Showing posts with label Computers. Show all posts
Showing posts with label Computers. Show all posts

February 11, 2011

Machine, Checkmate.

It’s the eternal battle of Man vs. Machine—our biggest fear and greatest hope—which is ultimately superior?

On one hand, we are afraid of being overtaken by the very technology we build, and simultaneously, we are hopeful at what ailments technology can cure and what it can help us achieve.

In spite of our hopes and fears, the overarching question is can we construct computers that will in fact surpass our own distinct human capabilities?

This week IBM’s Supercomputer Watson will face off against two of the all-time-greatest players, Ken Jennings and Brad Rutter in a game of Jeopardy—at stake is $1.5 million in prize money.

Will we see a repeat of technology defeating humankind as happened in 1997, when IBM’s Supercomputer at the time, Deep Blue, beat Garry Kasparov, world-champion, in chess?

While losing some games—whether chess or Jeopardy—is perhaps disheartening to people and their mental acuity; does it really take away from who we are as human beings and what makes us “special” and not mere machines?

For decades, a machine’s ability to act “more human” than a person has been testing the ever-thinning divide between man and machine.

An article in The Atlantic (March 2011) called Mind vs. Machine exposes the race to build computers that can think and communicate like people.

The goal is to use artificial intelligence in machines to rival real intelligence in humans and to fool a panel of judges at the annual meeting for the Loebner Prize and pass the Turing test.

Alan Turing in his 1950’s paper “Computing Machinery and Intelligence” asked whether machines can think? He posited that if a judge could not tell machine from human in text-only communication (to mask the difference in sounds being machines and humans), then the machine was said to win!

Turing predicted that by the year 2000, computers would be able to fool 30% of human judges after five minutes of conversations.” While this has not happened, it has come close (missing by only one deception) in 2008 with an AI program called Elbot.

Frankly, it is hard for me to really imagine computers that can talk with feelings and expressiveness—based on memories, tragedies, victories, hopes, and fears—the way people do.

Nevertheless, computer programs going back to the Eliza program in 1964 have proven very sophisticated and adept as passing for human, so much so that “The Journal of Nervous and Mental Disease" in 1966 said of Eliza that: “several hundred patients an hour could be handled by a computer system designed for this purpose.” Imagine that a computer was proposed functioning as a psychotherapist already 45 years ago!

I understand that Ray Kurzweil has put his money on IBM’s Watson for the Jeopardy match this week, and that certainly is in alignment with his vision of “The Singularity” where machines overtake humans in an exponentially accelerating advancement of technology toward “massive ultra-intelligence.”

Regardless of who wins Jeopardy this week—man or machine—and when computers finally achieve the breakthrough Turing test, I still see humans as distinct from machines, not in their intellectual or physical capabilities, but ultimately in the moral (or some would call it religious) conscience that we carry in each one of us. This is our ability to choose right from wrong—and sometimes to choose poorly.

I remember learning in Jewish Day School (“Yeshiva”) that humans are a combination—half “animal” and half “soul”. The animal part of us lusts after all the is pleasurable, at virtually any cost, but the soul part of us is the spark of the divine that enables us to choose to be more—to do what’s right, despite our animal cravings.

I don’t know of any computer, super or not, that can struggle between pleasure and pain and right and wrong, and seek to grow beyond it’s own mere mortality through conscious acts of selflessness and self-sacrifice.

Even though in our “daily grind,” people may tend to act as automatons, going through the day-to-day motions virtually by rote, it is important to rise above the machine aspect of our lives, take the “bigger picture” view and move our lives towards some goals and objectives that we can ultimately be proud of.

When we look back on our lives, it’s not how successful we became, how much money and material “things” we accumulated—these are the computerized aspects of our lives that we sport. Rather, it’s the good we do for our others that will stay behind long after we are gone. So whether the computer has a bigger database, faster processor, and better analytics—good for it—in the end, it has nothing on us humans.

Man or machine—I say machine, checkmate!


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September 3, 2010

What's In An IT Acronym

In the military and public safety world, information technology is often discussed in broader strategic and operational terms.

For example, in the Coast Guard, it is referred to as C4&IT--Command, Control, Communication, Computers and Information Technology.

In the Department of Defense, they often use the term C4ISR--Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance.

According to GovTech Magazine, some public safety agencies (i.e. law enforcement and firefighting) often use another version of this, namely 4CI--Command, Control, Communications, Computers, and Intelligence.

The article provides some simple straightforward definitions for these (although perhaps skewed for first responders), as follows:

"- Command: The authority and responsibility for effectively using available resources, and for organizing, directing, coordinating and controlling personnel and equipment to fulfill a mission.

- Control: The ability to issue orders or directions, with the result that those directions are carried out.

- Communications: The most essential element. Communications between responders on the ground and command staff are critical to ensure that both groups have a common operating picture of the situation.

- Computers: They process, display and transport information needed by commanders, analysts and responders. Today this increasingly includes mobile devices, such as laptops and smartphones.

- Intelligence: The product of the collection, processing, integration, analysis, evaluation and interpretation of all available relevant information."

While these capabilities are all critical to mission performance, I am not sure why we have all these variations on the same theme, but at least, we all agree on the 4Cs or is it C4?


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September 27, 2008

Intel is King of Change and Enterprise Architecture

Intel is one of the most amazing companies. They are the world’s largest semiconductor company, and the inventor of the popular x86 microprocessor series found in most PCs. Intel has around $40 billion in annual revenue, and ranked 62 in the Fortune 500 last year.

The Wall Street Journal 27-28 September 2008 has an interview with CEO of Intel, Paul Ostellini, that offers some useful lessons for enterprise architects:

  • Plan for change—“A CEO’s main job, because you have access to all of the information, is to see the need to change before anyone else does.” It’s great when the CEO has access to the information for seeing ahead and around the curves, but many do not. Information is critical and leaders need plenty of it to keep from steering the enterprise off a cliff. An important role of enterprise architects is provide business and technical information to the CEO and other executives to give them clear vision to the changes needed to grow and safeguard the business. (Perhaps better information would have prevented or reduced the damage to so many companies in dot-com bubble a few years ago and the financial crisis afflicting Wall Street today!)
  • Question repeatedly—a prior CEO of Intel, Andrew Grove, taught him “Ask why, and ask it again five more times, until all of the artifice is stripped away and you end up with the intellectually honest answer.” It easy to accept things on face value or to make snap judgments, but to really understand an issue, you need to get below the surface, and the way you do this is to question and dig deeper. I think this is critical for enterprise architects who are evaluating business and technology and providing recommendations to the business that can potentially make or break change efficacy. Architects should not just capture information to plunk into the architecture repository, but should question what they are seeing and hearing about the business, validate it, categorize it, and analyze it, to add value to it before serving that information up to decision makers.
  • Measure Performance—“we systematically measured the performance of every part of the company to determine what was world class and what wasn’t. Then as analytically as possible, --we made the cuts…and saved $3 billion in overall spending.” Measuring performance is the only way to effectively manage performance. If decisions are to be anything more than gut and intuition, they need to be based on quantifiable measures and not just subjective management whim. Enterprise architects need to be proponents for enterprise-wide performance measurement. And not just at the top level either. Performance measures need to be implemented throughout the enterprise (vertically and horizontally) and dashboard views need to be provided to executives to make the measures visible and actionable.
  • Communicate, communicate—“I made it my job to communicate, communicate, communicate the positive message. I did open forums, I did Webcasts, I told the employees to send me questions via email and I’d answer them...you have to convince them through reasoning and logic, the accuracy of your claims.” Good communication is one of those areas that are often overlooked and underappreciated. Leadership often just assumes that people will follow because they are “the leaders”. NOPE! People are not sheep. They will not follow just because. People are intelligent and want to be respected and explained to why….communication early and often is the key. The approach to architecture that I espouse, User-centric EA, focuses on the users and effectively communicating with them—each the way they need to absorb the information and at the level that is actionable to them. Making architecture information easy to understand and readily available is essential to help make it valuable and actionable to the users. User-centric EA uses principles of communication and design to do this.
Intel, in its 40 year history, has repeatedly planned for change, measured it, and managed it successfully. Intel’s CEO, Gordon Moore, is the epitome of driving change. Moore, the founder of Moore’s Law, captured the exponential change/improvement in silicon chip performance—identifying that the number of transistors packed on silicon chip would double every two years. Intel’s subsequent obsession with Moore’s Law has kept them as the dominant player in computer processors and may lead them to dominance in cell phones and other mobile devices as well.
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May 30, 2008

Design and Enterprise Architecture

Design, style, and innovation are important communication mechanisms and are crucial to User-centric EA. These communication mechanisms are used in information visualization and is heavily used in EA to develop useful and usable information products that can be easily understood and applied.

Increasingly, design is taking center-stage across technical and everyday products in our economy.

The Wall Street Journal, 4 January 2008, reports in no less than three separate articles on the importance of design and style for everyday products from computers to hard drives and even storage containers.

Here are some examples from a front page article titled, “PCs Take a Stylish Turn in Bid to Rival Apple”:

  • “Dell is trying to inject a sense of style into the company’s PCs, with new shapes, sizes, and color.”
  • PC Makers are “racing to replace boring boxes with sexy silhouettes that will differentiate their products, entice new buyers, and command higher prices.”
  • Forrester Research “issued a report last June heralding a new ‘age of style’ in the PC market. It concluded that more attractive models could command $150 to $200 more.”
  • “During most of the industry’s 30-year history, PC makers didn’t worry much about style. A bigger challenge was boosting technical performance and wringing costs from suppliers.” Now an Intel anthropologist states “there is a sense of, ‘Oh my G-d, why does this have to be so ugly?’”
  • Lenovo stated that now “designers have equal weight at the table.”
  • Dell has gone from 6 designers in 2001 to 90 designers now and they are still recruiting.
  • At the upcoming Consumer Electronics Show, Microsoft will hold a PC ‘fashion show’ with judges picking the top three designs.

Additional articles the same day point to the importance of design and style. For example, the article “Can a Hard Drive Make a Fashion Statement” states that Seagate “kicked off a new strategy at the 2007 Consumer Electronics Show, offering drives with sleek shapes and lights to woo users accustomed to iPod-like elegance.” And in another article titled, “The Struggle to Contain Ourselves,” about the briskly growing $6 billion storage and organization industry where “style is increasingly important” and “once just plastic bins in industrial blue or clear, specialized storage products are now available for most conceivable uses in an array of material, from bamboo to faux leather to sea grass.”

While certainly consumer products are different than information products provided by EA, there is clear understanding now that design, fashion, style, and innovation are critical in reaching out to people, getting them interested in your products (consumer or information), and that design demands a premium in the marketplace. As the Intel anthropologist stated “why does this have to be so ugly?” Similarly, I would ask why do traditional EA products have to so often be so ugly, difficult to understand and apply. Let’s transition the way we do architecture to User-centric EA and design innovative information products that capture our users’ attention, really “talk to them,” clearly identify problem areas, propose alternative solutions, and lead to better decision making. Our executives are busy people with challenging jobs. We owe it to them to provide information in User-centric EA ways.


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