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Power Moves: Mainstream Renewable Power CEO and more

Morten Henriksen has been appointed as group CEO of Mainstream Renewable Power, effective April 1 2025. Henriksen was previously working as CEO of Gassnova, the Norwegian state enterprise for carbon capture and storage. His previous experience spans executive management roles in the energy industry in Norway and internationally for companies including Arendals Fossekompani and Statkraft, […]

Morten Henriksen has been appointed as group CEO of Mainstream Renewable Power, effective April 1 2025.

Henriksen was previously working as CEO of Gassnova, the Norwegian state enterprise for carbon capture and storage.

His previous experience spans executive management roles in the energy industry in Norway and internationally for companies including Arendals Fossekompani and Statkraft, in addition to multiple board positions.

Current, CEO Mary Quaney will continue to support Mainstream and the transition in a senior advisor capacity before stepping down in the second half of 2025 to pursue other interests.

Mainstream chairman Kristian Røkke said: “We would like to express our gratitude to Mary for her leadership over the last five years. She has guided Mainstream’s global team with focus, resilience and integrity, navigating a period of industry-wide transformation.”

He added: “As we enter a new phase, Morten brings extensive experience and deep sector expertise to position Mainstream for growth. His leadership will be instrumental in executing the company’s strategy and driving Mainstream’s growth in the global energy market.”

Energean non-executive director Sayma Cox © Supplied by Concordia Energy
Energean non-executive director Sayma Cox.

Sayma Cox will join the board of Energean as an independent non-executive director from 1 March 2025.

Cox will be part of the company’s audit & risk committee and the environment, safety and social responsibility committee.

As a highly accomplished energy executive with 27 years of global experience, Cox was most recently serving as CEO of North Sea Midstream Partners (NSMP), a position she left in December to pursue new ventures.

Chairwoman of Energean Karen Simon commented “Sayma’s extensive international oil and gas operating experience and CCS expertise, combined with her geopolitical understanding and executive experience will provide valuable strategic insights, which will help us build on our successes to date, driving a new phase of growth. We are excited that Sayma is part of the team and look forward to working with her.”

Buchan offshore wind technical and engineering director Brian Horne. © Supplied by Buchan offshore wind
Buchan offshore wind technical and engineering director Brian Horne.

Brian Horne will take on the role of technical and engineering director for the Buchan offshore wind project from March.

He joins the team from leading industry consultancy Kent, where he was technical director for offshore wind, and replaces retiring Andrew Donaldson in the role,

In addition, Yohashini Chandramohan has been appointed to the new role of project engineer, having been part of the team responsible for the construction of Neart na Gaoithe offshore wind farm in the Firth of Forth.

And Kevin Brunton and Ed Unwin have joined the team as lead civil engineer and lead offshore engineer, respectively, after periods on secondment to the project.

In addition, the project is actively recruiting for a supply chain and procurement lead, project controls lead and a new position of stakeholder communications and policy lead.

Project director Clare Lavelle said: “As the Buchan offshore wind project moves towards consent submission and pushing forward to financial investment decision, we are strengthening our engineering and development teams to ensure we are fit for delivery.”

Buchan offshore wind is a 1GW floating offshore wind project to be based 75km to the northeast of Fraserburgh. The project is being developed as a joint venture between BayWa, Elicio, and BW Ideol.

Iain Torren, Wood interim chief financial officer. © Supplied by Wood
Iain Torren, Wood interim chief financial officer.

Iain Torrens has come in as interim chief financial officer at Aberdeen services firm Wood following the unexpected departure of former CFO Arvind Balan.

Torrens will take on the position immediately after his predecessor resigned due to an “incorrect description of his professional qualifications in various statements in the public domain”.

The new finance chief will hold the position while the Aberdeen business hunts for a new CFO.

Altrad's UK, Ireland, Nordics & Poland board advisor Julie Nerney. © Supplied by Altrad
Altrad’s UK, Ireland, Nordics & Poland board advisor Julie Nerney.

Julie Nerney is set to join Altrad’s UK, Ireland, Nordics & Poland executive board as a board advisor in April 2025.

Nerney has held CEO, COO, and director-level roles. She has also delivered complex, high-profile programmes, including a leadership role in the transport operations for the London 2012 Olympic and Paralympic Games.

Her strategic insight and leadership expertise will further strengthen Altrad’s executive team as it continues to drive growth and development.

Altrad CEO for the UK, Ireland, Nordics & Poland John Walsh said: “Julie’s wealth of experience, broad sector exposure, and passion for building high-performing, inclusive teams will bring fresh perspectives to our Executive Board. We look forward to her contributions and the positive impact she will make on our strategic direction.”

The French engineering giant has completed multiple acquisitions in recent years, recently adding 1,900 workers after buying Aberdeen-based Stork UK.

TAQA Well Completions UK area manager Rita Greiss. © Supplied by TAQA Well Completion
TAQA Well Completions UK area manager Rita Greiss.

Rita Greiss has been appointed at the UK area manager for TAQA Well Completions.

Greiss will lead the company’s UK operations and use her expertise to drive innovation, enhance operational efficiency, and deliver sustainable solutions.

Under her leadership, TAQA will continue to advance digitalisation, automation, and sustainability efforts, ensuring UK operators have access to innovative, cost-effective, and environmentally friendly solutions.

Greiss said: “With the industry evolving rapidly, I look forward to collaborating with clients and partners to implement smart, efficient, and environmentally responsible well completion solutions.”

Additionally, TAQA Well Completions is actively expanding its portfolio to support the energy transition, engaging in green projects across the UK and CEU.

Vice-president for well completions at TAQA Karianne Amundsen added: “Rita’s leadership will be invaluable as we strengthen our presence in the UK market. Her strategic vision and technical expertise align with our mission to provide high-performance solutions that enhance well integrity, optimise production and support the industry’s sustainability goals.”

Humber Marine and Renewables directors David Laister and Emma Lingard. © Supplied by Humber Marine and Re
Humber Marine and Renewables directors David Laister and Emma Lingard.

David Laister and Emma Lingard have been welcomed to the board of directors of regional trade organisation Humber Marine and Renewables.

The two will support the group’s strategic direction, bringing their communications acumen to the leadership team.

They were appointed following the departure of Graham Billany, and former chair Iain Butterworth from Humber Marine and Renewables.

In addition, the trade body is in the process of appointing a new chair, as well as a business development manager.

Laister said: “It is a pleasure to be involved in an organisation I’ve always had the utmost respect for, having supported the incredible events that bring key Humber businesses and industry leaders together.

“The devolution agenda playing out in 2025 underlines the importance of pan-Humber organisations to the business community, so I’m delighted to be on board.”

Lingard added: “The Humber region is at the forefront of the UK’s renewable energy revolution, and I’m excited to contribute my expertise to support its vision for sustainable growth and innovation.”

EnergyPathways non-executive director Stephen West. © Supplied by EnergyPathways
EnergyPathways non-executive director Stephen West.

Stephen West will step down as non-executive director at EnergyPathways to pursue other opportunities.

With the company aiming to appoint a replacement in due course, West will remain available to EnergyPathways as a consultant.

EnergyPathways non-executive chairman Mark Steeves said: “We wish Steve well with his future endeavours and thank him for his considerable contribution to the development of the company, most notably through the reverse takeover transaction through which the company secured its AIM admission in late 2023.

“We are also pleased to retain his expertise through his ongoing consultancy role. The board will appoint an appropriate replacement in due course.”

Baker Hughes group chief financial officer Ahmed Moghal. © Supplied by Baker Hughes
Baker Hughes group chief financial officer Ahmed Moghal.

Ahmed Moghal has been appointed as the group chief financial officer at Baker Hughes.

Moghal previously served as the CFO of the company’s industrial & energy technology (IET) business, having also held senior positions in various business and corporate roles.

He succeeds Nancy Buese, who, by mutual agreement with the company, ceased to serve as CFO effective immediately. She will move to a strategic adviser role and will depart the company on April 30, 2025.

Baker Hughes chairman and CEO Lorenzo Simonelli said that Moghal’s appointment “reflects the substantial progress Baker Hughes has made in executing our strategic transformation. Reflecting on the financial successes achieved during Horizon 1, we drove record results last year while taking key actions across the company to significantly expand margins.”

He added: “As we embark on this next phase of growth, it is crucial to have a CFO with deep-domain knowledge across both business segments, a track record of fostering collaboration and strong financial performance, and a comprehensive understanding of our growth strategy.

“As part of his previous roles in Baker Hughes, and as well as currently leading free cash flow efforts across the company, Moghal has developed unique insights into our business and broad portfolio that will ensure we efficiently allocate capital to drive profitable growth while remaining focused on continuous margin improvement.”

The American oilfield services group beat analysts expectations last year, when it saw an 8% increase in revenue and a 36% jump in adjusted net income.

Power Moves is kindly sponsored by the good people of JAB Recruitment.

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China is also accelerating efforts to strengthen domestic training chip design and manufacturing capabilities, with the strategic objective of reducing long-term dependence on foreign suppliers, Zeng added. Things could get more complex if authorities mandated imported chips to be deployed alongside domestically produced accelerators. Reuters has reported that this may be a possibility. “A mandated bundling requirement would create a heterogeneous computing environment that significantly increases system complexity,” Zeng said. “Performance inconsistencies and communication protocol disparities across different chip architectures would elevate O&M [operations and maintenance] overhead and introduce additional network latency.” However, the approvals are unlikely to close the gap with US hyperscalers, Zeng said, noting that the H200 remains one generation behind Nvidia’s Blackwell architecture and that approved volumes fall well short of China’s overall demand. Implications for global enterprises For global enterprise IT and network leaders, the move adds another variable to long-term AI infrastructure planning. Expanded sales of Nvidia’s H200 chips could help the company increase production scale, potentially creating room to ease pricing for Western enterprises deploying H200-based AI infrastructure, said Neil Shah, VP for research at Counterpoint Research.

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Nuclear safety rules quietly rewritten to favor AI

‘Referee now plays for the home team’ Kimball pointed out that while an SMR works on the same principle as a large-scale nuclear plant, using controlled fission to generate heat which is then converted to electricity, its design reduces environmental impacts such as groundwater contamination, water use, and the impact in the event of failure. For example, he said, the integral reactor design in an SMR, with all components in a single vessel, eliminates external piping. This means that accidents would be self-contained, reducing the environmental impact. In addition, he said, SMRs can be air-cooled, which greatly reduces the amount of water required. “These are just a couple of examples of how an SMR differs from the large industrial nuclear power plants we think of when we think of nuclear power.”  Because of differences like this, said Kimball, “I can see where rules generated/strengthened in the post-Three Mile Island era might need to be revisited for this new nuclear era. But it is really difficult to speak to how ‘loose’ these rules have become, and whether distinctions between SMRs and large-scale nuclear plants comprise the majority of the changes reported.” Finally, he said, “I don’t think I need to spend too many words on articulating the value of nuclear to the hyperscale or AI data center. The era of the gigawatt datacenter is upon us, and the traditional means of generating power can’t support this insatiable demand. But we have to ensure we deploy power infrastructure, such as SMRs, in a responsible, ethical, and safe manner.”  Further to that, Gogia pointed out that for CIOs and infrastructure architects, the risks extend well beyond potential radiation leaks. “What matters more immediately is that system anomalies — mechanical, thermal, software-related — may not be documented, investigated, or escalated with the diligence one would expect from

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Mplify launches AI-focused Carrier Ethernet certifications

“We didn’t want to just put a different sticker on it,” Vachon said. “We wanted to give the opportunity for operators to recertify their infrastructure so at least you’ve now got this very competitive infrastructure.” Testing occurs on live production networks. The automated testing platform can be completed in days once technical preparation is finished. Organizations pay once per certification with predictable annual maintenance fees required to keep certifications active. Optional retesting can refresh certification test records. Carrier Ethernet for AI The Carrier Ethernet for AI certification takes the business certification baseline and adds a performance layer specifically designed for AI workloads. Rather than creating a separate track, the AI certification requires providers to first complete the Carrier Ethernet for Business validation, then demonstrate they can meet additional stringent requirements. “What we identified was that there was another tier that we could produce a standard around for AI,” Vachon explained. “With extensive technical discussions with our membership, our CTO, and our director of certification, they identified the critical performance and functionality parameters.” The additional validation focuses on three key performance parameters: frame delay, inter-frame delay variation, and frame loss ratio aligned with AI workload requirements. Testing uses MEF 91 test requirements with AI-specific traffic profiles and performance objectives that go beyond standard business service thresholds. The program targets three primary use cases: connecting subscriber premises running AI applications to AI edge sites, interconnecting AI edge sites to AI data centers, and AI data center to data center interconnections.

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Gauging the real impact of AI agents

That creates the primary network issue for AI agents, which is dealing with implicit and creeping data. There’s a singular important difference between an AI agent component and an ordinary software component. Software is explicit in its use of data. The programming includes data identification. AI is implicit in its data use; the model was trained on data, and there may well be some API linkage to databases that aren’t obvious to the user of the model. It’s also often true that when an agentic component is used, it’s determined that additional data resources are needed. Are all these resources in the same place? Probably not. The enterprises with the most experience with AI agents say it would be smart to expect some data center network upgrades to link agents to databases, and if the agents are distributed away from the data center, it may be necessary to improve the agent sites’ connection to the corporate VPN. As agents evolve into real-time applications, this requires they also be proximate to the real-time system they support (a factory or warehouse), so the data center, the users, and any real-time process pieces all pull at the source of hosting to optimize latency. Obviously, they can’t all be moved into one place, so the network has to make a broad and efficient set of connections. That efficiency demands QoS guarantees on latency as well as on availability. It’s in the area of availability, with a secondary focus on QoS attributes like latency, that the most agent-experienced enterprises see potential new service opportunities. Right now, these tend to exist within a fairly small circle—a plant, a campus, perhaps a city or town—but over time, key enterprises say that their new-service interest could span a metro area. They point out that the real-time edge applications

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Photonic chip vendor snags Gates investment

“Moore’s Law is slowing, but AI can’t afford to wait. Our breakthrough in photonics unlocks an entirely new dimension of scaling, by packing massive optical parallelism on a single chip,” said Patrick Bowen, CEO of Neurophos. “This physics-level shift means both efficiency and raw speed improve as we scale up, breaking free from the power walls that constrain traditional GPUs.” The new funding includes investments from Microsoft’s investment fund M12 that will help speed up delivery of Neurophos’ first integrated photonic compute system, including datacenter-ready OPU modules. Neurophos is not the only company exploring this field. Last April, Lightmatter announced the launch of photonic chips to tackle data center bottlenecks, And in 2024, IBM said its researchers were exploring optical chips and developing a prototype in this area.

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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