How effective is your Data Model in supporting Enterprise Analytics?
An enterprise data model will help utilities drive value out of the data platform in fulfilling the holistic approach of semantic reconciliation, sourcing and data
Bringing Automated Inspection From Concept to Scale by “Closing the Loop”
Computer vision and the quickly evolving field of drones and robotics for inspection have become key figures in the race to realize automated operations across
Salt River Project Smart Usage Alerts Project at UA Summit 2021
UAI’s Erin Hardick talks with Gary Rector, Data Scientist at Salt River Project (SRP), about SRP’s Smart Usage Alerts project. At UA Summit 2021,
Artificial Intelligence: How good is good enough?
Artificial intelligence is a great tool for specific purposes but it’s not a panacea for grid automation. Speak with any data scientist about artificial intelligence
Three Problems Data Can Solve for Utilities—And One it Can’t
Apply data and analytics to solve these common challenges No utility has a perfect data and analytics strategy. There are simply too many problems to
Outsourcing and Analytics: Foresight Makes the Difference
Outsourcing has emerged as a way to support utility analytics activities, but it comes with trade-offs. Outsourcing IT and business processes is not new to
For T & D Leaders, Change Is NOT on the Horizon. It’s Here NOW.
The increasingly dynamic nature of the grid means platforms need to handle all aspects of the analytic modelling process in an integrated and seamless fashion
Portfolio Optimization Via More Surgical Customer Resource Acquisition and Evaluation
Blending customer-centricity and utility priorities is the art of portfolio optimization, but doing so can be perfectly scientific. In the first two articles of this
REPORT: Reimagining the Utility Analytics Roadmap, Executive Summary
EXECUTIVE SUMMARY A lot has changed over the past four years. There is more clarity about alternative organizational models, useful process methodologies, technology architecture and
Valuating Digital Liabilities
Most power utilities create more or less the same data types as their peers, but what differentiates them is how some are better at extracting