Shashank Kadetotad

Global Senior Director, Enterprise Data Science and AI at Mars

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On their agenda

Four priorities, mapped against profiled leaders

His near-term priorities include accelerating the AI deployment cycle from pilot to production and establishing strict governance over agentic AI by deliberately controlling the cognition handed to AI agents. He emphasizes fostering data and AI literacy

AI strategy

Driving practical business transformation

Securing internal buy-in

And cultivating psychological safety to allow teams to experiment and fail fast.

Talent & culture

AI strategy Digital transformation Operational efficiency Analytics & decisions Talent & culture Growth & partnerships Data platforms Data governance Customer experience

Source: 734 CIO Vision leader profiles with at least one priority theme, from 742 leaders in the series. Share of those leaders in each theme; leaders may have multiple themes. Yellow marks Shashank's saved themes.

In the room

Atlanta, 2 Oct 2026

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Atlanta · 2 Oct 2026

10:00–10:30 ET · Panel

Beyond the Business Case: When does AI Investment Actually Pay Off?

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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Shashank leads enterprise data science and AI at Mars, focusing on transitioning AI from experimentation to tangible business outcomes

About

<p>Shashank Kadetotad is an enterprise AI and data science leader serving as Global Senior Director of Enterprise Data Science and AI at Mars. With more than a decade of leadership experience across global organizations, including Walmart and Amazon, he specializes in transforming AI initiatives from early-stage pilots into scalable, enterprise-wide solutions.</p><p>Combining deep expertise in machine learning with a Master’s in Supply Chain Management from the University of Michigan, Shashank leads high-impact analytics teams, advances practical AI governance, and breaks down organizational silos to drive measurable value across supply chain, operations, and commercial functions.</p>

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