Summary
Despite the benefits of generative AI, institutions are now facing related risks in regulatory backlash, fines, revenue loss, and brand damage. The need for a transparent, compliant, and trustworthy governance plan has only been punctuated by the recent White House announcement of the strongest global action yet on AI safety and governance.
Establishing an AI governance plan that covers both machine learning and Generative AI is paramount for organizations to stay ahead. There has never been a more critical time to navigate a meaningful, company-wide AI plan within your organization.
Join this IDC webcast and you will learn:
- The top 5-7 burning questions about Generative AI
- Organizational barriers to AI adoption and how to overcome them
- Improvements in AI governance tool kits for both machine learning and Generative AI
- How to create a solid AI governance plan with company-wide buy in
Key speakers
Ritu Jyoti, Group VP, Worldwide AI and Automation Research, IDC
Ritu Jyoti is Group Vice President, Worldwide Artificial Intelligence (AI) and Automation Research with IDC's software market research and advisory practice. Ms. Jyoti is responsible for leading the development of IDC's thought leadership for AI Research and management of the Worldwide AI and Automation Software research team. Her research focuses on the state of enterprise AI efforts and global market trends for the rapidly evolving AI and Machine Learning (ML) including Generative AI innovations and ecosystem. Ms. Jyoti also leads insightful research that addresses the needs of the AI technology vendors and provide actionable guidance to them on how to crisply articulate their value proposition, differentiate and thrive in the digital era.
Heather Gentile, Director of watsonx.governance, IBM
Heather Gentile is Director of Product in IBM’s Data and AI software division. Heather focuses on opportunities to apply AI technologies to develop innovative solutions for IBM’s watsonx.governance and governance, risk and compliance portfolio. She works with organizations to enable responsible, transparent and explainable AI.
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