Pharma and biotech companies must produce safe, efficacious medicines more efficiently than ever to optimize time-to-market and competitiveness. Both public and proprietary data hold valuable insights for impactful decision making. Data integration and common ontologies are needed if organizations are to tap the potential of this data by leveraging, machine learning (ML) and Artificial Intelligence (AI). In addition, companies need flexible workflows that support ad-hoc analytics, integrate internal and external data, and democratize the high-value models generated by their data science teams.

In this panel Case studies from Pfizer and Denovicon Theraputics will be followed by a discussion, with Dassault Systemes, on possible strategies to make this transformation and accelerate Drug Discovery.
Thursday November 5, 2020, starting at 3:00 PM GMT
Peter Henstock
ML and AI Technical Lead, Pfizer
Scott Bembenek
Founder and CEO Denovicon Therapeutics
Leo Bleicher
BIOVIA R&D Director Life Sciences Dassault Systèmes
Zahid Tharia
Director, Open Pharma Research
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