The impact of AI on data management, particularly in the realm of biotechnology, is undeniable. It has fundamentally transformed how we approach and utilize vast amounts of data in this field. Joining me is Elisabeth Schwartz, the IT Head at Phathom, to explore the crucial task of preparing data for AI applications and the hurdles we face in ensuring its reliability.Elisabeth brings a wealth of firsthand experience to the table, having navigated the intricate intersection of data and AI in biotech. She offers practical advice that industry professionals can use to fine-tune their data for optimal AI utilization.So, don't miss out! Tune in, grab those industry insights, and let's stay ahead in the fast-evolving landscape of technology.Specifically, this episode highlights the following themes:Importance of data quality in AI applicationsChallenges faced by smaller companies in AI implementationThe testing process for AI systemsLinks from this episode:Get to know more about Steven Swan: https://www.linkedin.com/in/swangroupGet to know more about Elisabeth Schwartz: https://www.linkedin.com/in/elisabeth-schwartz-76198215Learn more about Phathom Pharmaceuticals: https://www.phathompharma.com

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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