Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Cognitive computing: From theory to ubiquity

Tim Estes (Digital Reasoning)
4:35pm–5:15pm Thursday, 10/01/2015
Sponsored
Location: 1 E6 / 1 E7
Average rating: ****.
(4.67, 3 ratings)

Cognitive computing has made the transition from a theoretical technology into one that is having a transformative impact on business and our daily lives. In this session, Tim Estes, CEO and founder of Digital Reasoning, will explore how key enabling technologies, such as artificial intelligence and natural language processing, have made this possible. He will go on to describe how public and private organizations are applying cognitive computing to uncover hidden insights, fight human trafficking, and discover financial and medical risks concealed within big data. Tim will reveal the latest research from Digital Reasoning that is pushing the boundaries of language understanding through Deep Learning before concluding with a look at cognitive computing solutions that are on the horizon. Discover which capabilities will be imperative for companies to survive and thrive in a data-driven future where cognitive computing will be ubiquitous. You can meet the Digital Reasoning team and see Synthesys in action at booth #665 in the Exhibit Hall.

This session is sponsored by Digital Reasoning

Photo of Tim Estes

Tim Estes

Digital Reasoning

Tim Estes is the chairman, CEO, and founder of Digital Reasoning. Tim’s academic work at the University of Virginia focused in the areas of philosophy of language, mathematical logic, semiotics, epistemology, and phenomenology. It was that eclectic academic background, coupled with the belief that in the future all software would learn from data as a core capability, that gave rise to Digital Reasoning. Tim and his team work closely with leaders in government and industry to solve extraordinarily valuable and morally compelling problems in National Security, Finance, Legal, and Health Care by automating the understanding of unstructured data.