Knowledge Relay

11/10/2026

"Current-state information tells you where a project or outage is now. History shows how it got there."

Lee Gliddon explains why preserving historical data, a core part of our Data Depot and now our Data Lakehouse, gives customers a real foundation for predictive models, instead of expecting AI to read operational reality from a single snapshot.

https://knowledgerelay.com/blog/beyond-the-ai-hype-predictive-intelligence/

Knowledge Relay President Lee Gliddon on turning decades of nuclear, fossil and DOE data expertise into predictive intelligence for outages and projects.

11/09/2026

Before choosing an AI platform, ask: which decision needs to improve, who makes it, and what would help them act sooner?
Lee Gliddon on starting AI projects the right way: https://knowledgerelay.com/blog/utility-ai-build-vs-buy/

11/06/2026

Your utility needs AI. But does your team need to build it from scratch? Keep ownership of the strategy, and bring in the expertise to get it right from the start.
Lee Gliddon explains: https://knowledgerelay.com/blog/utility-ai-build-vs-buy/

11/06/2026

The most interesting part of a utility’s AI strategy may be the data it chose to preserve years ago.

That’s what stands out to me about the new five-year alliance between Dominion Energy and PingThings. Their collaboration builds on seven years of work and more than 5 petabytes of grid sensor data, creating a rich operational record for engineers to investigate events, test assumptions, and develop new insights.

As Dr. Kevin Jones, Director of Strategic Initiatives for Dominion Energy’s Electric Transmission division, noted:

“Sometimes the answer is in measurements collected days, weeks, or even years earlier.”

That perspective deserves more attention in the conversation about AI.

For utility leaders, the question is not only, “What can AI do for us?” It is also, “Are we preserving the information it will need to be useful and how and where do we use it?”

The real opportunity lies in connecting operational history with engineering expertise. Better data foundations give people more ways to understand what happened and make better-informed decisions about what comes next.

Congratulations to both teams on a thoughtful, long-term investment in grid intelligence.

https://www.modernpowersystems.com/news/dominion-energy-expands-ai-driven-grid-monitoring/

Dominion Energy Virginia and PingThings are expanding their partnership to use AI and sensor data to detect equipment faults and anticipate grid outages.

11/05/2026

An AI investment is easy to announce, and there are so many announcements to keep up with these days. But, can AI work without the most important piece?

A trusted data foundation takes sustained leadership. That work starts with questions that rarely make the launch presentation.

Do finance and operations define progress the same way? Are schedule updates current?

Who validates changes? Can a forecast be traced back to its source?

If those answers are unclear, AI is being asked to interpret inconsistencies the organization has not resolved.

A cohesive data layer is more than a place to collect information. It connects systems through consistent definitions, validated inputs, and clear ownership.

It does not eliminate the need for judgment. It gives judgment better evidence.

In my view, AI readiness is a leadership discipline before it is a technology milestone.

Before approving another AI initiative, ask who owns the reliability of the information behind it.

What are some of the challenges your organization is facing in rolling out AI?

11/05/2026

A prominent U.S. nuclear utility spent several years and millions of dollars with a large technology firm trying to migrate from ProjectView to Primavera P6. It didn't produce a working solution.

Knowledge Relay delivered the migration in under two years, for a fraction of the cost. Lee Gliddon on why:

"We understood what success meant to the business, not just what a technical migration might look like on paper."

https://knowledgerelay.com/blog/beyond-the-ai-hype-predictive-intelligence/

11/03/2026

Every outage manager wants an answer to this one:

"Based on everything we know today, when are we actually going to finish, what puts that date at risk, and what can we do about it?"

Lee Gliddon describes how remaining work, actual progress, resources, work readiness, schedule logic and historical performance can come together to answer it, moving outage teams from backward-looking reporting to forward-looking decisions.

https://knowledgerelay.com/blog/beyond-the-ai-hype-predictive-intelligence/

10/29/2026

It’s encouraging to see renewed interest in nuclear energy and the people who will shape its future.

The U.S. Department of Energy (DOE)’s latest workforce update offers tangible signs of that momentum: https://www.energy.gov/ne/articles/4-workforce-trends-nuclear-energy-2026

These are meaningful indicators of an industry creating opportunities and investing in specialized talent.

But the most exciting part is what comes next.

This resurgence creates an opportunity to introduce a new generation to rewarding nuclear careers, expand apprenticeships and hands-on training, and connect experienced professionals with those just entering the industry. With 65% of nuclear power generation and nuclear fuels employers reporting hiring difficulties, developing that talent pipeline deserves sustained attention.

The opportunity is to turn renewed interest into lasting momentum by preserving institutional knowledge, building new capabilities, and giving people a clear path to contribute.

For those of us who have long believed in this industry, it’s good to see the enthusiasm returning. Even better will be seeing that enthusiasm translate into careers, successful projects, and a stronger energy future.

10/29/2026

AI's clearest near-term win for nuclear utilities? Building complex outage and project schedules faster and more accurately.

Lee Gliddon explains how AI can analyze historical schedules, suggest activity relationships, flag missing or inconsistent logic, and check resource requirements before a schedule is finalized. Once the outage begins, predictive analytics can show why work is slipping and when it will actually finish.

Read more: https://knowledgerelay.com/blog/beyond-the-ai-hype-predictive-intelligence/

Knowledge Relay President Lee Gliddon on turning decades of nuclear, fossil and DOE data expertise into predictive intelligence for outages and projects.

10/27/2026

What makes Knowledge Relay different? Our President and COO, Lee Gliddon, puts it simply:

"Many companies can connect systems or build dashboards. The harder work is understanding what the information means, how it relates across applications, which business rules apply, and what operational decisions the customer needs to make."

In a new Q&A, Lee talks about turning more than three decades of nuclear, fossil and DOE data experience into predictive intelligence.

Read the full interview: https://knowledgerelay.com/blog/beyond-the-ai-hype-predictive-intelligence/