David Reibstein, Ph.D.
Professor of Marketing, The Wharton School, University of Pennsylvania
Erik Brynjolfsson, Ph.D.
Professor of Information Technology, and Director, MIT Center for Digital Business, MIT Sloan School of Management
Charles Doyle, Ph.D.
Chief Marketing Officer, JLL
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Watson Natural Language Processing
Automatically link words to the user's meaning and intent and correlate with other sources of data to put interactions into context of specific solutions.
Watson Machine Learning
Automate data processing and rank data based on learned priorities. Machine Learning can be applied to IoT data to automatically understand current conditions, expected trends and suggested actions when issues arise.
Watson Video and Image Analytics
Monitor unstructured data from video feeds and image snapshots to identify scenes and patterns in video data. Apps can combine this data with machine data to gain a greater understanding of past events and emerging situations.
Watson Text Analytics
Mine unstructured textual data, including transcripts from call centers, technician maintenance logs and blog comments to find correlations and patterns in the vast amounts of data from these sources.