Shyam's Slide Share Presentations

VIRTUAL LIBRARY "KNOWLEDGE - KORRIDOR"

This article/post is from a third party website. The views expressed are that of the author. We at Capacity Building & Development may not necessarily subscribe to it completely. The relevance & applicability of the content is limited to certain geographic zones.It is not universal.

TO VIEW MORE CONTENT ON THIS SUBJECT AND OTHER TOPICS, Please visit KNOWLEDGE-KORRIDOR our Virtual Library

Showing posts with label Peter Drucker. Show all posts
Showing posts with label Peter Drucker. Show all posts

Saturday, October 4, 2014

The manager and the moron 10-04

The manager and the moron



The computer is a moron. And the stupider the tool, the brighter the master must be, says Peter Drucker. In this Quarterly archive article, he explains how “the dumbest tool we have ever had” will compel managers to think through their actions.


As all of us know, during the last 20 years the free world has had the greatest, most sustained economic advance in history. Most of us believe that this has been a time not merely of forward movement, but of vast economic change.

The facts and figures, however, do not support this impression. They show, instead, that our era has actually been a time of unprecedented non-change. It has been largely a period of linear forward movement along old trend lines, of adding new stories to an old building according to the old architectural design.
Imagine an economist in 1913, just before World War I, taking the economic trend lines of what were then already the advanced countries, and projecting each of them ahead to 1966. He would have hit it on the nose for Japan, Western Europe, and the United States, in fact for every one of the developed nations with one important exception—the Soviet Union, which is significantly below where it would have come out on our economist’s projection. 
The reason for this, as all of us know, was that the Russians imposed a political straitjacket on agriculture and froze farm technology just at the worst possible moment, when the technological revolution in farming was getting under way. Worse, they froze the agricultural population. By making it possible for anybody who stayed on the farm to be fed, no matter how poorly, they removed the economic pressure that elsewhere in the world has pushed the farmer off the farm, brought about fantastic productivity jumps in agriculture, and provided labor for the expansion of industry.
Suppose, again, that our economist, having made his projections in 1913, fell into a 50 years’ sleep. When he woke up, he would have found the industrial geography of the world virtually unchanged. Every country that is today an industrially advanced nation was well past the takeoff point in 1913. Not a single new one has joined the club, unless you count satellite economies like Canada, Australia, South Africa, and Mexico. Brazil, which has a long and distinguished history as a country of the future, may join the club tomorrow, but it isn’t quite there yet.
Compared to this linear movement, the 50 years before 1913 present the greatest imaginable contrast. During those five decades the industrial map of the world had been changing as rapidly as the physical map of the world changed in the fifteenth and the early sixteenth centuries—the Age of Discovery. Right after the Civil War, the United States and Germany emerged as economically advanced countries and rapidly overtook the old champion, Great Britain. A quarter of a century later Russia and Japan emerged, along with the western part of Austria-Hungary—the present Czechoslovakia and Austria, with Northern Italy. In short, the 50 years before 1913 were a period of very rapid shifts in economic power relationships.
Since World War I, however, such changes have been absent. This explains why economists of today are so concerned with economic development. Before 1913, it was taken for granted, but since then we’ve apparently gone sterile. And we don’t know how to start it up.
Perhaps the greatest shock to our Rip Van Winkle economist, however, would be the fact that, with the exception of the plastics industry, the main engines of growth in the past 50 years were already mature or rapidly maturing industries, based on well-known technologies, back in 1913.

The dynamos of growth

Our most rapidly advancing industry in the last 20 years of expansion has been agriculture. The productivity of farming has been increasing twice as fast as the productivity of manufacturing in all the developed countries except Russia. Yet the average farmer of today in the United States is not farming in a much more advanced way than the top farmer of 1913. Hybrid seed is about the only new development of any consequence.
And the next dynamo has been the steel industry. World steel capacity has expanded fivefold since 1913. Yet 99 percent of all steel capacity in existence today is built on a technology that was considered antiquated—and Lord knowswas antiquated—in 1913.
Our third engine of growth has been the automotive industry. Yet in 1913 Henry Ford was already producing and selling 183,000 Model T’s, and a year later the figure had climbed to 261,000—more cars than the Soviet Union has ever produced in a single year. Even the Ford Motor Company of 1913 would be a major producer in today’s free-world automotive industry.
Much the same is true of the electrical apparatus industry. Neither Westinghouse, nor GE, nor Siemens was exactly unknown in 1913. They were blue chips. And this is also true of the organic chemical industry.
Plastics is the only industry based on new technology that is economically important today in terms of contribution to gross national product, employment, and so on. As far as the economic statistician is concerned, other industries hardly exist as yet. The airplane began to have an economic impact when the jets came. But the real impact will come with the big freight jets, which will make every airstrip in the world a deep-water port. In a few years, they may make the ocean-going freighter, man’s oldest efficient transportation, look roughly the way the railroads began to look around 1950. This will be one of the greatest changes in transportation we’ve ever had. But it is still ahead of us.

Much ado, little impact

The computers, despite all the excitement they have been generating, are not yet economically important. It’s only now that IBM is shipping them out at a rate of a thousand a month that they’re even beginning to have an impact. But we haven’t begun to use the potential of the computer. So far we are using it only for clerical chores, which are unimportant by definition. To be sure, the computer has created something that had never existed in the history the world—namely, paying jobs for mathematicians. But that is hardly a major economic contribution, no matter what the graduate dean thinks.
So the economic impact of the new technologies is still in the future. If we subtracted every single one of them from the civilian economy, we would hardly notice it in the figures—perhaps a percentage point or two.
But this situation of linear movement is rapidly changing in every respect. And the greatest change is one that our Rip Van Winkle economist, looking only at the figures, wouldn’t even notice: In the past 20 years we have created a brand-new form of capital, a brand-new resource, namely knowledge.
Up until 1900, any society in the world would have done just as well as it did without men of knowledge. We may have needed lawyers to defend criminals and doctors to write death certificates, but the criminals would have done almost as well without the lawyers, and the patients without the doctors. We needed teachers to teach other ornaments of society, but this too was largely decoration. The world prided itself on men of knowledge, but it didn’t need them to keep the society running.
As late as the mid-forties, General Motors carefully concealed the fact that one of its three top men, Albert Bradley, had a PhD. It was even concealed that he had gone to college, because, quite obviously, a respectable man went to work as a water boy at age 14. A PhD was an embarrassing thing to have around.
Nowadays, companies boast about the PhDs on their payrolls. Knowledge has become our capital resource, a terribly expensive one. A man who graduates from a good business school represents some $100,000 of social investment, not counting what his parents spent on him, and not counting the opportunity costs. His grandparents and great-grandparents had to go to work at the age of 12 or 13 with the hoe in the potato patch so that he could forgo those ten years of contribution to society. And that’s a tremendous capital investment.
Besides spending all that money, we are also doing something very revolutionary. We are applying knowledge to work. Seven-odd thousand years ago, the first great human revolution took place when our ancestors first applied skill to work. They did not use skill to substitute for brawn. The most skilled work very often requires the greatest physical strength; no ditchdigger works harder than the surgeon performing a major operation. Rather, our ancestors put skills on top of physical labor. And now—a second revolution—we’ve put knowledge on top of both. Not as a substitute for skill, but as a whole new dimension. Skill alone won’t do it anymore.
Now, this has two or three important implications for management.
First, we must learn to make knowledge productive. As yet we don’t really know how. The payroll cost of knowledge workers already amounts to more than half the labor costs of practically all business I know. That represents a tremendous capital investment in human beings. But so far neither productivity trends nor profit margins show much sign of responding to it. Pretty clearly, although business is paying for knowledge workers, it isn’t getting much back. And if you look at the way we manage knowledge workers, the reason is obvious: we don’t know how.
One of the few things we do know is that for any knowledge worker, even for the file clerk, there are two laws. The first one is that knowledge evaporates unless it’s used and augmented. Skill goes to sleep, it becomes rusty, but it can be restored and refurbished very quickly. That’s not true of knowledge. If knowledge isn’t challenged to grow, it disappears fast. It’s infinitely more perishable than any other resource we have ever had. The second law is that the only motivation for knowledge is achievement. Anybody who has ever had a great success is motivated from then on. It’s a taste one never loses. So we do know a little about how to make knowledge productive.

The obsolescence of experience

Another implication flows from the creation of this new knowledge resource. The new generation of managers, those now aged 35 or under, is the first generation that thinks in terms of putting knowledge to work before one has accumulated a decade or two of experience. Mine was the last generation of managers who measured their value entirely by experience. All of us, of necessity, managed by experience—not a good process, because experience cannot be tested or be taught. Experience must be experienced; except by a very great artist, it cannot be conveyed.
This means that the new generation and my generation are going to be horribly frustrated working together. They rightly expect us, their elders and betters, to practice some of the things that we preach. We don’t dream of it. We preach knowledge and system and order, since we never had them. But we go by experience, the one thing we do have. We feel frustrated and lost because, after devoting half our lifetimes to acquiring experience, we still don’t really understand what we’re trying to do. The young are always in the right, because time is on their side. And that means we have to change.
This brings us to the third implication, a very important one. Any business that wants to stay ahead will have to put very young people into very big jobs—and fast. Older men cannot do these jobs—not because they lack the necessary intelligence, but because they have the wrong conditioned reflexes. The young ones stay in school so long they don’t have time to acquire the experience we used to consider indispensable in big jobs. And the age structure of our population is such that in the next 20 years, like it or not, we are going to have to promote people we wouldn’t have thought old enough, a few years ago, to find their way to the water cooler. Companies must learn to stop replacing the 65-year-old man with the 59-year-old. They must seek out their good 35-year-olds.
For all its importance, however, the appearance of knowledge as a new capital resource is not the most vivid change in our environment, if only because it does not yet have a visible impact on the world’s economic figures. Probably the most vivid change is in technology.
Many of the old technologies, of course, still have a lot of life in them. I think it’s quite clear that the automobile, for instance, has yet to experience its greatest growth period. In the developed countries, however, it’s in a defensive position. I don’t think we need a great deal of imagination to foresee the day when the private car will be banned in the midtown areas or the day when the internal combustion engine will be limited to over-the-road use.
Or consider steel. I think one can quite easily foretell technological changes that will cut the cost of steel by about 40 percent. But whether that’s enough to re-create momentum for the steel industry is debatable. I think that steel would probably need a greater cost advantage to make it again the universal material it used to be. Since steel, like all multipurpose materials, isn’t ideal for any one use, it has to compete on price. And, as you know, the steel industry has lost 20 percent of the markets it had before World War II. 
It’s concrete here, plastic there, and so on. Whether steel will lose the automotive-body business to one of the new composition materials in the next ten years is a moot question. Only a fool would bet on it at this point, but by the same token only a fool would bet against it. If it does happen, it’s very doubtful whether even a 40 percent reduction in cost might be enough to keep steel from joining the long parade of yesterday’s engines of economic growth.
In agriculture, the great need is for an advance in productivity—but again, not in the developed countries. By now, the agricultural population in the developed countries has shrunk to such a small percentage of the total that even tripling its productivity would make little difference in the overall economic picture.
And so on. I’m not saying that the industries based on old technologies can’t advance, but I am saying they’re unlikely to provide the impetus we need for continuing expansion. From now on, I think, the expansion will have to be powered by new industries based on new technologies, something we have not seen to any extent since before World War I.

Enter the knowledge utility

One of the most potentially earthshaking forces in our economy is the technology of information. I don’t mean simply the computer. The computer is to information what the electric power station is to electricity. The power station makes many other things possible, but it’s not where the money is. The money is in the gimmicks and gizmos, the appliances, the motors and facilities made possible and necessary by electricity, that didn’t exist before.
Information, like electricity, is energy. Just as electrical energy is energy for mechanical tasks, information is energy for mental tasks. The computer is the central power station, but there are also the electronic transmission facilities—the satellites and related devices. We have devices to translate the energy, to convert the information. We have the display capacity of the television tube, the capability to translate arithmetic into geometry, to convert from binary numbers into curves. We can go from computer core to memory display, and from either one into hard copy. 
All the pieces of the information system are here. Technically there is no reason why Sears, Roebuck could not offer tomorrow, for the price of a television set, a plug-in appliance that would put us in direct contact with all the information needed for schoolwork from kindergarten through college.
Already the time-sharing principle has begun to take hold. I don’t think it takes too much imagination to see that a typical large company is about as likely to have its own computer 20 years hence as it is to have its own steam-generating plant today. It is reasonably predictable that computers will become a common carrier, a public utility, and that only organizations with quite extraordinary needs will have their own. 
Steel mills today have their own generators because they need such an enormous amount of power. Twenty years hence, an institution that’s the equivalent of a steel mill in terms of mental work—MIT, for example—might well have its own computer. But I think most other universities, for most purposes, will simply plug into time-sharing systems.
It would be silly to try to predict in detail the effects of any development as big as this. All one can foresee for certain is a great change in the situation. One cannot predict what it will lead to, and where and when and how. A change as tremendous as this doesn’t just satisfy existing wants, or replace things we are now doing. It creates new wants and makes new things possible.

A new age of information

The impact of information, however, should be greater than that of electricity, for a very simple reason. Before electricity, we had power; we had energy. It was very expensive and rather scarce, but we had it. Before now, however, we have not had information. Information has been unbelievably expensive, almost totally unreliable, and always so late that it was of little, if any, value. Most of us who had to work with information in the past, therefore, knew we had to invent our own. One developed, if one had any sense, a reasonably good instinct for what invention was plausible and likely to fly, and what wasn’t. But real information just wasn’t to be had. Now, for the first time, it’s beginning to be available—and the overall impact on society is bound to be very great.
Without attempting to predict the precise nature and timing of this impact, I think we can safely make a few assumptions.
Assumption No. 1: Within the next ten years, information will become very much cheaper. An hour of computer time today costs several hundred dollars at a minimum; I have seen figures that put the cost at about a dollar an hour in 1973 or so. Maybe it won’t come down that steeply, but come down it will.
Assumption No. 2: The present imbalance between the capacity to compute and store information and the capacity to use it will be remedied. We will spend more and more money on producing the things that make a computer usable—the software, the programs, the terminals, and so on. The customers aren’t going to be content just to have the computer sitting there.
Assumption No. 3: The kindergarten stage is over. We’re past the time when everybody was terribly impressed by the computer’s ability to do two plus two in fractions of a nanosecond. We’re also past the stage of trying to find work for the computer by putting all the unimportant things on it—using it as a very expensive clerk. Actually, nobody has yet saved a penny that way, as far as I can tell. Clerical work—unless it’s a tremendous job, such as addressing 7 million copies of Lifemagazine every week—is not really done very cheaply on the computer. But then, kindergartens are never cheap.
Now we can begin to use the computer for the things it should be used for—information, control of manufacturing processes, control of inventory, shipments, and deliveries. I’m not saying we shouldn’t be using the computer for payrolls, but that’s beside the point. If payrolls were all it could do, we wouldn’t be interested in it.

Managing the moron

We are beginning to realize that the computer makes no decisions; it only carries out orders. It’s a total moron, and therein lies its strength. It forces us to think, to set the criteria. The stupider the tool, the brighter the master has to be—and this is the dumbest tool we have ever had. All it can do is say either zero or one, but it can do that awfully fast. It doesn’t get tired and it doesn’t charge overtime. It extends our capacity more than any tool we have had for a long time, because of all the really unskilled jobs it can do. By taking over these jobs, it allows us—in fact, it compels us—to think through what we are doing.
But though it can’t make decisions, the computer will—if we use it intelligently—increase the availability of information. And that will radically change the organization structure of business—of all institutions, in fact. Up to now we have been organizing, not according to the logic of the work to be done, but according to the absence of information. Whole organization levels have existed simply to provide standby transmission facilities for the breakdowns in information flow that one could always take for granted. Now these redundancies are no longer needed. We mustn’t allow organizational structure to be made more complicated by the computer. If the computer doesn’t enable us to simplify our organizations, it’s being abused.
Along with vastly increasing the availability of information, the computer will reduce the sheer volume of data that managers have had to cope with. At present the computer is the greatest possible obstacle to management information, because everybody has been using it to produce tons of paper. Now, psychology tells us that the one sure way to shut off all perception is to flood the senses with stimuli. That’s why the manager with reams of computer output on his desk is hopelessly uninformed. That’s why it’s so important to exploit the computer’s ability to give us only the information we want—nothing else. The question we must ask is not, “How many figures can I get?” but “What figures do I need? In what form? When and how?” We must refuse to look at anything else. We no longer have to take figures that mean nothing to us and read them the way a gypsy reads tea leaves.
Instead, we must decide on our information needs and how the computer can fill those needs. To do that, we must understand our operating processes, and the principles behind the processes. We must apply knowledge and analysis to them, and convert them to a clerk’s routine. Even a work of genius, thought through and systematized, becomes a routine. Once it has been created, a shipping clerk can do it—or a computer can do it. So, once we have achieved real understanding of what we are doing, we can define our needs and program the computer to fill them.

Beyond the numbers barrier

We must realize, however, that we cannot put on the computer what we cannot quantify. And we cannot quantify what we cannot define. Many of the important things, the subjective things, are in this category. To know something, to really understand something important, one must look at it from 16 different angles. People are perceptually slow, and there is no shortcut to understanding; it takes a great deal of time. Managers today cannot take the time to understand, because they don’t have it. They are too busy working on things they can quantify—things they could put on a computer.
This is why the manager should use the computer to control the routines of business, so that he himself can spend ten minutes a day controlling instead of five hours. Then he can use the rest of his time to think about the important things he cannot really know—people and environment. These are things he cannot define; he has to take the time to go and look. The failure to go out and look is what accounts for most of our managerial mistakes today.
Our greatest managerial failure rate comes in the step from middle to top management. Most middle managers are doing essentially the same things they did on their entrance jobs: controlling operations and fighting fires. In contrast, the top manager’s primary function is to think. The criteria for success at the top level bear little resemblance to the criteria for promotion from middle management.
The new top manager, typically, has been promoted on the basis of his ability to adapt successfully. But suddenly he’s so far away from the firing line that he doesn’t know what to adapt to—so he fails. He may be an able man, but nothing in his work experience has prepared him to think. He hasn't the foggiest notion how one goes about making entrepreneurial or policy decisions. That’s why the failure rate at the senior-management level is so high. In my experience, two out of three men promoted to top management don’t make it; they stay middle management. They aren’t necessarily fired. Instead, they get put on the Executive Committee with a bigger office, a bigger title, a bigger salary—and a higher nuisance value because they have had no exposure to thinking. This is a situation we are going to eliminate.
On the other hand, we are going to open up a new problem of development at the middle-management level. It isn’t difficult for us to get people into middle management today. But it is going to be, because we shall need thinking people in the middle, not just at the top. The point at which we teach people to think will have to be moved further and further down the line. We can already see this problem in the big commercial banks.
We will have to manage knowledge correctly in order to preserve it. And this gets us into myriad questions of teaching and learning, of developing knowledge and techniques of thinking—not only in the developed nations, but in countries that are yet unaware of the distinction between management-by-experience and management-by-thinking, countries that are unaware of management itself. But that is another subject.

Tuesday, June 25, 2013

How Drucker Thought About Complexity 06-26


How Drucker Thought About Complexity

Throughout his life, Peter Drucker strived to understand the increasing complexity of business and society and, most importantly, the implications for how we can continue to create and deliver value in the face of complexity. I have long been influenced by Drucker's work. In the 1960s and 1970s, he was already anticipating some of the implications of the Big Shift just beginning to emerge: the transition to an information economy, the centrality of knowledge work, and the transformative impact of digital technology on all types of work.
Around that time, two forces coincided, each amplifying the disruptive capacity of the other. First, the deployment of the digital microprocessor and packet-switched networking marked the beginning of the rise of the digital infrastructure that would eventually span the globe, driven by exponential performance improvements in computing, storage, and bandwidth technologies. Digital technology unfolded on top of a second force that had been building for a few decades: a global movement in public policy towards economic liberalization which was systematically reducing barriers to the movement of goods, money, people, and ideas across the boundaries of nations and industries.
The combination of these two forces created enormous opportunities but also enormous challenges. They have systematically and significantly eroded barriers to entry and movement on a global scale. The result is relentlessly mounting performance pressure. Evidence of this pressure is starkly captured in the return on assets (ROA) for all public companies in the US since 1965. Over this period, there has been a sustained and dramatic erosion in performance: ROA has collapsed by 75 percent.
As the effects began to play out in the '70s and '80s, Drucker wrote extensively about the need for management practices to change. He knew that as the nature of work transformed and the pace of change increased, existing management practices, not to mention worker skill sets, would quickly become outdated and fail to meet the needs of the coming information economy. The widespread erosion of ROA confirms that our management practices and institutions are struggling to respond to the relentless pressure. Why haven't they responded more effectively?
The vast increase in the complexity of the economic and social landscape over these decades offers at least a partial explanation. There are many ways to think about complexity, but one key dimension is the degree of connection and interaction among participants. Thanks to the forces described above, we are more connected on a global scale than ever before. Not only are there more connections among more people, the speed of interactions has increased significantly, so that even small events in remote areas can propagate quickly, setting off cascades of events that evolve beyond anyone's expectations. Witness the grassroots political movements that are increasingly shaking up "stable" political regimes around the world. Power laws with spiky heads and very long tails progressively crowd out the familiar bell curves that made life seem predictable.
In this environment, we must re-examine the basic assumptions that drove our business success in the past, starting with the most basic question of all: why do we even come together in institutions such as firms? Almost 80 years ago, Ronald Coase won the Nobel Prize in Economics for an essaythat suggested that we do this for the sake of scalable efficiency — it costs less to coordinate activity within a firm than across independent entities. At the time, this was a remarkably accurate description of the rationale driving the emergence of large corporations around the world.
But times have changed. As the complexity of our environment increases, we need to step back and reassess this rationale. The cost and difficulty of coordinating activities across entities, on a global scale, is far lower now. The pace of change is accelerating and the degree of uncertainty increasing. Perhaps a new rationale will be required to drive institutional success in the future. Perhaps we need to move from a rationale of scalable efficiency to one of scalable learning — designing institutions and architectures of relationships across institutions that help all participants to learn faster as more participants join.
Drucker didn't quite frame it in these terms, but perhaps we need to expand our focus on innovation beyond the narrow frame of technology and product innovation. If we are to successfully adapt to the escalating complexity of our environment, we need to invest more time and energy in exploringinstitutional innovation. In his later writings, Drucker began to explore the periphery of this idea through several themes that are equally relevant to our current perspective:

  • The importance of lifelong learning in a rapidly evolving information society

  • The need to decentralize organizations around employees — viewing them as assets capable of expanding growth rather than as fixed costs to be eliminated — and to move away from standardized and tightly-specified process flows

  • The need for institutions to focus on building capability around core strengths — one of the reasons he was an early proponent of outsourcing as a way to simplify operations and to focus management on what really matters

  • The importance of focusing on the dynamics of evolving economic and social processes rather than on static equilibrium models.

Saturday, April 27, 2013

Archivist’s Pick: Drucker and His Contribution to Freedom 04-27



Archivist’s Pick: Drucker and His Contribution to Freedom



Here’s this month’s piece from the Drucker Institute’s archivist, Bridget Lawlor. By drawing lessons from the vast treasure trove of papers and other objects that are collected in Peter Drucker’s archives, Bridget is giving new life to decades-old material.
In 2002, three years before his death, Peter Drucker was awarded the Presidential Medal of Freedom, the nation’s highest civilian honor.
President George W. Bush recognized Drucker “for his management expertise and impressive consulting work that has helped nonprofit and faith-based institutions, businesses and universities worldwide.” He was honored alongside Nelson Mandela, Placido Domingo, Hank Aaron and other influential figures.
Although Drucker is most often associated with the management of corporations, Bush highlighted an extremely important point: Drucker’s work transcends all types of organizations because he believed that society can flourish and remain free only when all of our institutions—public, private and nonprofit—function effectively and responsibly.
In a 2009 keynote address at the Drucker Centennial, renowned management writer Jim Collins lauded the breadth of Drucker’s impact. “Peter Drucker contributed more to the triumph of freedom and free society over totalitarianism, than anyone in the 20th century,” Collins said, “including, perhaps, Winston Churchill.”
Photo by Anne Fishbein
Photo by Anne Fishbein

Peter Drucker and the Big Data Revolution 04-27


Peter Drucker and the Big Data Revolution


In 1955, Peter Drucker addressed a contingent of IBM executives, praising them for the company’s extraordinary ability to deliver in its accounting machine business “what the customer considers value.”
They “come to you because of the service you give” in “systems and procedures analysis, understanding of data processing and information gathering,” Drucker told the group, which was presided over by IBM’s president, Thomas Watson Jr., the man who over the next 15 years would drive explosive growth at Big Blue.
Then Drucker added, almost wistfully: “I wish you knew more about what to do with information once you get it, but that is a private wish.”
More than half a century later, Drucker’s wish is finally becoming reality, owing in part to the insights of a man who worked closely with another Watson.
Anant Jhingran spent more than 20 years at IBM, where he worked on technologies that were used in the Watson artificial intelligence computer,
Anant Jhingran
Anant Jhingran (Photo credit: Sebastian Bergmann)
which in 2011 famously bested two former champions on the TV quiz show “Jeapordy.” He now works at a Silicon Valley company called Apigee, which offers an array of tools that aim to satisfy just what Drucker envisioned: helping companies figure out what to do with information once they get it.
The challenge, of course, is that there is ever more information to contend with. “Half a century after computers entered mainstream society, the data has begun to accumulate to the point where something new and special is taking place,” Viktor Mayer-Schonberger and Kenneth Cukier write in their new book Big Data: A Revolution That Will Transform How We Live, Work, and Think. “Not only is the world awash with more information than ever before, but that information is growing faster.”
The far more important shift, though, is that this surfeit of information is not simply piling up, like grain in a silo. It is being carefully sifted and sorted so that, in the words of Mayer-Schonberger and Cukier, we can now “extract new insights or create new forms of value, in ways that change markets, organizations” and much more.
Apigee is hardly the only company playing in the Big Data space. A legion of others, including IBM, are helping their corporate customers analyze and contextualize the ocean of information that they now have available. But Apigee is particularly intriguing because of its focus on harnessing the power of mobile apps—the way that increasing numbers of people are choosing to communicate, buy all kinds of things, share and socialize.
The connection between these apps—often developed by communities of independent, third-party programmers—and a company’s internal, backend IT system is known as an application programming interface, or API. Apigee specializes in providing API technology to companies such as Walgreens, eBay and AT&T, as well as to outside app developers. It then helps both camps make sense of the reams of data that get generated so that the best products and services can be delivered to end users as quickly as possible.
With the right sort of API, for example, software developers can quickly detect, diagnose and fix problems with their apps running on mobile devices—in real time.
Meanwhile, executives can swiftly spot consumer trends while pulling in information from a wider and wider variety of sources. The idea is for a company to understand not only what people are buying, but where and how they’re making these purchases—and then what they’re saying about the experience on social media. Armed with this wealth of information, a retailer might target customers with special promotions for items that the company already knows they’re interested in, just as their smartphones signal that they’ve stepped inside one of its stores.
The “API phenomenon” and “a passion for data” are what led Jhingran to Apigee, where he is vice president of products. He carries several lessons from his work at IBM with him. For one thing, he says, he and his fellow IBMers found that people needed to interact with Watson “in the most natural way” possible. Similarly, the data that results from APIs and apps must be presented in a form that is easy to digest. “It needs to be actionable for the business person,” Jhingran says, or it’s basically worthless.
For another thing, Watson taught him that it’s essential to concentrate on the quality of information, rather than the quantity. “A hundred gig of well-processed data is better than terabytes of unprocessed data,” Jhingran says.
Drucker pushed this notion much further, maintaining that “advanced data processing technology isn’t necessary to create an information-based organization.” He noted that “the British built just such an organization in India when ‘information technology’ meant the quill pen and barefoot runners were the communications system.”
But Drucker was also clear that as “advanced technology becomes more and more prevalent, we have to engage in analysis and diagnosis . . . even more intensively or risk being swamped by the data we generate.”
With Big Data, it seems, we are not only managing to avoid any such trap; businesses are taking what could have been a danger and turning it into a tremendous opportunity.

Fear and Trembling—and Solace 04-27



Fear and Trembling—and Solace


It’s been quite a week: a terrorist attack on the Boston Marathon, an even deadlier (unintentional) explosion in Texas, a letter with ricin sent to the president and more deaths and explosions as authorities closed in on the suspects in Monday’s bombings.
In short: terrible.
Having lived through two world wars, in addition to all the other violence and deadly ideologies of the 20th century, Peter Drucker was well acquainted with tragedy. It was, he felt, a central fact of life: a reality that, for all our hopes of progress, was intrinsic to human existence.
The tendency to view humanity as on a steady path from darkness to light, a tendency that was particularly pronounced in the 19th century, was a delusion that continued to exert a hold on people, even as events proved otherwise.
Søren Kierkegaard by Luplau Janssen
Portrait of Søren Kierkegaard by Luplau Janssen
“Our own catastrophes make no impression on the optimism of those thousands of committees that are dedicated to the belief that permanent peace and prosperity will ‘inevitably’ issue from today’s horrors,” Drucker asserted. “To be sure, they are aware of the facts and duly outraged by them. But they refuse to see them as catastrophes. They have been trained to deny the existence of tragedy.”
Drucker did not deny tragedy, and he found solace in the work of Danish philosopher Søren Kierkegaard (“a prophet,” in Drucker’s words). “Human existence is possible only as existence in tragedy,” Drucker wrote of Kierkegaard’s beliefs. “It is existence in fear and trembling; in dread and anxiety; and, above all, in despair.”
And yet Drucker, for all his awareness of tragedy, was not the sort to despair. He found much to be lauded in human resilience, which was on vivid display in the wake of countless global tragedies.
“Most of this world, and especially the developed world, somehow managed not only to recover from the catastrophes again and again but to regain direction and momentum—economic, social, even political,” Drucker wrote in a 1986 preface to The Frontiers of Management. “The main reason was that ordinary people, people running the everyday concerns of everyday businesses and institutions, took responsibility and kept on building for tomorrow while all around them the world came crashing down.”
What gives you strength in times of adversity?

This Post, Too, Is Self-Published 04-27



This Post, Too, Is Self-Published

Posted on Apr 17, 2013 | 
It used to be called vanity publishing, but self-publishing is no longer a niche.
“As digital disruption continues to reshape the publishing market, self-publishing—including distribution digitally or as print on demand—has become more and more popular, and more feasible, with an increasing array of options for anyone with an idea and a keyboard,” the New York Times reported this week, noting that one quarter of the top-selling titles on Amazon in 2012 were self-published.
Now, self-publishing even involves writers who would have no trouble finding a prestigious and established publishing house. One of these is playwright and author David Mamet, who intends to self-publish his next book. “I am going to promote the hell out of it,” he told the Times, “even though I’ll probably make my own mistakes.”
Peter Drucker considered publishing to be a strange beast. Unlike other industries, publishing allows for marginal players, and size isn’t even necessarily a great advantage. Sure, a publisher has to be of a certain scale in order to reach customers, but at the core of the business are editors with a circle of authors. “Beyond the minimum size the large publisher may even be penalized because larger size may make a publisher less attractive to . . . the author,” Drucker explained in Managing in Turbulent Times.
Illustration credit: Josh Bonner
Illustration credit: Josh Bonner
Drucker believed that electronic distribution would to some extent alter our habits of print consumption (and much else, as we explored here). “The new distribution channel will surely change the printed book,” Drucker asserted in Management Challenges for the 21st Century. “New distribution channels always do change what they distribute.”
But he also felt that new technologies often matter much less than the marketing that surrounds them. “There is a common belief . . . that it is new technology that creates sales and with them jobs and industries,” Drucker wrote in The Age of Discontinuity. “But new technology is only a potential. It is marketing, and especially innovative marketing, that converts the potential into actuality.”
So Mamet will have to follow through on his vow to promote the hell out of his book—and before that, of course, understand what his customer really values.
Do you think established authors are wise to venture into self-publishing?