Summary
Artificial intelligence presents immense promise for enhancing drug discovery and development. However, concerns around data quality, IT infrastructure, and security all stand in the way of successful implementation.
In the first installment of our AI series, experts from Cetara.AI will share insights from our decade plus experience deploying life science specialized AI applications and the role data fabrics play in providing the foundation of successful AI programs.
Core topics to be covered, include:
- Data setbacks that ultimately impact AI quality
- Setting your AI environment up for success
- Thinking strategically around AI models and which are most effective to your use case
This webinar is ideal for pharmaceutical and biotech leaders keen to stay ahead with innovative AI applications in their organizations. With real-world applications and expert insights, this webinar will provide the tools you need to harness AI for innovation and competitive advantage in drug development.
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Director of Product, Certara
Sean McGee is currently the Director of Product at Certara, working within the Certara artificial intelligence (AI) group. Throughout his career, Mr. McGee has supported the strategy and go-to-market motions of various software technologies, including Benchling’s laboratory informatics platform and the AI and molecular modeling and simulation offerings for Dassault Systèmes BIOVIA brand. In his role with Certara, Mr. McGee guides the development of new AI-focused use cases which maximize the benefits of the Certara AI and broader company portfolio.
Mr. McGee completed his Master of Science at the University of Notre Dame exploring the scientific and commercial applications of medical devices designed to aid in the identification of child abuse.
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