In today's data-driven world, organizations must adopt an assertive stance regarding the data they feed into AI systems. This goes beyond the mere importance of leveraging good data for revenue and opportunities; it involves understanding the severe consequences of incorporating flawed data.
As a result, the need for accountability in AI adoption cannot be overstated. This session delves into the intricacies of Generative AI, deep fakes, the positive impact of IG on AI efforts and programs, and the crucial consideration of IG as it relates to privacy and records management in the context of Generative AI.
Our goal is to provide a valuable resource for information governance professionals seeking to navigate the evolving landscape of AI adoption responsibly and effectively, with concrete examples and case studies providing practical insights and application strategies.
This webinar will cover critical aspects related intersection of AI with IG including:
- Creating business cases for records management programs
- Creating proactive IG-by-design solutions
- Maintaining cross-functional steering committees
- Creating realistic and meaningful KPIs
- IG best practices
- Protecting intellectual property (IP)
- Ensuring the protection of customer privacy for data
