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Online Panel

  • Date: 29-02-2024
  • Time: 10:00 EST | 16:00 CET
  • Duration: 1h
  • Cost: Free

Perspectives on AI, LLMs, and semantic technologies in the life sciences industry

Join us for an online panel discussion that will explore the current state of adoption of innovative tools, such as AI, LLMs, and semantic technologies that advance research and drug discovery in the life sciences domain. Learn how industry leaders and visionaries are leveraging these technologies to navigate the complexities of biological data and drive innovation. Hear firsthand from experts representing pharmaceutical companies, research institutions, and technology providers as they share their visions for the future. 

Perspectives on AI, LLMs, and semantic technologies in the life sciences industry group

Why should you join? 


  • Engage in dynamic discussions with a panel of experts covering key themes, such as AI adoption, LLMs, technological use cases, and more. 
  • Explore real-world applications through best practices as shared by industry leaders. 
  • Interactive Q&A: interact directly with speakers for optimal engagement and knowledge sharing. 

Fill the form to register

Moderator and panelists

Alan Morrison &  ONTOFORCE

Alan Morrison

Moderator
Writer and podcaster focused on knowledge graphs and other emerging technologies, featured in Data Science Central, The FAIR Data Forecast podcast, and more

VALERIE MOREL CEO   ONTOFORCE

Valerie Morel

Panelist

Chief Executive Officer

ONTOFORCE 

Bhavish Madurai, AI & Data Managing Director – Life Sciences at Deloitte &  ONTOFORCE

Bhavish Madurai

Panelist
AI & Data Managing Director,

Life Sciences

 DELOITTE

Jeremy Forman Life Sciences Data & AI Leader SEagen &  ONTOFORCE

Jeremy Forman

Panelist
Executive Director Data Strategy,

Science, & Platforms
PFIZER

Who should join

Senior profiles in research and IT, along with others that are interested in advancing data, AI, and new technologies in life sciences organizations. 


  • Data scientists
  • Data managers
  • VP data and AI
  • Scientific researchers
  • Heads of research & development 
  • Director data strategy & governance
  • Bioinformaticians
  • Director data science
  • Industry leaders and decision-makers