Private Wireless Networks
Utilities are leveraging AI-powered sensor networks to predict equipment failures before they disrupt service
This story was produced through MarketScale. See how Energy teams put it to work with Customer Stories & Case Studies.
Key takeaways
Utilities are leveraging AI-powered sensor networks to predict equipment failures before they disrupt service
Get featured
Want to get featured in MarketScale Energy?
Create a free MarketScale workspace and get your company's expertise featured across our Energy coverage. No credit card, no demo required.
Verizon host Wayne Weeks discusses the evolving utility industry with John Gaster, CEO of KSI Data Sciences at DISTRIBUTECH 2024. Together, they explore how KSI focuses on harnessing data from remote sensing devices to enhance the safety, efficiency, and cost-effectiveness of utility operations. Gaster emphasizes the significant role of AI and machine learning in data processing, aiming to preemptively address maintenance and operational challenges within the utility sector. This discussion highlights the integration of advanced technologies to improve grid reliability and efficiency, underscored by Verizon's robust network capabilities.
Gaster emphasizes the significant role of AI and machine learning in data processing, aiming to preemptively address maintenance and operational challenges within the utility sector.
Your experts belong here
Every story in MarketScale Energy starts with a company putting its field engineers, operations leads, and project developers on the record. Buyers are already reading this topic. The only question is whose experts they find.
Developers and operators shortlist on credibility, and your engineers give your sales team something real to send.
About the author