$2.5B in 72 Hours: What Agentic AI Looks Like When It Actually Works

Why should you watch?

Join industry experts from DataRobot to learn how to connect planning, operations, and service to move from reactive to proactive with agentic AI.

95% of enterprise agentic AI pilots never deliver ROI (MIT, 2025). The gap isn’t ambition — it’s the jump from a model that works in a sandbox to an agent trusted to act on the plant floor, inside the systems your team already runs on.

In this session, host Scott Luton talks with DataRobot’s Vika Smilansky and Marc Amarillas about what that jump takes and what it looks like when it succeeds: agents coordinated across planning, operations, and service, each one handing off to the next.

We’ll ground our conversation in real use cases, including a tariff signal that put $2.5B in revenue at risk, resolved in 72 hours instead of weeks, with a human signing off at every step.

Not a pilot. Not a dashboard. A production-grade agent workforce — connecting planning, operations, and service to move manufacturers from reactive to proactive.

Who you’ll hear from

Vika Smilansky
Vika Smilansky

Senior Product Marketing Manager - Platform & Solutions, DataRobot

Vika Smilansky leads Solutions Product Marketing and Analyst Relations at DataRobot, where she shapes go-to-market strategy for the company's agentic AI platform.

Marc Amarillas
Marc Amarillas

Director, Customer Success Engineering, DataRobot

Marc Amarillas is Director of Customer Success Engineering at DataRobot, guiding the world's largest companies through the agentic AI transformation.

Hosted by Scott Luton of Supply Chain Now.

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