“Right now, the vast majority of energy companies' data estates look like our garages before we clean them out for spring cleaning. They serve a function, and the intention was there to keep it neat and clean, but needs come up. So these businesses are built through acquisition. They're not monolithic IT estates or OT estates.”
The Energy Gang · Climate & Energy · November 2026
Context
Rezendes explains why energy companies need to prepare their data before pointing AI models at it. Messy data stores built up through acquisitions are the gap his company says it closes.
Transcript
…Dhabi: that it's about empowering the asset to make more of those decisions independently and not need the humans or the robots to come in from the outside. And what does that do? Increase up. It's all this, it's all the increase uptime, reduce mean time to failure, mean time to repair, all that.
Right, which directly goes to the big issue that everyone is talking about here at Adepec, which is the resilience of energy systems.
…where our new product distillery enables us to automate all of this data preparation for AI that right now is billions of dollars in professional services with IP leakage all over the place. It's like we've created a cottage industry of batch building the tools we need to feed AI. We need to automate. So there's a zoo of data pools, data stores, data storage. And here's the way I describe it. Right now, the vast majority of energy companies' data estates look like our garages before we clean them out for spring cleaning. They serve a function, and the intention was there to keep it neat and clean, but needs come up. So these businesses are built through acquisition. They're not monolithic IT estates or OT estates. So you have by nature, and it's not a bad thing, but you have a broad collection of data stores and data sets that you want to run through rapidly and cleanly with low risk and high impact these new models. But there's a mismatch. So the key for us is to say, how can we be part of inserting code, inserting machine learning, inserting AI for the data to enable that data to enable AI? And so in…
This episode of The Energy Gang is brought to you by Adipec, the world's largest energy event, which took place in Abu Dhabi from the 2nd to the 5th of November. As demand rises and global energy markets evolve, the challenge is clear. Meet today's energy needs while building more resilient…
showcasing technologies, building partnerships, and advancing the projects needed to move the industry forward. Discover more at adepec.com. Chris Rezendes, thank you very much. I next spoke to Jim Masso, who is the president and CEO of process automation at Honeywell Technologies. And I began by…
So I think the difference is real, but there's two. Grounding points probably worth making. The first is we're an automation and controls company in the most critical processes in the world. So what we do has to work. And actually, I was just having a conversation with a customer in this room…
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