AI for Good: Addressing Challenges to Build Safe, Robust AI powered Information Systems
What will I learn?
What are the steps to identify a strong AI use case for my organization
How can I ensure I am protected from a contractual perspective
What are the key success criterias to ensure system quality and compliance
What documentation should be provided to accelerate system validation and compliance
What are the trending AI use cases for Pharma right now
Abstract
What does the future look like? Artificial intelligence has made incredible progress over the past 20 years. AI impacts all businesses. It will be an integral part of the biotechnology and pharmaceutical industries in the near future; and in some cases, this is already the case. The innovation brought by AI in the pharmaceutical industry also raises some fundamental questions. Understanding in which area AI can support the processes of the pharmaceutical industry (example: review of analytical data, batch record review, etc.) is one thing. However, understanding how data is leveraged and the mechanics behind producing results is another crucial aspect in our use of the technology. We'll explore the mechanics and processes of building AI technologies that ensure maximal data protection, that produce quality and consistent data and that meets GXP requirements.
Speakers
Sami Haicheur moderator Onboarding Project Specialist at GENAIZ
Catherine Lunardi speaker
CEO at Genaiz
Neil Barrett speaker
Vice President Research and Development at Genaiz
Eustache Paramithiotis speaker Vice President Research and Development at CellCarta
Luca Zanotti Fragonara speaker Advanced Technologies Competence Centre Lead & Senior Associate Partner at PQE
