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Global consulting firm names new Houston energy practice leader​

Alvarez & Marsal announced the appointment of Jay Johnson as senior adviser to its energy practice. Photo via alvarezandmarsal.com

A top global professional services firm named a Houston-based energy leader amid industry evolution and regulatory changes.

Alvarez & Marsal, or A&M, announced the appointment of Jay Johnson as senior adviser to its energy practice.

“I enjoy bringing together teams of people to solve the complex challenges facing companies today,” Johnson says in a news release. “I’m looking forward to working with A&M’s energy team to build leadership and capabilities to address industry challenges.”

The firm has over 500 energy consultants in over 30 countries.

According to A&M, Johnson’s joining represents the “next phase of A&M’s strategic plan to help energy clients maximize value and drive change amidst industry challenges, regulatory changes and economic volatility.”

“The firm’s focus on operational improvements lines up well with my own,” Johnson said.

The move complements last year's integration with The Carnrite Group, according to A&M's news release.

Johnson spent 40 years at Chevron in a variety of roles that took him from London and Kazakhstan to Papua New Guinea and the United States. He earned a bachelor’s degree in electrical engineering from the University of Illinois, as well as an MBA from Louisiana State University.

“Jay’s background leading the upstream business for one of the largest energy companies and his industry perspectives will help A&M shape its future growth,” A&M Managing Director and Energy Practice Leader Lee Maginniss says in a news release. “Jay’s leadership experience combined with his operational mindset will be instrumental to developing firm-wide talent that can best advise clients.”

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A View From HETI

SLB and NVIDIA plan to build an "AI factory for energy" to help the industry transform massive amounts of data into actionable information. Photo courtesy SLB

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”

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