We are entering a new phase of AI: the transition from AI that assists us to Agentic AI that acts on our behalf. While many organizations have experimented with co-pilots and chat interfaces, agentic AI can interpret business signals, make autonomous decisions, and execute workflows across systems. However, this shift raises the bar for data management — data can no longer just be available; it must be trusted, governed, and contextual for real-time decisioning.

In this webinar, industry leaders discuss the “Data Integrity Gap” and provide a practical roadmap for moving AI from pilot to production.

The panelists:

• Tamara Astakhova: Senior Partner Solutions Architect at Amazon Web Services (AWS)
• Dhruv Baronia: SVP, Head of Data and Analytics at Northern Trust
• Aniket Mane: VP of Data Platform and Enterprise Apps Engineering at ThredUp

Moderator: Antonio Cotroneo, Director of Product Marketing at Precisely

Key discussion points:

• From assistance to autonomy: Why Agentic AI demands a shift from static data to “stateful” memory and real-time integration at scale.
• The integrity gap: Addressing the disconnect where 74% of leaders view AI as vital, yet only 26% effectively leverage it for positive outcomes.
• Action-based governance: Moving beyond traditional model governance to focus on accountability, permissions, and “circuit breakers” for autonomous actions.
• Reporting-ready vs. agent-ready: Why the high-quality data used for human reports often lacks the semantic context and reasoning traces required for autonomous agents.
• The 8-pillar framework: A comprehensive roadmap from AWS to scale Agentic AI responsibly, covering business cases, data strategy, and operational excellence.