A live read of the executives confirmed — from their professional profiles.
Meet the CIOs and enterprise AI leaders joining us at this event.
As AI reshapes enterprise decision-making, the Global Data Office must evolve beyond traditional control and compliance. This executive presentation examines the progression from managing data as an asset to enabling data-driven decisions and delivering trusted data products. It explores how business strategy should guide Data and AI priorities, how human oversight must reflect decision risk, and how bounded autonomy can be introduced responsibly. Four practical use cases: Data Cataloging, Continuous Compliance, Data Quality and Trust, and the Data Marketplace, illustrate how organizations can reduce friction, strengthen trust, and connect governance to measurable business outcomes.
Every senior leader is under pressure to show that AI spend translates to business value, but the path from investment to measurable outcomes is rarely linear. This panel brings together executives to share unfiltered perspectives on how they are defining, measuring, and communicating success for AI at the enterprise level, holding their organizations accountable to results, and making the tough call on when to double down, pivot, or walk away. From navigating board expectations and financial scrutiny to recalibrating strategy when pilots don't deliver, panelists will discuss what it genuinely takes to turn AI ambition into sustained competitive advantage. This is not a conversation about technology. It is about leadership, accountability, and the strategic choices that separate AI leaders from AI laggards.
AI budgets are under a microscope in 2026. Leaders across data, technology, and analytics functions can tell you what AI costs. Far fewer can tell you what it returns, or whether the spend is changing how work gets done or simply keeping the old way of working alive. This roundtable moves past the invoice and into operational reality: where the tokens actually go, how leaders are proving (or struggling to prove) value, and what it looks like when AI changes the work instead of sitting on top of it.
As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.
The future of enterprise growth is closely tied to the adoption of agentic AI, which offers capabilities far beyond traditional AI by enabling autonomous execution. This panel will examine how agentic AI enables continuous improvement in business processes, drives competitive differentiation through faster innovation cycles, and supports customer experiences. Leaders will discuss how to build resilient enterprise architectures that fully leverage agentic AI’s potential. They will also explore strategies for aligning AI initiatives with organizational goals, addressing ethical and governance considerations, and preparing the workforce for AI-driven transformation.
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