Law & Lawyers

DistribuTECH: Patrick Aluise

Accenture

“We have data around companies that lean into a metaverse/sustainable strategy. It’s more profitable. That has to do with retaining better employees and cost savings because, from onboarding and ongoing training points of view, you don’t have to send people all over the world.”

CERAWeek: Texas Panel

Texas PUC, ERCOT, Oncor

“Uri showed us there were two big vulnerabilities in our grid. First, vulnerability to extreme weather events. And second, resource adequacy over longer periods of time.”

DistribuTECH: Abhishek Singh

AiDash

“Our AI model can make predictions in terms of number of outages of an upcoming storm at over 85% accuracy at a subregional level. We know each tree’s nucleus network. We map the height, health of the tree, propensity of the tree to fail against wind speed and windstorm path: we are able to precisely identify points of failures.”

DistribuTECH: Ann Moore

AVEVA

“With applications, now we have predictive analytics and AI. It’s popular because the grid used to be one-directional power flow. Now, it’s a multidirectional, dynamic, and complex with increasing renewable and distributed energy resources.”

DistribuTECH: Joe Travis, Brad Johnson

Bentley Systems

“We’re ideating ways to use our digital twin technology with the physical world to help them project forward. As they do work in their system, they’re not just addressing today’s needs, but take seemingly unrelated data and find correlation to build the grid once for the next 20 to 30 years, rather than go back out again.”

DistribuTECH: Gautam Aggarwal, Maria Kretzing

Bidgely

“Our core is smart meter data. Bidgely is an energy intelligence company that applies AI and machine learning on top of data to decipher that data, demystify the data, and create value for utilities to serve their customers on the grid side.”