Building AI-Ready Foundations

for Drug Discovery 

Webinar | On-demand

Breaking down data silos  

Learn how disconnected systems and inconsistent data practices quietly stall promising AI initiatives before they ever reach the lab.

Building an AI-ready foundation

Discover why data governance, semantic structure, and consistent annotation matter as much as model sophistication itself.

Earning trust in AI outputs

See what actually separates teams that scale AI successfully from those stuck piloting the same use case for years on end.

Scaling from pilot to enterprise

Understand how research organizations align technical, business, and governance teams to greenlight AI investment at scale.

What's Inside:

Pharma and biotech leaders are racing to scale AI across drug discovery, but without a trusted, unified data foundation, even the most promising models stall before reaching the lab. 

Drug discovery organizations are under mounting pressure to turn early AI pilots into enterprise-wide impact. Research data lives scattered across disconnected systems, siloed by team, geography, and stage of the pipeline, and the pace of expectation keeps rising every quarter.

Even well-resourced teams struggle to close this gap. Data is rarely structured, annotated, or governed consistently enough for AI systems and the people who rely on them to trust, leaving leadership hesitant to greenlight scaling decisions industry-wide.

This on-demand webinar brings together data science leaders from Novartis and a leading drug discovery data platform to unpack what building a genuinely AI-ready data foundation requires, and how R&D leaders can move from isolated pilot wins to organization-wide adoption.

This webinar gives drug discovery and R&D leaders a practical, research-grounded view of what it takes to scale AI responsibly.

Featuring:  

Xiong Liu, Director Data Science and Al, Novartis 

Mitchell Buckley, Application Scientist, CDD Vault 

Hosted by Yolandi de Weerdt, Analyst - Enterprise Al Impact, Emerj


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Building AI-Ready Foundations for Drug Discovery

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