In 2011, Jepardy champions Ken Jennings (left) and Brad Rutter (right)  competed with IBM's then new supercomputer named Watson and lost. (Photo: IBM)

In 2011, Jepardy champions Ken Jennings (left) and Brad Rutter (right) competed with IBM's then new supercomputer named Watson and lost. (Photo: IBM)

IBM’s Cognitive Computing System Watson Available As A Cloud Service

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IBM’s cognitive computing system Watson is now available as a cloud service.

Called Watson Discovery Advisor, the first Watson cloud service is for research teams needing to analyze large amounts of data to identify patterns and come up with research ideas. Watson enables researchers to accelerate the pace of scientific breakthroughs by discovering previously unknown connections in Big Data.

The move is a bid to commercialize Watson. Watson is famous for beating human contestants on Jeopardy three years ago. Since then, it has become smarter with a 2,400 percent improvement in performance, grown 24 times faster, and is 90 percent smaller – IBM has shrunk Watson from the size of a master bedroom to three stacked pizza boxes.

And this is just the beginning of its career in business and research applications. IBM says the next milestone in cognitive computing is accelerating scientific and industrial research. It’s a massive market, with the top 1,000 research and development companies spending more than $600 billion in 2013 according to Strategy&.

IBM’s Watson Discovery Advisor is designed to scale and accelerate discoveries by research teams. It reduces the time needed to test hypotheses and formulate conclusions that can advance their work.

Watson learns from data instead of being explicitly programmed to carry out instructions. It consists of a collection of algorithms and software running on IBM’s power line of servers. Building on Watson’s ability to understand nuances in natural language, the Watson Discovery Advisor service can understand the language of science, such as how chemical compounds interact.

“We’re entering an extraordinary age of data-driven discovery,” said Mike Rhodin, senior vice president, IBM Watson Group. “Today’s announcement is a natural extension of Watson’s cognitive computing capability. We’re empowering researchers with a powerful tool which will help increase the impact of investments organizations make in R&D, leading to significant breakthroughs.”

Researchers and scientists from leading academic, pharmaceutical and other commercial research centers are starting to deploy IBM’s new Watson Discovery Advisor to rapidly analyze and test hypotheses using data in millions of scientific papers available in public databases.

“On average, a scientist might read between one and five research papers on a good day,” said Dr. Olivier Lichtarge, the principal investigator and professor of molecular and human genetics, biochemistry and molecular biology at Baylor College of Medicine. “To put this in perspective with p53, there are over 70,000 papers published on this protein. Even if I’m reading five papers a day, it could take me nearly 38 years to completely understand all of the research already available today on this protein. Watson has demonstrated the potential to accelerate the rate and the quality of breakthrough discoveries.”

Watson has application in several domains. IBM provides a few potential areas where the service is applicable:

  • Accelerate a medical researcher’s ability to develop life-saving treatments for diseases by synthesizing evidence and removing reliance on serendipity
  • Enhance a financial analyst’s ability to provide proactive advice to clients
  • Improve a lawyer’s merger and acquisition strategy with faster, more comprehensive due diligence and document analysis
  • Accelerate a government analyst’s insight into security, intelligence, border protection and law enforcement and guidance, etc.
  • Create new food recipes. Chefs can use Watson to augment their creativity and expertise and help them discover recipes, learning about the language of cooking and food by reading recipes, statistical, molecular and food pairing theories, hedonic chemistry, as well as regional and cultural knowledge

 

About the Author

Jason Verge is an Editor/Industry Analyst on the Data Center Knowledge team with a strong background in the data center and Web hosting industries. In the past he’s covered all things Internet Infrastructure, including cloud (IaaS, PaaS and SaaS), mass market hosting, managed hosting, enterprise IT spending trends and M&A. He writes about a range of topics at DCK, with an emphasis on cloud hosting.

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