How IBM and Infosys Approach Scaling Responsible AI with Governance

Part 1 – Presentation: AI has become essential for business strategies. Executive leaders, boards and investors now expect companies to extract value from their data with AI. Governance is a key enabler, supporting responsible AI adoption at scale. As AI technology continues to advance with shifting focus from generative AI models to agentic AI, opportunities for innovation increase, but so do the risks and challenges. With more autonomous AI and less human in the loop, transparency and explainability are essential. AI governance programs need clearly defined requirements and controls aligned with applicable industry standards like NIST AI, ISO 42001 and regulations like the EU AI Act and SS-123 and the people and processes to manage risk. Hear from IBM and Infosys on their approach to streamlining processes and automating AI governance.

Part 2 - Fireside Chat: Hear about how IBM and Infosys partner to scale AI governance with clients in highly regulated industries.

What you will learn:

• AI governance programs that are integrated in support of the AI lifecycle create an audit trail that supports effective risk management and facilitates compliance.
• Agentic AI opportunities, risks and mitigations.
• Advantages of continuous controls to protect models in production, ensuring ongoing transparency, explainability and compliance.

Sponsored by: IBM