Agentic AI shifts enterprises from assisted to autonomous intelligence. CDOs face amplified pressure to deliver measurable value, yet initiatives stall due to data quality, governance, and security weaknesses. AI agents require “trusted context”—high-quality, governed metadata ensuring decisions are traceable and defensible. Without this foundation, organizations risk operational failure, regulatory penalties, and lost customer trust.

Building trusted context demands operationalizing data catalogs as active governance engines, extending controls to unstructured data. CDOs must address the “trust paradox”—business confidence in AI outputs despite literacy and quality gaps. Our mandate: replace false confidence with demonstrable trust through measurable KPIs, rigorous PoC-to-production pathways, security reviews, and transparent, explainable models delivering ROI within 12 months.

This peer-led roundtable convenes senior CDOs for evidence-first discussion on Agentic AI. We’ll share real-world deployment insights—successes, failures, and metrics. Explore scalable governance models, unstructured data strategies, and frameworks for operationalizing metadata as AI control planes. Leave with actionable strategies, validated approaches, and peer connections through candid conversations building powerful, principled AI.

Gain practical insights, validate your approach, and connect with fellow CDOs navigating the Agentic AI era. During this roundtable, you will:

• Establish trusted context through architectural patterns and governance frameworks that ensure AI agents operate safely, compliantly, and reliably at enterprise scale.
• Govern unstructured data by learning how leading organizations manage, secure, and unlock value from emails, documents, and conversations in Agentic AI deployments.
• Operationalize the control plane by transforming passive data catalogs into active metadata engines that balance AI performance, cost, autonomy, and risk.

Levent Ergin is Chief Strategist for Agentic AI, Regulatory Compliance & Sustainability at Informatica, leading global strategy at the intersection of AI, data governance, and regulation. With more than 25 years’ experience, he works with enterprises, regulators, and policymakers to operationalise Agentic AI safely—ensuring trusted data, explainability, and compliance by design. A regular speaker at international forums including COP28, Levent is recognised for translating complex regulatory and sustainability challenges into scalable, production-ready AI and data strategies.

Simon Mikulski is a Director in the AI & Data Offering at Deloitte, based in Germany. Simon and his teams drive the development of customized data and AI strategies, including the associated measures, leading to seamless implementation and a transformation of business operating models. He holds a Master of Science in Business Information Systems.