Engage on Hot Topics:
Main Summit Sessions
Virtual Sprints: 11/9, 11/10 & 11/12/2021
MHRA, Health Canada and FDA will share how they are leading through AI challenges
Merck will share how they are using AI to identify potential data integrity issues
Hear from AMA on what their physicians and surgeons need in order to trust AI
Join Xavier AI Working Teams for AI solutions that matter
Take part and ask questions in the Fireside Chat with AI Experts
Toni Manzano, Aison co-founder and CSO and AI Summit speaker and strategic committee member, invites you to AI Summit 2021!
Summit Workshop: AI Success for Product Approvals and Regulatory Inspections
Virtual Sprints: 11/4 & 11/5/2022
Discover the evolution of FDA thinking on AI implementation and approvals
Learn from Eli Lilly on how to build on your current QMS to manage AI
Building on what you already know: fitting AI into current Quality and Regulatory models
Develop AI solutions using current regulatory models
Engage in the Fireside Chat, which will cover establishing trust for AI use in our regulatory landscape
All summit and workshop sprints include:
Virtual breakout rooms: Engage with your peers and expert leaders.
Chat box Q&A: Have your most pressing questions answered.
Live polling: Gauge your thoughts with those across the industry.
Recordings of each session available after the summit for three months.
AI Summit Sponsors 2021
Because of the generosity of our sponsors, we can continue our work to advance AI solutions in pharma, device, and combination products. Thank you!
Premium Sponsor —
Distinguished Sponsor —
Who Should Attend
Those looking for solutions to launch or advance AI capabilities:
Quality, Regulatory, Operations, R&D, Clinical Trials, and Supply Chain functions
Health care providers—using and/or building AI solutions
Data scientists and AI experts
Any segment of the healthcare industry
Companies of all sizes
Consultants and service providers to the life science industries
FDA/Industry AI Working Teams:
Good Machine Learning Practices
AI in Operations
AI at the Point of Care