Bidgely and NISC Enhance AI-Powered Customer Experience

Sep 23, 2025
Bidgely and the National Information Solutions Cooperative (NISC) are expanding their AI-driven solutions to improve customer experience and efficiency for utility members, announced in a press release.

Announced in a press release, Bidgely and National Information Solutions Cooperative (NISC) are expanding their AI-powered customer experience solutions with new grid edge capabilities. These advancements will be showcased at the 2025 NISC Member Information Conference in Louisville, Kentucky.

The collaboration aims to provide a more personalized consumer experience while improving efficiency and reducing costs for utility members. Bidgely's Analytics Workbench, integrated with NISC's SmartHub platform, offers utilities the ability to better understand customer energy usage and align them with appropriate programs. This integration allows for more targeted and effective customer engagement strategies.

Central Electric Cooperative and Middle Tennessee Electric will present their success stories using Bidgely's solutions at the conference. These utilities have leveraged Bidgely's tools to provide detailed energy usage insights, helping customers manage their consumption more effectively and enhancing overall member satisfaction.

Bidgely's AI solutions are designed to empower utilities with advanced tools for energy management, offering insights into emerging technologies like electric vehicles and enabling more efficient program design and infrastructure planning.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.