Predicting Risk: How Jaron Jones is Transforming Utility Services with AI
Jaron Jones serves as the Chief Information Officer (CIO) at Elm, a national utility services company specializing in underground locating, gas detection, and risk analytics. Bringing a strong background in AI, GIS, and traditional analytics, Jaron has helped Elm modernize its tech stack while advancing machine learning initiatives to predict and mitigate risks across utility operations. At Elm, Jaron continues to merge in-house software development, cutting-edge cloud modernization, and geospatial intelligence to build agile, tech-first utility solutions for clients across 14 states.
Here’s a glimpse of what you’ll learn:
- How Elm designs and maintains proprietary software for utility services
- The role of AI and machine learning in assessing ticket risks and preventing damages
- Why modernizing legacy tech stacks requires smart architectural decisions
- How GIS (Geographic Information Systems) data enhances machine learning models
- Insights into Jaron’s unconventional journey from veterinary science to CIO
- Key advice for breaking into and advancing in the technology field
- The importance of saying "yes" to new opportunities early in your tech career
In this episode…
In today's conversation, Jaron Jones reveals how Elm stands apart by developing most of its operational software in-house—a rare feat in the utility services sector. By maintaining control over its tech stack, Elm can remain agile, secure, and innovative even with a system originally architected two decades ago. Jaron highlights how modernizing critical components in Azure while maintaining secure, decoupled legacy services allows Elm to balance innovation with stability.
Jaron dives into Elm's use of machine learning models to predict ticket risks and prevent potential damages before they occur. He explains how integrating GIS data—like the age of surrounding infrastructure and environmental details—adds critical context to their models, enhancing the precision of predictions. His approach underlines the real-world impact of AI and analytics on reducing costs, improving safety, and increasing operational efficiency.
Beyond the technical discussion, Jaron shares his personal story of entering tech unexpectedly—starting from hardware repairs and call center work while studying veterinary medicine. His story underscores the value of being adaptable, embracing unexpected opportunities, and continuously building skills. Jaron’s career journey serves as an inspiring blueprint for those looking to break into tech or climb the IT leadership ladder.
Resources mentioned in this episode:
Matthew Connor on LinkedInCyberLynx
Jaron Jones on LinkedIn
ELM Companies Website
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