DataRobot

Love to see DataRobot leadership on the ground in Japan this week, meeting with the customers and partners driving agentic AI forward in the region 🤖

The 10x developer was never about writing more code. It was always two things: the person who's seen enough to diagnose anything, and the person who makes everyone around them better. Dev to dev: AI raises the stakes for both:

Thousands of variables, aging infrastructure, processes built over decades: oil and gas runs on complexity. So if Chevron can use agentic AI in one of the most complex, high-stakes operating environments on earth, it can work anywhere. Last week, we announced our new collaboration with Chevron. Debanjan Saha explains what this means for the industry and why it's so important to get right:

Your governance frameworks were built for models that predict, but agents act. They move across systems, make decisions, and use tools, but most organizations' controls weren't designed to follow them. Our ebook on AI agent governance gives you a practical framework built for the way agents actually work: https://bit.ly/4udJI7S

Building agents that survive production is a different problem than building agents that demo well. Join our very own Amber Bennoui on Thursday (June 11) at the Intuit Open Source Meetup in Mountain View, CA. She'll be discussing "The Engineering Behind Agents That Last." RSVP today! https://lnkd.in/dvVnaswh

Some environments are too dangerous to inspect manually: Hot work permits, gas plumes, classified hazardous zones. Chevron didn't accept that as a permanent constraint. They built AI agents on DataRobot to handle facility inspections autonomously — routing drones through gas-free corridors, predicting gas plumes in real time, and keeping operators in the loop via natural language chat. If agentic AI can work here, it can work anywhere: https://bit.ly/49F2o9d

We could try to write a caption, but Justin Lo said it best👇

Breaking into tech used to reward scrappiness. Boot camp grad? Impressive. Self-taught? Respect. The industry moved fast and needed bodies who could move with it. One of our devs will be the first to tell you: that path is harder now. Junior roles are more competitive. Employers want confidence before they take a chance. And boot camps aren't the signal they used to be. Dev to dev: the AI era didn't just change what developers do. It changed how you prove you can do it:

Who's accountable when the automated decision is wrong? Our CEO Debanjan Saha on why the leaders who win the AI era won't just be technically fluent. They'll be the ones who know when to say no:

NEW: We're collaborating with Chevron to deploy agentic AI at the edge for autonomous inspections — continuously assessing conditions in real time, rather than relying on point-in-time checks. Robotic inspections at energy facilities used to require manual operator sign-off before every single mission. AI agents are changing that. The result: less manual intervention, more consistent safety standards, and robotics deployed faster across operations. This is what AI agents actually do in production: https://bit.ly/4uUFPFO