Val Bercovici, Founder and CEO of PencilDATA, explains that before companies train AI software using the data they’ve collected, they have to be certain that the data is authentic, that it has been cleansed, that the people behind the datapoints have been honest in their answers. Coupled with the challenge of accessing the really interesting data that will add insights to your generically trained data models which is almost always behind firewalls, Val explains that data responsibility is the crucial concept needed to make insightful data available to AI modeling while continuing to provide the maximum protection to that information.

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2 comments on"Val Bercovici: Balancing protection and data access for AI modeling"

  1. Great talk about data provenance and data responsibility! Interesting to hear the discussion and thoughts between the spectrum of a large company who’s been a “long time in business” vs a small company who’s the “new kid on the block.”

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