need to be constructed. This results in a more flexible design and implementation of the programs developed, which can fit with more specific business requirements. The key advantage of RPA is that it allows the creation of automation programs that can involve legacy systems (e.g., those which can’t use APIs) or address non-standard requirements (e.g., onboarding of clients for a broker insurance company under Singapore regulations). However, with RPA, the lack of native integration amongst the components has weaknesses. For example, it involves less robustness, weaker data integrity, and lower resilience to process changes. If one part of an RPA program fails, the whole end-to-end process is stopped. As an outcome, based on our experience, the leading practice is to use low-code and smart workflow platforms as a foundation of the overall automation platform. In contrast, RPA is used for any integration of the overall platform with legacy systems or for automation of bespoke processes.

The future of the labor market as we know it is contingent on many different things. It is by and large an iterative process in which we may only know the true outcome by repeated evaluations and followups of each implemented change and/or innovation. Therefore, securing a system of necessary checks-and-balances will be of paramount importance to ensure a successful digital transformation.

She’s often heard that IT is the nerve center of the entire organization, because over the last thirty years almost every business process has been automated through IT systems. But for whatever reason, businesses have allowed their nervous system to become degraded, like multiple sclerosis disrupting the flow of information within the brain and between the brain and the body.

Whenever you face a problem repeatedly, your brain begins to automate the process of solving it. Your habits are just a series of automatic solutions that solve the problems and stresses you face regularly. As behavioral scientist Jason Hreha writes, “Habits are, simply, reliable solutions to recurring problems in our environment.

Automation is certainly one way to improve the leverage of all types of work. Having machines to help them, human beings can create more output. But in both widget manufacturing and administrative work, something else can also increase the productivity of the black box. This is called work simplification. To get leverage this way, you first need to create a flow chart of the production process as it exists. Every single step must be shown on it; no step should be omitted in order to pretty things up on paper. Second, count the number of steps in the flow chart so that you know how many you started with. Third, set a rough target for reduction of the number of steps.

That is, no changes should be able to be made to production unless they have been committed to version control, validated by the standard build and test process, and then deployed through an automated process triggered through a deployment pipeline.

Automation like this makes sense when the eventual time and money saved through more efficient processing and possibly better results outweigh the costs of setting it up.

The rise of a market in which a substantial part of the transactional process is automated, and the decline of the firm as the dominating organizational structure to organize human activity efficiently will uproot labor markets around the world. Nations will face the need to respond to this profound shift in the economy as it endangers many millions of jobs, fuels widespread worries in countless nations, and is already driving populist political movements.

We can rebuild our architecture and infrastructure – the kind, unlike under capitalism, that can largely withstand extreme weather – (largely) out of hemp; we can build a high-speed fully automated system of production from durable, lightweight bioplastic and graphene, out of hemp and other plants, powered by biofuel and hemp batteries, while – because of hemp’s ability to revive soil and absorb CO2 – healing the soil and stabilising the climate in the process. This reconstruction of society, which would raise living standards exponentially for everyone, is not an ideal or a fantasy, it is a necessity both historically and ecologically. But it can only be realised through socialism.

In 2000 a group of computer scientists and engineers at Georgia Tech collaborated on a project called the “Aware Home.”4 It was meant to be a “living laboratory” for the study of “ubiquitous computing.” They imagined a “human-home symbiosis” in which many animate and inanimate processes would be captured by an elaborate network of “context aware sensors” embedded in the house and by wearable computers worn by the home’s occupants. The design called for an “automated wireless collaboration” between the platform that hosted personal information from the occupants’ wearables and a second one that hosted the environmental information from the sensors.

Step Four: Ideal-Week Planning Now you need to take your “only I can do” list and actually plot out how you will get all these things done. I hope your to-do list is shorter than when you picked up this book. If so, that reduction is a massive win in itself. The goal is to schedule all these things out. Literally, go through the list, plot each item into your calendar, and create an automated repeating appointment so it shows up in your calendar on a weekly basis. For example, if only you can write a weekly blog post and you know you need about three hours to write and publish a post, create a three-hour appointment in your calendar from ten to one o’clock on Mondays, for example, and then make it a recurring appointment. The same process can be followed for child-related activities. If you are the person who primarily picks up your kids from school, put an appointment in your calendar for the amount of time it takes to drive or walk to the school, pick them up, and return home. Repeat this task for all the activities you have on the only-you list. Once you’ve entered these activities, you may be thinking, Okay, Lisa, that’s great, but I have now run out of time. So what happens if you actually block everything in and you run out of hours in the week? If I were sitting across from you in a private coaching session, this is what I would ask: •Are all the activities in your calendar truly things only you can do? Is there anything that could be delegated to someone else? •Can any of these activities be batched with something else? For example, could you do research for a blog post on your phone while you run on the treadmill? Can you do phone calls on your commute home or while grocery shopping for your family? •Is everything in your calendar actually aligned with your ideal life plan? Is there anything on the list that is no longer supporting this plan? Be honest with yourself about things that need to go—even if you are having a hard time letting go. •Can you reduce the amount of time it takes to do an activity? This might seem like an incredibly overwhelming exercise, but trust me, it is an incredibly worthwhile exercise. It might seem rigid to schedule everything in your life, but scheduling brings the freedom not to worry about how you are spending your time. You have thought it through, and you know that every worthwhile activity has been accounted for. This system, my friend, is the cure to mom guilt. When you know you have appropriately scheduled dedicated time for your children, your spouse, yourself, and your work, what do you have to feel guilty about?

the reality is that the best outsourcing is not about getting rid of work you don’t want to do. If it’s truly dumb work, maybe it doesn’t have to be done at all. Maybe processes can be automated.

To explain how a dApp works, we’ll use an example from the company Etherisc, which created a dApp for flight insurance to a well-known Ethereum conference. This flight insurance was purchased by 31 of the attendees.23 Figure 5.1 shows a simplified diagram. Using Ethereum, developers can mimic insurance pools with strings of conditional transactions. Open sourcing this process and running it on top of Ethereum’s world computer allows everyday investors to put their capital in an insurance pool to earn returns from the purchasers of insurance premiums that are looking for coverage from certain events. Everyone trusts the system because it runs in the open and is automated by code.

As an outcome, based on our experience, the leading practice is to use low-code and smart workflow platforms as a foundation of the overall automation platform. In contrast, RPA is used for any integration of the overall platform with legacy systems or for automation of bespoke processes.

Deep learning techniques are used when data features are numerous and there is a lack of domain understanding to identify and understand them. This data is typically complex, such as images, videos, or voice recordings. For example, an image contains an indefinite amount of data features (e.g., points, edges, shapes, or objects), and some are relevant to the problem being solved, but others are not. Deep learning is used to solve problems such as image classification, natural language processing, and speech recognition.

Automated testing is the process of writing a program that tests another program. Writing tests is a bit more work than testing manually, but once you’ve done it, you gain a kind of superpower: it takes you only a few seconds to verify that your program still behaves properly in all the situations you wrote tests for.

Wage Garnishment Majority of students complete their education with student loan debt. Once you have graduated from college and stepinto the real world, you realize it isn’t as easy as it seemed. Student loan is one of the most difficult loans to repay and it also cannot be discharged into bankruptcy. Thus it has to be repaid!One thing that should always be kept in mind is to never skip your loan payments. If this happens and happens consecutively for months it will open doors to many other problems. It will put your loan in default; your entire loan amount and interest will become due immediately. It will adversely impact your credit score. We discuss Wage Garnishment with The Student Loan Help Center team, let’s see what they said about it. So What is wage garnishment? Wage garnishment happens when your loan is in default (you can consult The Student Loan help center if you want) i.e you have not paid the loan for consecutive 270 days. Now Wage garnishment is one of the legal consequences of going into default. Through this method the government starts deducting 15% of your income. That means you in hand income willreduce with only 85% coming in your bank account. However the amount of wage that can be garnished for private loandiffers from state to state since every state is not allowed to garnish the wages. How to avoid? As discussed before, wage garnishment happens only when your loan is in default. The department of education sends you one letter when you are in default. The best way to avoid this problem is to avoid going to default. There are numerous measures you can adopt right from very beginning to keep your loan repayment on track. For eg, starting to pay interest in your grace period, automating the process of monthly payments to get some discount from bank etc. Now what if you are in default or going in default, then the best option would be to consider forbearance or deferment which will stop your wages from being garnished. How can it be challenged? If you have just received the notice from Department of Education then you are given one opportunity to get a hearing and object to wage garnishment. You can challenge wage garnishment on following grounds: Your income Your employment Procedures followed to start the garnishment etc Also your wage garnishment cannot begin before the notice of 30 days. During this time period you request a hearing garnishment will be put on hold and if 30 days are over garnishment will not stop if you have won the hearing. One of the Best Student Loan consolidation services in USA is The Student Loan Help Center in Florida for all kind of Student Loan consultation you can contact any time.

If you think automating a process will reduce or eliminate the errors currently in that process, all you'll really be doing is automating the generation of those errors.

If you automate a process that has errors, all you’ve done is automate the generation of those errors.

This includes the creation of automated build, integration, and test processes so that we can immediately detect when a change has been introduced that takes us out of a correctly functioning and deployable state.

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.

The automation of wayfinding serves to “inhibit the process of experiencing the physical world by navigation through it.” 4 As

Wayfaring becomes “an ongoing process of growth and development, or self-renewal.” Transport, on the other hand, is “essentially destination-oriented.

Drawings are not just end products: they are part of the thought process