Daniel Nagala's guest appearances

Daniel Nagala

Energy by MarketScale

Oilfield Ingenuity

MarketScale Technology

Dan Allford

Dan Miller

David Hill

David Sawyer

John Dudley

Dan Thompson

Eric Anderson

Michael Longoria

Andy Weir

Ben Taylor

John Ryan

Chris Devlin

Matt Wood

Paul Johnson

Ross Perot

OwlTail

Welcome back to the Oil &amp; Gas Tech podcast — brought to you on the Oil and Gas Global Network, the largest and most listened-to podcast network for the oil and energy industry.This week our host Michael O'Sullivan talks with 40-year industry veteran Daniel Nagala, founder of UTSI International.More from OGGN ...PodcastsLinkedIn GroupLinkedIn Company PageGet notified about industry events

Welcome back to the Oil &amp; Gas Tech podcast — brought to you on the Oil and Gas Global Network, the largest and most listened-to podcast network for the oil and energy industry. This week our host Michael O'Sullivan talks with 40-year industry veteran Daniel Nagala, founder of UTSI International. More from OGGN ... Podcasts LinkedIn Group LinkedIn Company Page Get notified about industry events

Modernizing ICS—an historical perspective with UTSI founder Daniel Nagala, ep 133

"Digital transformation" might sound like a vapid buzzword, but make no mistake: when you get down to brass tacks, the digitization of long-held industry processes is providing actionable information from massive amounts of data. On this episode of the Energy Podcast brought to you by MarketScale, we’ll discuss machine learning’s critical impact on oil and gas industry control rooms with Dan Nagala, president and CEO of UTSI International Corporation. Texas-based UTSI is a vendor-independent consulting and engineering services company that focuses on Industrial Control Systems (ICS) for oil and gas pipelines and related critical infrastructure facilities. Nagala has been leading the company’s initiatives as CEO for an astonishing 30 years and has seen machine learning and artificial intelligence in its earliest iterations. “AI and machine learning had a rocky start,” Nagala said, explaining how AI has finally come into its own in the last decade. Nagala shared four types of analytics that are taking hold of critical infrastructure control rooms.  Diagnostic analytics figures out what happened from an incident from past data that wasn’t immediately available or obvious at the time, Nagala said. Descriptive analytics looks at past data for correlations. Predictive analytics uses historical data from, for example, an equipment’s long term use. Prescriptive analytics looks at historical data and creates what-if scenarios based on it.  “If you can predict failure before it happens, you can get in there to schedule a maintenance run and avoid a failure that’ll require more time to repair and cost more money,” Nagala said.

"Digital transformation" might sound like a vapid buzzword, but make no mistake: when you get down to brass tacks, the digitization of long-held industry processes is providing actionable information from massive amounts of data. On this episode of the Energy Podcast brought to you by MarketScale, we’ll discuss machine learning’s critical impact on oil and gas industry control rooms with <a href="https://marketscale.com/industries/contributors/dan-nagala/" rel="nofollow" target="_blank">Dan Nagala</a>, president and CEO of <a href="https://www.utsi.com/" rel="nofollow" target="_blank">UTSI International Corporation</a>. Texas-based UTSI is a vendor-independent consulting and engineering services company that focuses on Industrial Control Systems (ICS) for oil and gas pipelines and related critical infrastructure facilities. Nagala has been leading the company’s initiatives as CEO for an astonishing 30 years and has seen machine learning and artificial intelligence in its earliest iterations. “AI and machine learning had a rocky start,” Nagala said, explaining how AI has finally come into its own in the last decade. Nagala shared four types of analytics that are taking hold of critical infrastructure control rooms. <ul> <li>Diagnostic analytics figures out what happened from an incident from past data that wasn’t immediately available or obvious at the time, Nagala said.</li> <li>Descriptive analytics looks at past data for correlations.</li> <li>Predictive analytics uses historical data from, for example, an equipment’s long term use.</li> <li>Prescriptive analytics looks at historical data and creates what-if scenarios based on it.</li> </ul> “If you can predict failure before it happens, you can get in there to schedule a maintenance run and avoid a failure that’ll require more time to repair and cost more money,” Nagala said.

How AI Is Saving Time and Money in Critical Infrastructure Control Rooms with Daniel Nagala of UTSI