Agentic MLOps in Energy & Climate: Live Demo
In the world of Energy and Climate Tech, half the week of Data Scientists and ML Engineers goes to repetitive work. Restructuring a notebook so it can run in production. Rerunning experiments as new data comes in. Monitoring models for drift and fixing production errors.
ML agents can take over that work, so Data Scientists and ML Engineers can spend their time where it counts. Agentic MLOps is the result of combining two worlds: traditional MLOps, which gets high quality forecasting & optimization models into production, and agentic AI, which builds and ships software fast. These agents can build, improve and deploy your ML forecasting models. And more. In this demo we want to show you how.
At Enjins we started in 2018 as ML engineers and have seen the field change quickly over the past few years. Across the 50+ ML projects we have done and with the rise of AI agents, Agentic MLOps has become a recurring topic at our clients. Not only as experiments, but in production.
What we have learned is that ML agents are only effective when the MLOps framework underneath them is solid and well defined, and when they have access to the right tools.
In this 45-minute session, our CTO and Lead AI Engineer walk through what it takes to build ML agents in production: which use cases are worth starting with, what your MLOps framework needs, and how to give agents safe access to the right tools. Illustrated with live use case demos on the MLOps framework we use at several Climate Tech clients.
It will be an interactive session, with plenty of room for Q&A.
🎤 Our program
17.00 | What is Agentic MLOps? by Hugo Kroonen (Enjins)
17.05 | Real world use cases of ML agents by Joanne Lijbers (Enjins)
17.20 | What your MLOps framework needs by Luuk Schagen (Enjins)
17:30 | Q&A
🧐 Who should attend
This event is designed for Heads of Data, ML and Data Science, and senior AI & ML engineers in energy, climate tech, mobility, or logistics.
About the Host
Enjins is a European AI engineering firm focused on ClimateTech and Energy. We help startups, scaleups, and innovative enterprises turn complex data into production-ready AI & ML systems.
📸 Disclaimer
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