Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Fundamentals of Technology in the Utility and Energy Operation Sectors

Control room operators have a critical role in the utility and energy industries. They are responsible for everything from managing surveillance to command and control to traffic management and broadcasting distribution monitoring. With such a key role, what are some of the unique needs control room operators have when it comes to designing their workspaces?…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Cara Schildmeyer · Control CentersData ManagementElectricityUtility Industry
Share

Key takeaways

01

Control room operators have a critical role in the utility and energy industries.

02

They are responsible for everything from managing surveillance to command and control to traffic management and broadcasting distribution monitoring.

03

With such a key role, what are some of the unique needs control room operators have when it comes to designing their workspaces?…

Control room operators have a critical role in the utility and energy industries. They are responsible for everything from managing surveillance to command and control to traffic management and broadcasting distribution monitoring. With such a key role, what are some of the unique needs control room operators have when it comes to designing their workspaces?

On today’s episode of Tech Unraveled by Vistacom, Hosts Joshua Herring and Lianna Russell, are joined by Lee Pagnan, National Sales Manager of Utilities at Barco, and Shawn Brady, VP of Product Development at Winsted, to talk about control mission operator roles, how control centers need to be ergonomically designed, and technology trends in the control center industry.

Herring and Russell also discuss…

  1. What control mission operators perform on a daily basis
  2. Ergonomic resolutions for operation work centers and commonly overlooked design considerations
  3. Examples of what operators look at from the viewable data perspective

Brady explained that there are two types of data—task data and viewable data—and operators want to see it all at once. However, this is not the most optimal solution, he explained, “We try to take stock and show the difference between the task data and the viewable data. And then we can say that all these things that are occurring, that are task data, we need to keep that on the desk. But maybe we have some of that viewable data that we can move off to a display wall…that way, it’s there for the room.”

Pagnan is seeing trends in increasing preparedness of control centers. “A great trend that we’re seeing in electric and utilities is standing up additional control center. So, COVID really brought to light some vulnerabilities previously not thought of. While most utilities were operating a primary and a backup control center, tertiary sites are now being implemented in the case there’s some type of outbreak in a primary or the backup center.”

Lee Pagnan is National Sales Manager of Utilities at Barco and previously served as Market Manager of Utilities at Barco. He has worked at Mitsubishi and AVI-SPL as in sales and market management roles. Pagnan earned a BA in Political Science from the University of California, Riverside.

Shawn Brady is VP of Product Development at Winsted and was employed at Barco as a Business Development Manager of Utilities as well as a Senior Control Room Specialist in Utilities. Brady is a Certified Office Ergonomics Evaluator (COEE) and has completed more than 200 projects in the mission critical industry.

About the author

CS
Cara Schildmeyer

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Software & Technology expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

Enterprise AI hits an inflection point: governance, agentic systems, and the ROI reckoning

Enterprise AI hits an inflection point: governance, agentic systems, and the ROI reckoning

Enterprise AI is transitioning from experimentation to a focus on accountability. Key areas now influencing success include agentic systems, budget scrutiny by CFOs, and robust data governance initiatives. These factors play a critical role in determining the efficacy and ROI of AI implementations in businesses.

  • 01Agentic systems are becoming crucial in enterprise AI for ensuring efficient, autonomous decision-making.
  • 02CFOs are scrutinizing AI investments more closely to ensure their alignment with budget constraints and ROI goals.
  • 03Robust data governance is essential in capturing the full potential of enterprise AI.

Jul 21, 2026

AI governance gaps are blocking enterprise scale-up across the Middle East

AI governance gaps are blocking enterprise scale-up across the Middle East

AI governance challenges are preventing many businesses in the Middle East from scaling up their AI deployment. While technology advancements are not a barrier, the lag in internal governance frameworks is slowing down AI adoption. Addressing these governance gaps can accelerate the integration of AI within enterprises.

  • 01AI adoption in the Middle East is hindered by outdated internal governance frameworks.
  • 02Technology is not the limiting factor for AI deployment; governance is.
  • 03Improving governance frameworks can accelerate AI scale-up in enterprises.

Jul 21, 2026

Palo Alto Networks CEO puts a number on the AI cost problem: 90% token price drop needed

Palo Alto Networks CEO puts a number on the AI cost problem: 90% token price drop needed

Nikesh Arora, CEO of Palo Alto Networks, stated that for enterprise AI to scale, token costs must decrease by 90% within two years. He highlighted that high costs have already impacted companies like Uber, which spent its full-year AI budget by April.

  • 01Token costs for AI need to decline by 90% in two years for scalability.
  • 02Uber exhausted its annual AI budget by April due to high costs.

Jul 20, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

CS
Cara Schildmeyer

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512