Michelangelo D' Agostino

VP of AI/ ML at Grainger

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On their agenda

Four priorities, mapped against profiled leaders

D'Agostino prioritizes scaling generative AI and LLM capabilities into enterprise operational software. Key operational priorities include expanding Grainger’s ML engineering talent in Chicago and remotely

AI strategy

Deploying developer-centric agentic workflows

Standardizing machine learning infrastructure

AI strategy

And driving responsible AI adoption across enterprise e-commerce systems.

AI strategy

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 Michelangelo's saved themes.

In the room

Chicago, 21 Aug 2026

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Chicago · 21 Aug 2026

On film

11:55–12:25 CT · Panel

Agentic AI and the Future of Enterprise Growth

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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Shared the stage with

Working on now

As VP of AI/ML at Grainger, Michelangelo D'Agostino leads a technical team building AI-driven products for the maintenance, repair, and operations (MRO) industry

About

<p><span style="color: rgb(0, 0, 0);">Michelangelo D’Agostino is the VP of AI / ML at Grainger, where his team builds AI-driven products for the maintenance, repair, and operations industry. Prior to Grainger, Michelangelo held data and machine learning leadership roles at Tegus -- a fintech company acquired by AlphaSense in 2024, Cameo--a marketplace for celebrity shout-out videos, ShopRunner--an ecommerce retail network that was acquired by FedEx, and Civis Analytics, a Chicago-based data science software and consulting company that spun out of the 2012 Obama reelection campaign. Michelangelo holds a PhD in particle astrophysics from UC Berkeley and got his start in analytics sifting through neutrino data from the IceCube experiment. Accordingly, he spent two glorious months at the South Pole, where he slept in a tent salvaged from the Korean War and enjoyed the twice-weekly shower rationing. He’s also written about science and technology for the Economist.</span></p>

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