Automation Technology Quotes

Tweet others the way you want to be tweeted.

One of the biggest mistakes we made was trying to automate things that are super easy for a person to do, but super hard for a robot to do.

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

As AI continues to develop, machines could become increasingly legitimate in autonomously making strategic decisions, an area where humans currently lead.

As algorithms become the most important decision-makers in our lives, the question is not only whether we can trust AI, but whether we can trust that we understand AI well enough.

As advances in AI, machine learning, and neural networks evolve, incomprehensibility will reach even higher levels - exposing these complex systems to both human and machine errors.

There is no economic law that says that everyone, or even most people, automatically benefit from technological progress.

Like a car, a camera is sold as a predatory weapon—one that’s as automated as possible, ready to spring. Popular taste expects an easy, an invisible technology.

Since at least the Great Depression, we’ve been hearing warnings that automation was or was about to be throwing millions out of work—Keynes at the time coined the term “technological unemployment,” and many assumed the mass unemployment of the 1930s was just a sign of things to come—and while this might make it seem such claims have always been somewhat alarmist, what this book suggests is that the opposite was the case. They were entirely accurate. Automation did, in fact, lead to mass unemployment. We have simply stopped the gap by adding dummy jobs that are effectively made up. A combination of political pressure from both right and left, a deeply held popular feeling that paid employment alone can make one a full moral person, and finally, a fear on the part of the upper classes, already noted by George Orwell in 1933, of what the laboring masses might get up to if they had too much leisure on their hands, has ensured that whatever the underlying reality, when it comes to official unemployment figures in wealthy countries, the needle should never jump too far from the range of 3 to 8 percent. But if one eliminates bullshit jobs from the picture, and the real jobs that only exist to support them, one could say that the catastrophe predicted in the 1930s really did happen. Upward of 50 percent to 60 percent of the population has, in fact, been thrown out of work.

Man is to technology what the bee is to the flower. It’s man’s intervention that allows technology to expand and evolve itself and in return, technology offers man convenience, wealth and the lessening burden of physical labor via its automated systems.

Everyone can enjoy a life of luxurious leisure if the machine-produced [robots] wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.

acquiring more education and skills will not necessarily offer effective protection against job automation

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

automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

The turnaround is being driven by automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

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.

We cannot deal with the increasing maldistribution of wealth, the increasing alienation of millions, or the lack of a unified purpose and goal by increasing the efficiency of production, increasing the automation of industry, accelerating our technology, or increasing our reliance on the profit motives of multinational corporations.

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.

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.59

Technology isn’t what makes us “post-human” or “transhuman,” as some writers and scholars have recently suggested. It’s what makes us human. Technology is in our nature. Through our tools we give our dreams form. We bring them into the world. The practicality of technology may distinguish it from art, but both spring from a similar, distinctly human yearning.

The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency. —BILL GATES,

I find these comparisons particularly poignant: life versus death, hope versus fear. Space exploration and the highly mechanized destruction of people use similar technology and manufacturers, and similar human qualities of organization and daring. Can we not make the transition from automated aerospace killing to automated aerospace exploration of the solar system in which we live?

The Negro’s economic problem was compounded by the emergence and growth of automation. Since discrimination and lack of education confined him to unskilled and semi-skilled labor, the Negro was and remains the first to suffer in these days of great technological development.

The birth of the fast food industry coincided with Eisenhower-era glorifications of technology, with optimistic slogans like “Better Living through Chemistry” and “Our Friend the Atom.” The sort of technological wizardry that Walt Disney promoted on television and at Disneyland eventually reached its fulfillment in the kitchens of fast food restaurants. Indeed, the corporate culture of McDonald’s seems inextricably linked to that of the Disney empire, sharing a reverence for sleek machinery, electronics, and automation. The leading fast food chains still embrace a boundless faith in science—and as a result have changed not just what Americans eat, but also how their food is made.

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.

Automation technologies have proved useful with regard to pandemic preparedness and response, but they can also be useful in building resilience against future shocks. Moving the automation agenda forward will be critical to creating more robust and resilient societies and achieving the sustainable development goals.

Automation is what most professionals have in mind when they think of the relevance of technology for their disciplines.

This automation therefore complements but does not fundamentally change the central way in which services are delivered.

Digital disruption and the impact of coronavirus will bring the 2030 technological advancement earlier than predicted

Thanks to technology, we now have access to the entirety of human knowledge from a device that fits in our pocket. The internet is humanity's greatest gift.

As we begin to internalize the technological kingdoms we have built, as we progressively become more superhuman, what will differentiate us from machinery?

The good news is that you can minimize the bias preserved by AI, but this comes as a joint responsibility between leaders, domain experts, and developers.

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

WorkFusion, a start-up company based in the New York City area, offers an especially vivid example of the dramatic impact that white-collar automation is likely to have on organizations. The

Many California farmers have transitioned from delicate crops like tomatoes to more robust nuts because they can be harvested mechanically. Overall agricultural employment in California fell by about 11 percent in the first decade of the twenty-first century, even as the total production of crops like almonds, which are compatible with automated farming techniques, has exploded.

Whereas automation is the use of technology to support this traditional model, innovation enables ways of making practical expertise available that simply were not possible (or even imaginable) without the systems in question.

Let us fool ourselves no longer. At the very moment Western nations, threw off the ancient regime of absolute government, operating under a once-divine king, they were restoring this same system in a far more effective form in their technology, reintroducing coercions of a military character no less strict in the organization of a factory than in that of the new drilled, uniformed, and regimented army. During the transitional stages of the last two centuries, the ultimate tendency of this system might b e in doubt, for in many areas there were strong democratic reactions; but with the knitting together of a scientific ideology, itself liberated from theological restrictions or humanistic purposes, authoritarian technics found an instrument at hand that h as now given it absolute command of physical energies of cosmic dimensions. The inventors of nuclear bombs, space rockets, and computers are the pyramid builders of our own age: psychologically inflated by a similar myth of unqualified power, boasting through their science of their increasing omnipotence, if not omniscience, moved by obsessions and compulsions no less irrational than those of earlier absolute systems: particularly the notion that the system itself must be expanded, at whatever eventual co st to life. Through mechanization, automation, cybernetic direction, this authoritarian technics has at last successfully overcome its most serious weakness: its original dependence upon resistant, sometimes actively disobedient servomechanisms, still human enough to harbor purposes that do not always coincide with those of the system. Like the earliest form of authoritarian technics, this new technology is marvellously dynamic and productive: its power in every form tends to increase without limits, in quantities that defy assimilation and defeat control, whether we are thinking of the output of scientific knowledge or of industrial assembly lines. To maximize energy, speed, or automation, without reference to the complex conditions that sustain organic life, have become ends in themselves. As with the earliest forms of authoritarian technics, the weight of effort, if one is to judge by national budgets, is toward absolute instruments of destruction, designed for absolutely irrational purposes whose chief by-product would be the mutilation or extermination of the human race. Even Ashurbanipal and Genghis Khan performed their gory operations under normal human limits. The center of authority in this new system is no longer a visible personality, an all-powerful king: even in totalitarian dictatorships the center now lies in the system itself, invisible but omnipresent: all its human components, even the technical and managerial elite, even the sacred priesthood of science, who alone have access to the secret knowledge by means of which total control is now swiftly being effected, are themselves trapped by the very perfection of the organization they have invented. Like the Pharoahs of the Pyramid Age, these servants of the system identify its goods with their own kind of well-being: as with the divine king, their praise of the system is an act of self-worship; and again like the king, they are in the grip of an irrational compulsion to extend their means of control and expand the scope of their authority. In this new systems-centered collective, this Pentagon of power, there is no visible presence who issues commands: unlike job's God, the new deities cannot be confronted, still less defied. Under the pretext of saving labor, the ultimate end of this technics is to displace life, or rather, to transfer the attributes of life to the machine and the mechanical collective, allowing only so much of the organism to remain as may be controlled and manipulated.

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.

Sending e-mails and texts is an automated version of writing letters, whereas social networking is an innovative technology, by which we mean, in this context, that it gives rise to ways of communicating that were not possible in the past.

We have invented technologies, from axes to helicopters, that boost our physical capabilities; and others, like spreadsheets, that automate complex tasks; but we have never built a generally applicable technology that can boost our intelligence.

the income from traditional capital is even more unevenly shared out across society than the income from salaries and wages. This fact is true ‘without exception’, notes Thomas Piketty, in all countries and at all times for which data is available.

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.

At various times in the past, technological optimists have predicted that textile workers would benefit from factory automation, that women would be emancipated by washing machines and vacuum cleaners, and that racial discrimination would vanish in the age of computers. If only.

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.

Between 1811 and 1817, a group of English textile workers whose jobs were threatened by the automated looms of the first Industrial Revolution rallied around a perhaps mythical, Robin Hood–like figure named Ned Ludd and attacked mills and machinery before being suppressed by the British government.

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.

All descriptions of how near certainty is to be achieved are based primarily on emerging technologies. A Global Information Grid of “persistent surveillance” will gather information and share that information in a networked “collaborative information environment.” Automated systems will fuse that intelligence and make possible “virtual collaboration among geographically dispersed” analysts who will generate intelligence and, ultimately, knowledge. Some even assume that this “robust intelligence” will deliver not only a clear appreciation for the current situation, but also generate “predictive intelligence” that will allow US forces to “anticipate the unexpected." Despite its enthusiastic embrace, the assumption of near-certainty in future war is a dangerous fallacy.

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.

The Negro's economic problem was compounded by the emergence and growth of automation. Since discrimination and lack of education confined him to unskilled and semi-skilled labor, the Negro was and remains the first to suffer in these days of great technological development. The Negro knew all too well that there was not in existence the kind of vigorous retraining program that could really help him to grapple with the magnitude of his problem.

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.

But if the technological Singularity can happen, it will. Even if all the governments of the world were to understand the “threat” and be in deadly fear of it, progress toward the goal would continue. In fact, the competitive advantage—economic, military, even artistic—of every advance in automation is so compelling that passing laws, or having customs, that forbid such things merely assures that someone else will. —Vernor Vinge, The Coming Technological Singularity, 1993

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?

In the medium term, AI may automate our jobs, to bring both great prosperity and equality. Looking further ahead, there are no fundamental limits to what can be achieved. There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it may play out differently than in the movies. As mathematician Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, in what science-fiction writer Vernor Vinge called a technological singularity. One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders and potentially subduing us with weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all.

America's poor and working-class people have long been subject to invasive surveillance, midnight raids, and punitive public policy that increase the stigma and hardship of poverty. During the nineteenth century, they were quarantined in county poorhouses. During the twentieth century, they were investigated by caseworkers, treated like criminals on trial. Today, we have forged what I call a digital poorhouse from databases, algorithms, and risk models. It promises to eclipse the reach and repercussions of everything that came before. Like earlier technological innovations in poverty management, digital tracking and automated decision-making hid poverty from the professional middle-class public and give the nation the ethical distance it needs to make inhuman choices: who gets food and who starves, who has housing and who remains homeless, and which families are broken up by the state. The digital poorhouse is part of a long American tradition. We manage the individual poor in order to escape our shared responsibility for eradicating poverty.

Oath of Non-Harm for an Age of Big Data I swear to fulfill, to the best of my ability, the following covenant: I will respect all people for their integrity and wisdom, understanding that they are experts in their own lives, and will gladly share with them all the benefits of my knowledge. I will use my skills and resources to create bridges for human potential, not barriers. I will create tools that remove obstacles between resources and the people who need them. I will not use my technical knowledge to compound the disadvantage created by historic patterns of racism, classism, able-ism, sexism, homophobia, xenophobia, transphobia, religious intolerance, and other forms of oppression. I will design with history in mind. To ignore a four-century-long pattern of punishing the poor is to be complicit in the “unintended” but terribly predictable consequences that arise when equity and good intentions are assumed as initial conditions. I will integrate systems for the needs of people, not data. I will choose system integration as a mechanism to attain human needs, not to facilitate ubiquitous surveillance. I will not collect data for data’s sake, nor keep it just because I can. When informed consent and design convenience come into conflict, informed consent will always prevail. I will design no data-based system that overturns an established legal right of the poor. I will remember that the technologies I design are not aimed at data points, probabilities, or patterns, but at human beings.

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.

GET BEYOND THE ONE-MAN SHOW Great organizations are never one-man operations. There are 22 million licensed small businesses in America that have no employees. Forbes suggests 75 percent of all businesses operate with one person. And the average income of those companies is a sad $44,000. That’s not a business—that’s torture. That is a prison where you are both the warden and the prisoner. What makes a person start a business and then be the only person who works there? Are they committed to staying small? Or maybe an entrepreneur decides that because the talent pool is so poor, they can’t hire anyone who can do it as well as them, and they give up. My guess is the latter: Most people have just given up and said, “It’s easier if I just do it myself.” I know, because that’s what I did—and it was suicidal. Because my business was totally dependent on me and only me, I was barely able to survive, much less grow, for the first ten years. Instead I contracted another company to promote my seminars. When I hired just one person to assist me out of my home office, I thought I was so smart: Keep it small. Keep expenses low. Run a tight ship. Bigger isn’t always better. These were the things I told myself to justify not growing my business. I did this for years and even bragged about how well I was doing on my own. Then I started a second company with a partner, a consulting business that ran parallel to my seminar business. This consulting business quickly grew bigger than my first business because my partner hired people to work for us. But even then I resisted bringing other people into the company because I had this idea that I didn’t want the headaches and costs that come with managing people. My margins were monster when I had no employees, but I could never grow my revenue line without killing myself, and I have since learned that is where all my attention and effort should have gone. But with the efforts of one person and one contracted marketing company, I could expand only so much. I know that a lot of speakers and business gurus run their companies as one-man shows. Which means that while they are giving advice to others about how to grow a business, they may have never grown one themselves! Their one-man show is simply a guy or gal going out, collecting a fee, selling time and a few books. And when they are out speaking, the business terminates all activity. I started studying other people and companies that had made it big and discovered they all had lots of employees. The reality is you cannot have a great business if it’s just you. You need to add other people. If you don’t believe me, try to name one truly great business that is successful, ongoing, viable, and growing that doesn’t have many people making it happen. Good luck. Businesses are made of people, not just machines, automations, and technology. You need people around you to implement programs, to add passion to the technology, to serve customers, and ultimately to get you where you want to go. Consider the behemoth online company Amazon: It has more than 220,000 employees. Apple has more than 100,000; Microsoft has around the same number. Ernst & Young has more than 200,000 people. Apple calls the employees working in its stores “Geniuses.” Don’t you want to hire employees deserving of that title too? Think of how powerful they could make your business.

It’s hard to believe you’d have an economy at all if you gave pink slips to more than half the labor force. But that—in slow motion—is what the industrial revolution did to the workforce of the early 19th century. Two hundred years ago, 70 percent of American workers lived on the farm. Today automation has eliminated all but 1 percent of their jobs, replacing them (and their work animals) with machines. But the displaced workers did not sit idle. Instead, automation created hundreds of millions of jobs in entirely new fields. Those who once farmed were now manning the legions of factories that churned out farm equipment, cars, and other industrial products. Since then, wave upon wave of new occupations have arrived—appliance repair person, offset printer, food chemist, photographer, web designer—each building on previous automation. Today, the vast majority of us are doing jobs that no farmer from the 1800s could have imagined.

Things were not quite as sweet when Danielle Mitterrand toured the factory. The Cuba-admiring wife of France’s socialist president François Mitterrand asked a lot of questions, through her translator, about the working conditions, while Jobs, who had grabbed Alain Rossmann to serve as his translator, kept trying to explain the advanced robotics and technology. After Jobs talked about the just-in-time production schedules, she asked about overtime pay. He was annoyed, so he described how automation helped him keep down labor costs, a subject he knew would not delight her. “Is it hard work?” she asked. “How much vacation time do they get?” Jobs couldn’t contain himself. “If she’s so interested in their welfare,” he said to her translator, “tell her she can come work here any time.” The translator turned pale and said nothing. After a moment Rossmann stepped in to say, in French, “M. Jobs says he thanks you for your visit and your interest in the factory.

Imagine that seven out of ten working Americans got fired tomorrow. What would they all do? It’s hard to believe you’d have an economy at all if you gave pink slips to more than half the labor force. But that—in slow motion—is what the industrial revolution did to the workforce of the early 19th century. Two hundred years ago, 70 percent of American workers lived on the farm. Today automation has eliminated all but 1 percent of their jobs, replacing them (and their work animals) with machines. But the displaced workers did not sit idle. Instead, automation created hundreds of millions of jobs in entirely new fields. Those who once farmed were now manning the legions of factories that churned out farm equipment, cars, and other industrial products. Since then, wave upon wave of new occupations have arrived—appliance repair person, offset printer, food chemist, photographer, web designer—each building on previous automation. Today, the vast majority of us are doing jobs that no farmer from the 1800s could have imagined. It

Preventing job losses altogether is an unattractive and probably untenable strategy, because it means giving up the immense positive potential of AI and robotics. Nevertheless, governments might decide to deliberately slow down the pace of automation, in order to lessen the resulting shocks and allow time for readjustments. Technology is never deterministic, and the fact that something can be done does not mean it must be done. Government regulation can successfully block new technologies even if they are commercially viable and economically lucrative. For example, for many decades we have had the technology to create a marketplace for human organs, complete with human ‘body farms’ in underdeveloped countries and an almost insatiable demand from desperate affluent buyers. Such body farms could well be worth hundreds of billions of dollars. Yet regulations have prevented free trade in human body parts, and though there is a black market in organs, it is far smaller and more circumscribed than what one could have expected.22

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.

The cheerleaders of the new data regime rarely acknowledge the impacts of digital decision-making on poor and working-class people. This myopia is not shared by those lower on the economic hierarchy, who often see themselves as targets rather than beneficiaries of these systems. For example, one day in early 2000, I sat talking to a young mother on welfare about her experiences with technology. When our conversation turned to EBT cards, Dorothy Allen said, “They’re great. Except [Social Services] uses them as a tracking device.” I must have looked shocked, because she explained that her caseworker routinely looked at her purchase records. Poor women are the test subjects for surveillance technology, Dorothy told me. Then she added, “You should pay attention to what happens to us. You’re next.” Dorothy’s insight was prescient. The kind of invasive electronic scrutiny she described has become commonplace across the class spectrum today. Digital tracking and decision-making systems have become routine in policing, political forecasting, marketing, credit reporting, criminal sentencing, business management, finance, and the administration of public programs. As these systems developed in sophistication and reach, I started to hear them described as forces for control, manipulation, and punishment

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.

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.

Get unlіmіtеd Free Gеmѕ іn gаmе bу uѕіng оur Lоrdѕ Mоbіlе hасk tооl. Yоu саn uѕе оur hасk whеthеr уоu’rе оn а рhоnе, tаblеt оr PC. It wоrkѕ fоr Andrоіd & іOS dеvісеѕ аnd уоu dоn’t nееd tо јаіlbrеаk оr rооt. Bу uѕіng оur оnlіnе сhеаtѕ tооl, уоu dоn’t nееd tо dоwnlоаd ѕоmеthіng lіkе іnѕtаll hасk tооl еxе fіlе tо уоur соmрutеr bесаuѕе оur tооl іѕ brоwѕеr bаѕеd. And аlѕо Lоrdѕ Mоbіlе сhеаtѕ іѕ frеquеntlу uрdаtеѕ аnd еаѕу tо uѕе. јuѕt сlісk buttоn bеlоw tо ѕtаrt. [Cору lіnk tо уоur brоwѕеr tо vіѕіt] ==>> lordgems.xyz Follow these steps to get your FREE GEMS : 1. Visit lordgems.xyz 2. Enter your " Username " 3. Select Server to Use : Server 1 or 2 4. Select Platform: iOS or Android 5. Click on, "START PROCESS" 6. Select amount of Gems : 10.000, 25.000, 50.000, 100.000 7. Click on, "GENERATE NOW" 8. Click on, "VERIFY" to verify that you are a human and not an automated bot. 9. Click on an OFFER to complete the HUMAN VERIFICATION (Many bots harvest Gems from this site) 10. Enjoy your free Lord Mobile GEMS Game Features ✔ Real-time, multiplayer strategy with RPG elements! ✔ Fight in PvP battles with millions of players around the world! ✔ Spy on your enemies to plan the perfect assault! ✔ Discover an epic world in stunning HD graphics and 3D battle views! ✔ Slay monsters on the world map to find rare treasures! ✔ Upgrade buildings, research technologies, train troops, and do whatever it takes to build and customize the ultimate empire! ✔ Lock your opponents’ Heroes in Prison and make them pay for their release! ✔ Unite your allies in powerful Guilds to conquer the world! ✔ Play on multiple mobile phones and tablets anytime, anywhere, with anyone!” ― Lords Mobile Hack And Cheats Online 2018 No Survey

Therefore, when labour-saving technology reduces total socially necessary labour time (per commodity – for an increase in the number of commodities made may increase socially necessary labour time in absolute terms), there tends to be a relative fall in the surplus value contained in the total value of commodities, ie less surplus value per commodity, despite the fact that the rate of exploitation has increased, ie that each worker is now giving the capitalist more surplus labour time and therefore producing more surplus value relative to their necessary labour. As Grossman says: “Technological progress means that since commodities are created with a smaller expenditure of labour their value falls. This is not only true of the newly produced commodities. The fall in value reacts back on the commodities that are still on the market but which were produced under the older methods, involving a greater expenditure of labour time. These commodities are devalued.”[67] The very possibility of crisis is contained in the contradictory nature of the commodity. It is at once an object of use, or use-value, and something that can be exchanged for another thing, an exchange-value. Since different commodities contain different magnitudes of value and therefore cannot be directly exchanged, the creation of money proceeds logically and historically from the contradiction. It is not the exchange of commodities which regulates the magnitude of their value, but the magnitude of their value which controls their exchange value. Exchange-value is the only form in which the value of commodities can be expressed. Someone will buy a use-value because they need or want it, but only if they can exchange it for something else, ie money. If they do not have enough money, they cannot buy it, and profit goes unrealised. But to focus on this final ‘surface level’ aspect is what produces the mistaken underconsumptionist theory, for it forgets or ignores where it arose from – the dual character of the commodity.

HOW TO CREATE A GOOD HABIT The 1st Law: Make It Obvious 1.1: Fill out the Habits Scorecard. Write down your current habits to become aware of them. 1.2: Use implementation intentions: “I will [BEHAVIOR] at [TIME] in [LOCATION].” 1.3: Use habit stacking: “After I [CURRENT HABIT], I will [NEW HABIT].” 1.4: Design your environment. Make the cues of good habits obvious and visible. The 2nd Law:Make It Attractive 2.1: Use temptation bundling. Pair an action you want to do with an action you need to do. 2.2: Join a culture where your desired behavior is the normal behavior. 2.3: Create a motivation ritual. Do something you enjoy immediately before a difficult habit. The 3rd Law: Make It Easy 3.1: Reduce friction. Decrease the number of steps between you and your good habits. 3.2: Prime the environment. Prepare your environment to make future actions easier. 3.3: Master the decisive moment. Optimize the small choices that deliver outsized impact. 3.4: Use the Two-Minute Rule. Downscale your habits until they can be done in two minutes or less. 3.5: Automate your habits. Invest in technology and onetime purchases that lock in future behavior. The 4th Law: Make It Satisfying 4.1: Use reinforcement. Give yourself an immediate reward when you complete your habit. 4.2: Make “doing nothing” enjoyable. When avoiding a bad habit, design a way to see the benefits. 4.3: Use a habit tracker. Keep track of your habit streak and “don’t break the chain.” 4.4: Never miss twice. When you forget to do a habit, make sure you get back on track immediately. HOW TO BREAK A BAD HABIT Inversion of the 1st Law: Make It Invisible 1.5: Reduce exposure. Remove the cues of your bad habits from your environment. Inversion of the 2nd Law: Make It Unattractive 2.4: Reframe your mind-set. Highlight the benefits of avoiding your bad habits. Inversion of the 3rd Law: Make It Difficult 3.6: Increase friction. Increase the number of steps between you and your bad habits. 3.7: Use a commitment device. Restrict your future choices to the ones that benefit you. Inversion of the 4th Law: Make It Unsatisfying 4.5: Get an accountability partner. Ask someone to watch your behavior. 4.6: Create a habit contract. Make the costs of your bad habits public and painful.

It describes a significantly different way of life. For instance, the Manuscript predicts that we humans will voluntarily decrease our population so that we all may live in the most powerful and beautiful places on the Earth. But remarkably, many more of these areas will exist in the future, because we will intentionally let the forests go uncut so that they can mature and build energy. “According to the Ninth Insight, by the middle of the next millennium,” he continued, “humans will typically live among five hundred year old trees and carefully tended gardens, yet within easy travel distance of an urban area of incredible technological wizardry. By then, the means of survival—foodstuffs and clothing and transportation—will all be totally automated and at everyone’s disposal. Our needs will be completely met without the exchange of any currency, yet also without any overindulgence or laziness. “Guided by their intuitions, everyone will know precisely what to do and when to do it, and this will fit harmoniously with the actions of others. No one will consume excessively because we will have let go of the need to possess and to control for security. In the next millennium, life will have become about something else. “According to the Manuscript,” he went on, “our sense of purpose will be satisfied by the thrill of our own evolution—by the elation of receiving intuitions and then watching closely as our destinies unfold. The Ninth depicts a human world where everyone has slowed down and become more alert, ever vigilant for the next meaningful encounter that comes along. We will know that it could occur anywhere: on a path that winds through a forest, for instance, or on a bridge that traverses some canyon. “Can you visualize human encounters that have this much meaning and significance? Think how it would be for two people meeting for the first time. Each will first observe the other’s energy field, exposing any manipulations. Once clear, they will consciously share life stories until, elatedly, messages are discovered. Afterward, each will go forward again on their individual journey, but they will be significantly altered. They will vibrate at a new level and will thereafter touch others in a way not possible before their meeting.

Some of these bots are already arriving in 2021 in more primitive forms. Recently, when I was in quarantine at home in Beijing, all of my e-commerce packages and food were delivered by a robot in my apartment complex. The package would be placed on a sturdy, wheeled creature resembling R2-D2. It could wirelessly summon the elevator, navigate autonomously to my door, and then call my phone to announce its arrival, so I could take the package, after which it would return to reception. Fully autonomous door-to-door delivery vans are also being tested in Silicon Valley. By 2041, end-to-end delivery should be pervasive, with autonomous forklifts moving items in the warehouse, drones and autonomous vehicles delivering the boxes to the apartment complex, and the R2-D2 bot delivering the package to each home. Similarly, some restaurants now use robotic waiters to reduce human contact. These are not humanoid robots, but autonomous trays-on-wheels that deliver your order to your table. Robot servers today are both gimmicks and safety measures, but tomorrow they may be a normal part of table service for many restaurants, apart from the highest-end establishments or places that cater to tourists, where the human service is integral to the restaurant’s charm. Robots can be used in hotels (to clean and to deliver laundry, suitcases, and room service), offices (as receptionists, guards, and cleaning staff), stores (to clean floors and organize shelves), and information outlets (to answer questions and give directions at airports, hotels, and offices). In-home robots will go beyond the Roomba. Robots can wash dishes (not like a dishwasher, but as an autonomous machine in which you can pile all the greasy pots, utensils, and plates without removing leftover food, with all of them emerging cleaned, disinfected, dried, and organized). Robots can cook—not like a humanoid chef, but like an automated food processor connected to a self-cooking pot. Ingredients go in and the cooked dish comes out. All of these technology components exist now—and will be fine-tuned and integrated in the decade to come. So be patient. Wait for robotics to be perfected and for costs to go down. The commercial and subsequently personal applications will follow. By 2041, it’s not far-fetched to say that you may be living a lot more like the Jetsons!

In the past decade, the historically consistent division in the United States between the share of total national income going to labor and that going to physical capital seems to have changed significantly. As the economists Susan Fleck, John Glaser, and Shawn Sprague noted in the U.S. Bureau of Labor Statistics’ Monthly Labor Review in 2011, “Labor share averaged 64.3 percent from 1947 to 2000. Labor share has declined over the past decade, falling to its lowest point in the third quarter of 2010, 57.8 percent.” Recent moves to “re-shore” production from overseas, including Apple’s decision to produce its new Mac Pro computer in Texas, will do little to reverse this trend. For in order to be economically viable, these new domestic manufacturing facilities will need to be highly automated. Other countries are witnessing similar trends. The economists Loukas Karabarbounis and Brent Neiman have documented significant declines in labor’s share of GDP in 42 of the 59 countries they studied, including China, India, and Mexico. In describing their findings, Karabarbounis and Neiman are explicit that progress in digital technologies is an important driver of this phenomenon: “The decrease in the relative price of investment goods, often attributed to advances in information technology and the computer age, induced firms to shift away from labor and toward capital. The lower price of investment goods explains roughly half of the observed decline in the labor share.

A widely quoted study from the Oxford Martin School predicts that technology threatens to replace 47 percent of all US jobs within 20 years. One of Pew experts even foresees the advent of “robotic sex partners.’’ The world’s oldest profession may be no more. When all this happens, what, exactly, will people do? Half of those in the Pew report are relatively unconcerned, believing — as has happened in the past — that even as technology destroys jobs, it creates more new ones. But half are deeply worried, fearing burgeoning unemployment, a growing schism between the highly educated and everyone else, and potentially massive social dislocation. (The fact that Pew’s experts are evenly split also exposes one of the truths of prognostication: A coin flip might work just as well.) Much of this debate over more or fewer jobs misses a key element, one brought up by some of those surveyed by Pew: These are primarily political issues; what happens is up to us. If lower-skilled jobs are no more, the solution, quite obviously, is training and education. Moreover, the coming world of increasingly ubiquitous robotics has the potential for significant increases in productivity. Picture, for instance, an entirely automated farm, with self-replicating and self-repairing machines planting, fertilizing, harvesting, and delivering. Food wouldn’t be free, but it could become so cheap that, like water (Detroit excepted), it’s essentially available to everyone for an almost nominal cost. It’s a welfare state, of course, but at some point, with machines able to produce the basic necessities of life, why not? We’d have a world of less drudgery and more leisure. People would spend more time doing what they want to do rather than what they have to do. It might even cause us to rethink what it means to be human. Robots will allow us to use our “intelligence in new ways, freeing us up from menial tasks,’’ says Tiffany Shlain, host of AOL’s “The Future Starts Here.’’ Just as Lennon hoped and Star Trek predicted.

Enjoy Swimming throughout the Year with Pool Enclosures One of the most fantastic activities that people like to do in all weather is swimming. But harsh winter season makes you sometimes miss that enjoyment and feel regretted of that open swimming pool. For that the technology has made you get a fruitful option. You can have now various type Pool Enclosures available in the market. These are so effective that can get you the feel of indoor swimming with the automated drive systems. You can make your open area as enclosed one with the available automatic retractable enclosures. This comes out to be the smart option to enjoy swimming even in the coldest weather outside year around. Just like an Indoor Pool you are free to enjoy swimming year around. In all climates the pool enclosure works effective as these are easy to open and close. Thus with this feature you can attach it to your home and detach as well. To choose the suitable you are open with two basic alternates that are tracked and trackless enclosures. The features are all clear as with the tracked system there is no tension of opening and closing while the trackless system requires two people to drag the path on both side equally. Not only using it as an enclosed area to enjoy swimming, there are other facilities too that you can get through it. Making it as a Sunroom in the clear weather and sunny day is one of the spectacular notion. There you can enjoy sunbath if the enclosure is made of glass. The glass made enclosures also work with greenhouse effect best for plants as well. The full height is one more specific feature that can make you enjoy walking around the pool area. You can make your pool safe and clean from dust and dirt particles from which the pool comes in contact obviously. Turn you outer Swimming Pool as an enclosed area and an important part of your home with the enclosures available in the market. There are many companies that are providing different range of products to be made as pool enclosure as per your requirements. You are even open with the option having them installed by the experts which many of the companies avail. Search for the suitable option online. The harsh winter season makes you sometimes miss the enjoyment of swimming and feel regretted of that open swimming pool. For that the technology has made you get a fruitful option of pool enclosures.

Have Enjoyable Swimming with the Indoor Pool by Patio Enclosures Whatsoever be the climate outside the craving for swimming always puts you jump into the swimming pool. And if you have an Indoor Pool then the enthusiasm gets doubled. For this you can make your pool inside the area of home. Or if you are already having an open pool then too there is nothing more to worry. These days the technology has made such advancements that can modify your home constructions without even doing any damage to it. This is well illustrated with the pool enclosures available in the market. You can get them to make your pool come into enclosed area to enjoy the enthusiasm fully. It is a well-known fact that weather has three natures but the most furious is the winter when the chillness is almost killing to roam outside. In that case you forget to swim or can say that miss swimming. There the pool enclosures come to be a supporting property that makes your outer pool to be an indoor swimming pool. With this convenience the Patio Enclosures are helpful in making you home look more extravagant with wonderful finishing touch. It is also known as an inexpensive way to decorate your home. There are various materials that can be made use of making these enclosures. The materials that are used in making enclosures most commonly are fiber, glass, timber, plastic, etc. These days many companies are keen in doing fabrication and installation of variety of enclosure present in their stock. So you need not worry for having construction or reconstruction of pools. They supply with most proficient workers expert in their performance. In the time of technology when every small thing you can get as automated then why not these. You can have the eccentric innovation of automatic pool covers present in the market provided by many companies. With the expected feature of covering and uncovering the swimming pool automatically this type of enclosures are in demand mostly. Through this feature you can have swimming in enclosed area in winters along with enjoying the open pool in summers too as required. You can even make the maintenance costs low by covering the pool not to come in contact with dust or dirt. Indoor pools are fabulous but if you have open pools then make them covered with the patio enclosures. This makes you enjoy swimming throughout the year and also makes the maintenance costs for swimming pools lower.

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.

Automation, which is both the most advanced sector of modern industry and the epitome of its practice, obliges the commodity system to resolve the following contradiction: The technological developments that objectively tend to eliminate work must at the same time preserve labor as a commodity, because labor is the only creator of commodities. The only way to prevent automation (or any other less extreme method of increasing labor productivity) from reducing society’s total necessary labor time is to create new jobs. To this end the reserve army of the unemployed is enlisted into the tertiary or “service” sector, reinforcing the troops responsible for distributing and glorifying the latest commodities; and in this it is serving a real need, in the sense that increasingly extensive campaigns are necessary to convince people to buy increasingly unnecessary commodities.

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.

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

Sales Force Automation Software Role in Better Sales Management

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.

Email marketing is like driving a car. You have to learn how to do it, but once you’ve done so it’s quite easy to take for granted. The litany of technology advances created by email service providers (ESPs) to make sending, tracking, targeting, and automating email easier can make you feel like you’re behind the wheel of a high-tech, luxury sports car. But successful email marketing—like all marketing, really—isn’t about the car, it’s about the driver.

offshoring is often only a way station on the road to automation.

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

Jokaisella teknisellä keksinnöllään, juhlimallaan innovaatiolla, ihminen on tehnyt itseään tarpeettomaksi, pelannut itseään pois maailmasta. Viime vuosina kehitys on ollut räjähdysmäinen. Ihminen on onnistunut hävittää tuottaja, jalostaja, kuljettaja, jakelija ja palvelija. Kun saadaan vielä nitistetyksi kuluttaja, on kaikki ohi. Vähän aikaa vielä robottien kalinaa. Sitten suuri hiljaisuus.

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

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.

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.

In the database world, outside of clouds, it is necessary to automate tasks such as a daily backup, but it does seem that Trove misses such ability due to heavy decisions on which technology to pick or creating from scratch. Implementing a scheduler is in the roadmap, but it is not clear when it will happen

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.

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.

Don’t these so-called advances also cause us to lose valuable mental skills? Each technological advance that provides a mental aid also brings along critics who decry the loss of the human skill that has been made less valuable. Fine, I say: if the skill is easily automated, it wasn’t essential.

The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency. —BILL GATES

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)

The world in which I grew up, the old industrial economy, was radically transformed by the last wave of innovation. The story is by now well worn: technology, automation, globalization.

Our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed technology. That badly designed technology is getting in the way of everyday life rather than making life easier. Simple things like finding a new friend's phone number or up-to-date email address have become time-consuming. The problem here, as in so many cases, is too much technology and not enough people. We turned over record-keeping to computational systems but fired all the humans who kept the information up-to-date. Now, since nobody goes through and makes sure all the contact information is accurate in every institutional directory, it is more difficult than ever to get in touch with people.

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.

By adding the expertise of QA, IT Operations, and Infosec into delivery teams and automated self-service tools and platforms, teams are able to use that expertise in their daily work without being dependent on other teams.