Genedata Webinar Week
November 17–20, 2025
Artificial intelligence (AI) is reshaping how biopharma organizations generate, analyze, and apply knowledge in R&D. In the third edition of Genedata Webinar Week, leading experts will share how embedding AI into scientific workflows is enabling faster discovery, deeper insights, and more reliable decision-making. Each session highlights practical examples of how biopharma teams are unlocking the full potential of their data, ensuring transparency and trust in AI-driven results, and driving innovation with the Genedata Biopharma Platform.
Data, Data in the Well: Who’s the FAIRest of them all? A Tale of In Vitro Characterization of Biologics Preparing for AI
Pieter Kennis, Senior Principal Scientist
November 17
Lessons Learned from a Global Genedata Deployment: Impact on Automation, Novel Modalities, and AI/ML
Kannan Sankar, Bioinformatics Scientist
November 18
Image Analysis with Machine Learning (AI) at Arvinas with Genedata Screener
Debra Nickischer, Senior IT Capability Manager-Biology
November 19
Accelerating Precision Medicine: Using AI Assistants in GxP Environments
Sven-Eric Schelhorn, Associate Director, Oncology Data Science
November 20
Highlights from the 1st Genedata Webinar Week
In the first Genedata Webinar Week in June 2025, global biopharma leaders — Merck, Novartis, Pfizer, and Sanofi — shared how digital transformation is accelerating biopharma innovation.
Watch the June 2025 Sessions on DemandHighlights from the 2nd Genedata Webinar Week
In the second Genedata Webinar Week in September 2025, global biopharma leaders — Bristol Myers Squibb, Pfizer, Sanofi, and Merck — shared how automation is accelerating biopharma innovation.
Watch the September 2025 Sessions on DemandDiscover the Genedata Biopharma Platform
Genedata provides first-in-class enterprise software that automates and digitalizes research, development, and manufacturing for biopharma R&D. The Genedata Biopharma Platform supports end-to-end workflows — from screening and engineering to purification, analysis, and beyond. The platform integrates specialized solutions for cell line development, upstream and downstream bioprocessing, MS- and NGS-based quality control, and translational research. By harmonizing data across instruments, teams, and sites, this unified solution ensures data integrity, enables AI/ML applications, and supports regulatory compliance — accelerating innovation from early discovery through clinical development.