Incorrect results, lack of transparency, security vulnerabilities, data privacy violations – there are many risks that organizations must navigate as they strive to realize the competitive advantages offered by AI adoption. Mitigating AI risks requires the right blend of governance, security and compliance technologies and practices to ensure AI systems and applications are safe, secure and trustworthy. This includes platforms, tools and processes for data and AI governance, security and privacy, and compliance management.
SPEAKERS
Suzanne Weller Director, Research & Development – Privacy and Security
Informatica
Steve Karam Principal Product Manager, AI, SaaS, and Growth
Delphix by Perforce
Susan Laine Chief Technologist, Data Thought Leader
erwin by Quest
Dr. Kjell Carlsson Head of AI Strategy
Domino Data Lab
MODERATOR
Stephen Faig Research Director
Unisphere Research and DBTA
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