Galt Global Review

QFS 360

      
November 18, 2003
new technology
AI lives on
Samuel Greengard

Not just another HAL  |  AI goes to work  |  Getting smart with AI

For years, the idea of artificial intelligence has enamored writers, researchers and business leaders. Now it’s becoming reality—and changing the workplace.

Not just another HAL
In the 1968 film, 2001: a Space Odyssey, a devious, malfunctioning computer named HAL used its sophisticated capabilities to wreak havoc on a mission to Jupiter. HAL could think, talk and make decisions that closely paralleled the human mind. The futuristic story—set in a period that preceded personal computers and the Internet—captured the public imagination. Scientists, computer programmers and the public began to speculate on the future of artificial intelligence (AI).

That excitement built to a crescendo in the 1980s, when some futurists predicted that computers would assume many human functions and replace people for many tasks. While today’s factories often rely on smart robots to manage the assembly line and computers help make decisions for fast food chains, traffic engineers and the military, the buzz over AI has clearly subsided. Not until Steven Spielberg’s 2001 film A.I. did the public once again begin to ponder the possibilities of a smarter computer.

Nevertheless, artificial intelligence—typically defined as the ability of a computer to duplicate or amplify human thought—has become a reality. Computers are pushing the boundaries of cognition to new limits and extending and augmenting human capabilities in ways that wouldn’t have been imaginable to our parents and grandparents. Computers can monitor how we work and adapt to our needs and preferences. They can monitor road conditions and adjust settings on a vehicle to promote safer driving. And, in some cases, researchers have developed robotic interfaces that mimic human emotions and can interact with people with a sense of realism.

AI goes to work
One thing that makes AI so difficult is that it not only requires millions of data elements, it must incorporate abstract concepts, including common sense, assumptions and so called “fuzzy logic.” For example, a human knows that it’s necessary to hold a tea cup with the open end up and with fingers on the handle in order to avoid a burn—but a computer doesn’t. What’s more, it does not understand what a burn is and what it feels like. For the last quarter century, researchers have worked to embed such knowledge into programs and computers. It’s a task that has taken tens of thousands of person years.

Bridging the gap between research and reality has been at the forefront of the AI movement. Today, there’s a growing attempt to embed AI into information systems and solve real-world business problems. Although the technology isn’t ready for prime time in certain situations and it’s not suitable for all businesses, it’s increasingly clear that artificial intelligence is opening the door to new capabilities…and opportunities.

According to consulting firm McKinsey & Company, “the AI-development community has generated techniques that are beginning to show promise for real business applications. Like any information system, AI systems become interesting to business only when they can perform necessary tasks more efficiently or more accurately or exploit hitherto untapped opportunities.” The advent of the Web, it notes, makes it possible to collect and distribute massive amounts of data.

In some cases, businesses are now turning to AI to manage large and complex data sets. In certain instances, according to McKinsey, they’re looking for patterns and rules in vast numerical data sets. This is a particularly common approach for spotting patterns, such as the detection of fraud, where heavy number crunching is required to distinguish among different sets of items.

Another area of growing interest is rules-based decision systems, which incorporate vast data sets and complex variables to identify potential problems for everything from high-risk deliveries to fleet management. These systems incorporate complex checklists. The computer weighs dozens—sometimes hundreds—of variables to come up with a solution that provides positive results.

Finally, there are autonomous execution systems, a.k.a. “smart agents” or “bots” that run continuously within a system, monitoring information as it arrives and acting on a set of predetermined variables. Bots are ideal for situations where a specific response is required for a task. It’s especially useful where there is shared data that’s available in a common standard, such as XML.

For example, a company might set a financial system to monitor invoices that arrive electronically and find those that are missing a data element or fall outside an accepted range. A bot might also notify the sender that the invoice needs updating before the recipient can order payment. Such a system automates an entire process that would have previously taken place manually and required human intervention. Other common uses for bots include sorting e-mail and checking product pricing on the Internet.

Getting Smart with AI
At present, one of the problems with artificial intelligence is that it’s a broad term that can mean a lot of different things to different people…and businesses. In some situations, it’s too powerful and costly to implement, while in other instances it’s not sophisticated enough to solve complex problems. Nevertheless, AI tools that exist have matured over the last two decades to the point where many offer real-world advantages. Bots, for example, are a common tool used to facilitate workflow within organizations and monitor the Web for specific information or conditions.

Organizations can put artificial intelligence to work today—despite the fact that it will become far more powerful and commonplace tomorrow. Researchers are working on myriad applications that more closely mirror human thinking and actions. In the future, many of these AI apps will automate and streamline the workplace immeasurably.

While the fervor and buzz over artificial intelligence has subsided, it’s no longer the far-fetched stuff of sci-fi films. These days, it’s fast becoming part of our workplace and our world.

Reproduced with permission © 2003 Samuel Greengard. To enquire, please email sam@greengard.com