Larson’s near-term priorities revolve around establishing strong AI governance
AI strategyOn their agenda
Larson’s near-term priorities revolve around establishing strong AI governance
AI strategyDecision rights
And safe automation boundaries. He emphasizes moving beyond simple time-savings to measure cycle time and true ROI. Additionally
Operational efficiencyHe focuses on structuring "human-in-the-loop" workflows that continuously improve systems rather than just managing exceptions
Ensuring AI implementations provide durable operating value.
AI strategyIn the room



ET · Panel
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.
Working on now
Kyle Larson focuses on transforming AI from experimentation into an enterprise capability at IDEMIA
About
<p>Dan Wolf is an engineering leader specializing in AI and data strategy across financial services and enterprise technology. As Engineering Director of AI & Data Strategy at BlackRock, he leads software and data engineering teams focused on building scalable data platforms, alternative data capabilities, and emerging AI solutions for investment research.</p><p>Previously, Dan built BlackRock’s Platform Engineering function from the ground up and held senior data engineering and analytics roles at AnswerRocket, Kabbage, Red Hat, and AT&T. His expertise spans cloud data architecture, MLOps, and distributed data systems, complemented by a strong track record of building high-performing technical teams and delivering scalable technology solutions.</p>
Same agenda, other rooms

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