Abstract: Untapped textual data is considered by many businesses to be a gold mine of intelligence waiting to be discovered. Kensho NERD (Named Entity Recognition and Disambiguation), a cutting-edge machine learning system, unlocks the full potential of textual data by linking it to existing sources of structured knowledge.
This talk will review relevant use cases leveraging Kensho NERD to uncover the companies, subsidiaries, and other organizations appearing in textual data to power smart search, supercharge research workflows, and more. By linking to broad knowledge bases with tens of millions of entities, you’ll see first-hand how you can differentiate your organization with data and machine learning.
Bio: Phil Taylor is the Product Manager for Kensho NERD (Named Entity Recognition and Disambiguation). Prior to joining Kensho, Phil worked at IBM as a product manager for their data and AI SaaS platform and as a strategy and operations consultant. He earned his MBA from MIT Sloan in 2019 and previously worked as a consultant at firms such as Charles River Associates.