Titian Palazzi of Snowflake discusses utility data adoption at the Transition AI conference.
Prediction Not checkable as stated
Palazzi: AI emissions reduction benefits will far outweigh data center power demands
“So I generally think that we should proceed with the technology innovations that we're seeing. And in fact, we may not really have the full control over not doing so. And that the advances that we will get in emission reduction and energy consumption reduction…”
Prediction Not checkable as stated
Palazzi: LLMs could soon replace traditional time-series forecasting algorithms
“It's quite possible that in the not too distant future, you might actually do forecasting by asking an LLM, can you predict the next few weeks of data? Whereas to date, you would use very different algorithms for that.”
Opinion
Palazzi: California IOUs should share smart meter data with Sunrun and SunPower
“In California, the smart meter data that the three big investor on utilities have actually should be shared with a variety of different players. So for example, the distributed energy companies like Sunrun or Sunpower They can really benefit from having smart …”
Opinion
Palazzi: Energy companies are shifting from hard-coded models to production AI
“I think that's a big shift that has taken place, that in production by companies that are serving real customers, AI is used much more commonly. So a shift from hard-coded, pre-set-up, fully visible models into more machine learning and AI.”
Assertion Not checkable as stated
Palazzi: Limited Grid Visibility Restricts Renewable Energy Additions
“And the reality is that many of them don't really have visibility into their network in a way that allows them to dynamically manage both new resources being added, and then to ensure that the grid operates in a reliable manner. And then as a result, what they…”
Assertion Not checkable as stated
Palazzi: Relatively few utilities have live, fully productionized AI use cases
“I think the amount of utilities that have fully productionized use cases for AI live is relatively small.”