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SUMMARY:Explainable and generative AI for actionable insights - Alessio Ca
 ciagli - OKRA / Lars Henklemann - CDT
DTSTART:20230608T120000Z
DTEND:20230608T143000Z
UID:TALK192923@talks.cam.ac.uk
CONTACT:James Fergusson
DESCRIPTION:Making informed decisions is crucial for life science companie
 s\, but most companies today still rely on manual data analysis to drive d
 ecisions and struggle to use their data set effectively. OKRA.ai applies A
 I 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 tr
 ustworthy\, reliable\, accessible and concise. We will also show how these
  models can help users reason about their data and explore different scena
 rios.
LOCATION:Kavli Large Meeting Room\, Kavli Building
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