
Chief Data Scientist, New York City Council
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PT · Panel
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.
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About
<p>Abhinav Mangal is VP, Head of Analytics at EarnIn, where he's reshaping the function for an AI-first world — pairing strong data foundations with AI agents so product, marketing, and risk leaders can get deep insights on demand. Over the past 18+ years, he's led analytics, data engineering, and machine learning teams at EarnIn, Dropbox, and PayPal, partnering closely with C-level executives across product, marketing, finance, and risk. At Dropbox, he ran data engineering, ML, and business intelligence; earlier, he spent a decade at PayPal building and leading global consumer and merchant analytics teams across continents. He holds an MBA from Kellogg and studied Engineering at IIT Bombay.</p>
Same agenda, other rooms

Chief Data Scientist, New York City Council

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