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Webinar panel

Beyond the AI models: What it really takes to deploy AI for drug discovery

Everyone talks about the models. Almost no one talks about the infrastructure, data, workflows, and organizational alignment required to make AI actually work in biologics R&D.

This webinar panel is part of the Front Line Genomics series Transforming Drug Discovery with AI: From Models to Mechanisms to Scalable Impact. The session brings together experts from Genmab, Takeda, and ENPICOM to outline what it truly takes to operationalize AI-from high-performance data foundations to cross-functional adoption.

Discussion topics:

  • How to build the data foundations, pipelines, and governance needed to make AI usable and scalable in biologics discovery and engineering
  • How to navigate the tension between leadership ambitions and scientific or engineering constraints
  • Practical strategies to bridge gaps between technical, operational, and executive teams when deploying AI
  • The importance of data homogenization and the standardization of data analysis pipelines

Meet the panelists:

joe_genmab

Joe Szustakowski

VP, Clinical Development and Data Science, Genmab

marcin_takeda

Marcin von Grotthuss

Director, Head of AI/ML Enablement and Modeling, Takeda

nicola

Nicola Bonzanni

Founder and CEO, ENPICOM

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