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E310 – Shubh Sinha, CEO, Integral
In this episode of The Data Diva Talks Privacy, Debbie Reynolds, the Data Diva speaks with Shubh Sinha, CEO of Integral, about the growing importance of private and proprietary data in AI, de-identification, data quality, and why privacy should be built into data use from the beginning rather than addressed at the end.
Drawing on his experience building analytics environments with highly sensitive, regulated data, Shubh explains how Integral evolved from healthcare de-identification into what the company describes as an independent privacy layer for AI. Debbie and Shubh discuss the challenge of preserving valuable signals in data while meeting regulatory and contractual obligations, the increasing risks of combining data sets, and why data lineage becomes more complicated as data moves between organizations and systems.
The conversation also explores how the AI era is changing the value of enterprise data. As AI models become more capable, organizations increasingly want to use proprietary information to generate better insights and business outcomes. Debbie and Shubh discuss why data quality, purpose, privacy, and governance become even more important in that environment and why proactive privacy can help organizations innovate more effectively.
By popular demand, Debbie Reynolds Consulting is now offering executive briefings on emerging data privacy risks and how companies can avoid them. To learn more, visit the Executive briefings page on my website.
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