Tom Martin leads the data science team and is a key partner to our clients in demonstrating how data science solutions can help solve their challenges. Prior to this role, he served as managing director of data science at TROVE, and he led the implementation of new technology and analytics at PG&E to reduce the company’s operational costs, improve safety, and increase grid reliability.
Content by this author
Advances in technology and predictive data science are providing new opportunities for utilities to evaluate existing vegetation-management processes, achieve operational efficiencies, and save money. Read this blog post to learn more.
Learn how utilities can lower operations costs and improve reliability by applying predictive data and machine learning to vegetation management. With data science, utilities will also minimize problems from unplanned work and ultimately improve safety and customer satisfaction.
By adopting our data-science-as-a-service (DSaaS) solution, utilities can become more data-driven in partnership with experts in a flexible, organic way that accelerates speed to value. Learn more in this insightful interview with E Source’s Tom Martin!
Well-worn, “safe” risk management approaches that may not deliver results but don’t rock the boat are beginning to come under pressure due to macroenvironmental factors. Find out why doing what we’ve always done may be perceived as safer, but may not be the best option for risk management.
COVID-19 has affected every major industry around the world. For example, utilities have stopped shutoffs for nonpayment at least through May 31. No doubt a necessary act, but it will cause complications: a significant number of utility customers will be overdue on their bills in the next 24 months.