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IBM Watson ushers in a new era of data-driven discoveries

Next milestone in Cognitive Computing is accelerating scientific and industrial research

IBM Watson ushers in a new era of data-driven discoveries
Rhodin: "We're entering an extraordinary age of data-driven discovery."

IBM has announced significant advances in Watson's cognitive computing capabilities that are enabling researchers to accelerate the pace of scientific breakthroughs by discovering previously unknown connections in Big Data.Available now as a cloud service, 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, from months to days and days to hours."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 organisations make in R&D, leading to significant breakthroughs."Watson Discovery Advisor can understand the language of science, such as how chemical compounds interact and according to IBM, has the potential to transform industries and professions that rely heavily on data, including law, pharmaceuticals, biotech, education, chemicals, metals, scientific research, engineering, and criminal investigations.Watson could be used to: Accelerate a medical researcher's ability to develop life-saving treatments for diseases; 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; and create new food recipes for Chefs by helping them discover recipes, learn 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.

 

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