Join our on-demand webinar featuring theÌýHead of Pharmacology & Safety IT at Bayer AG, and theÌýDirector of Data Science & Machine Learning at Pfizer, alongsideÌýexperts at ÷ÈÓ°Ö±²¥, as they delve into the AI-powered R&D Research Assistant — a specialized methodology leveraging data and AI for knowledge management.
Ìý
Discover how the Research Assistant operates within their organizations, the problems it addresses, the challenges encountered, the opportunities it created, and the valuable insights gained through user adoption.
Ìý
Outcomes from the webinar
Gain a clear understanding of the challenges and opportunities in optimizing knowledge retrieval, interpretation, and creation. Ìý
Discover the technology and methodology behind the R&D Research Assistant. Explore real-world implementations across various clients.Ìý
Visualize how the Research Assistant could be applied in your environment.
Meet your speakers

Nimisha Asthagiri
Head of AI and Analytics, ÷ÈÓ°Ö±²¥ North America

Sarang Kulkarni
Tech Principal and Lead Consultant, ÷ÈÓ°Ö±²¥ Europe

Jonas Münch
Head of Pharmacology & Safety IT, Bayer AG

Kate Ostbye
Director of Data Science & Machine Learning, Pfizer
You may also be interested in...
-
E-BookThe AI research assistant – A ÷ÈÓ°Ö±²¥ methodology for accelerating healthcare and life sciences R&DGet your free copy
-
WebinarInnovating Patient 360: The Power of Data Products in Shaping Next-Generation HealthcareWatch the webinar
-
ArticleBayer scientists optimize decision processes in preclinical drug developmentLearn more