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Explainable and generative AI for actionable insights

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If you have a question about this talk, please contact James Fergusson .

Making informed decisions is crucial for life science companies, but most companies today still rely on manual data analysis to drive decisions and struggle to use their data set effectively. OKRA .ai applies AI systems (ML) to analyse medical text data finding valuable insights and identifying sentiment and trends. In this seminar, we will explain how we use explainability and generative language models to make our insights trustworthy, reliable, accessible and concise. We will also show how these models can help users reason about their data and explore different scenarios.

This talk is part of the Data Intensive Science Seminar Series series.

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Trinity College Cambridge Senior Parlour, Gonville & Caius College Keynes Hall Lecture Theatre, King's College

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