The Case for Cognitive Computing

The confluence of big data techniques, NLP, cloud computing have propelled the rising interest in cognitive computing. Beyond they hype, though, is both a promise and a complexity that are poorly understood. This session will define cognitive computing, examine the system components that cognitive systems have in common and their major information handling and interaction processes—problem definition, data ingestion, context filtering and data exploration. The presentation gives examples of the types of problems that cognitive systems address. It ends by discussing the issues of market disruption, security and privacy, and trust that this new era in computing will undoubtedly raise.

Attendees will learn:

What cognitive computing is and what are its constituent technologies
Which problems are most conducive to a cognitive systems approach
Why cognitive computing will be the next computing era, and what its impact will be on traditional computing systems

Sue Feldman is CEO of Synthexis, a business consultancy in cognitive computing, search and text analytics. She co-founded the Cognitive Computing Consortium in 2014. She speaks frequently at industry events on topics such as cognitive computing, computing trends, NLP, conversational systems, big data technologies, and the hidden costs of information work. Before founding Synthexis, Sue was VP for Search and Discovery Technologies at IDC where she specialized in research on technologies for managing, retrieving and analyzing unstructured data. Prior to IDC, Sue headed Datasearch, an independent technology advisory firm, where she consulted on usability and on information retrieval technologies. She has won numerous research and writing awards. She is a founder and former president of AIIP, and a member of the Association for Computing Machinery.