Skip to Content

EmTech: IBM Tries to Make Watson Smarter

IBM executive says Watson could find success with commercial apps in wealth management, call centers, and medicine.
September 24, 2014

Three years after its artificial-intelligence engine Watson made its high-profile win on Jeopardy!, IBM is adapting the technology as it seeks practical commercial uses, an IBM executive explained yesterday at EmTech, a conference organized by MIT Technology Review.

Michael Rhodin speaks with MIT Technology Review’s editor in chief Jason Pontin yesterday at EmTech.

The original version of Watson was built around a question-and-answer format optimized for the game show, but that turned out to be “just the first building block” in an emerging artificial-intelligence system, said Mike Rhodin, senior vice president of the IBM Watson Group.

Rhodin said IBM is refining Watson to make it more adept at providing the correct answer to a specific question in a specific domain—for example, by learning from previous queries. “Just as [computer operating system] platforms emerged in the 1960s, we are seeing the beginnings of that kind of a system emerge in the information age,” he said.

In the past year, despite skepticism in some quarters, the company has announced it was making more investments in the Watson platform (see “Facing Doubters, IBM Expands Plans for Watson”). It has also opened the platform to app developers (see “Trained on Jeopardy!, Watson Is Headed for Your Pocket”).

Some results of that strategy are now emerging. In one recent competition run by IBM, a startup called Majestyk came up with an app that added Watson functionality to a stuffed animal so that it could converse with a child and give feedback to educators—potentially revealing whether the child might have learning disabilities.

“We never would have thought of it; we don’t have that DNA,” he said. “It validated the idea that we needed to open up the platform and make it available to the startup marketplace.”

Ultimately, Rhodin said, IBM will pursue a revenue-sharing model for any effort that reaches market.

The company also continues to pursue applications in the medical, financial, and legal sectors. Using Watson to examine thousands of documents could, for example, help doctors see different diagnoses in order of probability and “rule out things they didn’t think of,” Rhodin said.

IBM has also been working with USAA, a company that provides financial services to U.S. military personnel. The Watson engine analyzes more than 3,000 USAA documents about financial or health-care benefits and answers questions from USAA users.

At the EmTech conference, a questioner from USAA pointed out that the system was having some trouble, in part because it would not allow users to ask follow-up questions. Each request was treated as a standalone problem, making Watson awkward to use at times. Rhodin said he would meet with USAA later this week.

Even with such stumbles, IBM has high hopes for getting Watson to work well in medical settings (see “Watson Goes to Work in the Hospital”). And Rhodin said significant effort is now being expended on applying the technology to automated call centers. 

Keep Reading

Most Popular

light and shadow on floor
light and shadow on floor

How Facebook and Google fund global misinformation

The tech giants are paying millions of dollars to the operators of clickbait pages, bankrolling the deterioration of information ecosystems around the world.

This new startup has built a record-breaking 256-qubit quantum computer

QuEra Computing, launched by physicists at Harvard and MIT, is trying a different quantum approach to tackle impossibly hard computational tasks.

wet market selling fish
wet market selling fish

This scientist now believes covid started in Wuhan’s wet market. Here’s why.

How a veteran virologist found fresh evidence to back up the theory that covid jumped from animals to humans in a notorious Chinese market—rather than emerged from a lab leak.

protein structures
protein structures

DeepMind says it will release the structure of every protein known to science

The company has already used its protein-folding AI, AlphaFold, to generate structures for the human proteome, as well as yeast, fruit flies, mice, and more.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.