Gowtham Chilakapati

Executive Director Product Management Humana

Monday, June 8, 2026: Workshop Day

11:10 AM Workshop #2: Data Readiness and Pitfall Prevention for Agentic AI: From Audit to Action

Walk through the critical steps of preparing enterprise data for successful agentic AI deployment, while spotlighting common pitfalls to avoid. You’ll learn how to audit existing data silos, assess data quality, and develop actionable plans to unify and ready your data foundation. Through interactive discussions and real-world case studies, explore frequent challenges such as undocumented processes, hidden biases, and data inconsistencies and discover practical strategies to mitigate these risks. Leave with a clear roadmap to build a robust, trustworthy data environment that empowers autonomous agents and drives sustainable AI value.

Key Takeaways:

Techniques for auditing and consolidating siloed enterprise data
Identification and mitigation of common data pitfalls in AI projects
Strategies to document and standardize data and decision frameworks
Approaches to detect and address hidden biases and quality issues
Actionable roadmap for ongoing data governance and improvement

Tuesday, June 9, 2026: Main Day One

2:30 PM AI That Moves the Needle: Prioritization and ROI Measurement for Enterprise Success

Learn how to strategically prioritize Agentic AI initiatives that align with your enterprise growth goals and measure them appropriately. Dive into methods for measuring meaningful ROI to ensure your AI investments deliver lasting business impact.

Join this session to consider:

Frameworks to prioritize AI projects aligned with strategic objectives
Metrics that capture real value: cost reduction, compliance, CX, and user adoption
Tools and techniques to quantify ROI and track success over time
Data-driven decision-making approaches for sustainable AI investment
Common pitfalls in ROI measurement and how to avoid them

Check out the incredible speaker line-up to see who will be joining Gowtham.

Download The Latest Agenda

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