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What Keeps Data Centers and Their Utility Partners Up at Night: The Power Problem

AI has the potential to revolutionize how we manage the grid, marking a transformative shift in how utilities optimize operations, enhance reliability, and meet evolving consumer demands. Through the deployment of AI-driven algorithms and predictive analytics, utilities can anticipate grid dynamics, optimize energy flows, and proactively address challenges in real time. The integration of AI […]

AI has the potential to revolutionize how we manage the grid, marking a transformative shift in how utilities optimize operations, enhance reliability, and meet evolving consumer demands. Through the deployment of AI-driven algorithms and predictive analytics, utilities can anticipate grid dynamics, optimize energy flows, and proactively address challenges in real time. The integration of AI with cloud infrastructure further enhances efficiency and performance, enabling utilities to leverage vast amounts of data from diverse sources, including weather data, edge data, and advanced metering systems (AMS). 

By leveraging machine learning and analytics to merge and assess data streams and sensored information, utilities can unlock new levels of efficiency and performance. The challenges of our power needs are so complex that a system will be best utilized to process the various permutations and uncertainties; this will need to be a highly sophisticated predictive tool, but if properly developed it can enhance grid equipment lifespans, apply data-driven decision making, identify issues quickly, and reduce unplanned downtime. 

Utilities are increasingly recognizing the importance of leveraging AI to gain intimate insights into their customers’ energy needs and behaviors, allowing them to prepare for future power demands effectively. From improving customer experiences through innovative applications to reimagining day-to-day operations with self-healing grid technology, utilities are embracing AI to drive digital transformation and move beyond their traditional roles. This data-driven approach not only optimizes grid performance but also enhances customer experiences and drives digital transformation within the industry.

Strategic Grid Planning for Looming Demand

Part of the planning that worries them most is not just how to supply power to more data centers. At least data centers clue our local utilities in on our upcoming needs. Electric vehicles are altogether unpredictable, except for areas that have seen regulatory timelines enforced. They also tend to flock together, with charging stations handling many at a time. More than just consumer use, they have potential fleets being converted in bulk.

The proliferation of electric vehicles as well as data centers presents both challenges and opportunities for grid planners. Word on the street is that electrification of the transportation market will double energy usage in 10 years and lead to an 800% increase over the next 20 years. That’s the load that has them most worried, and calculating how many electric vehicles they can handle. They need to get uncomfortably close to what consumers and businesses are going to want in the future to predict and plan for this demand. 

Strategic grid planning is essential to accommodate the surge in electricity demand while ensuring reliability and stability. Utilities are exploring innovative solutions such as smart charging infrastructure, vehicle-to-grid integration, and energy storage to manage peak demand and optimize resource utilization. With the exponential growth of EVs and data centers, grid planning has never been more critical. We must invest in scalable and resilient infrastructure to support this electrified future.

Embracing the Grid Edge and Prosumer Movement

The emergence of the prosumer movement and the evolution of the grid edge are reshaping the traditional utility-consumer relationship, transforming consumers from passive recipients to active participants in the energy transition. This shift is driven by the proliferation of rooftop solar, home energy storage, and distributed energy resources (DERs), highlighting the importance of grid-edge innovations and community energy initiatives.

Consumers are no longer merely consumers; they are prosumers actively shaping the energy landscape. Utilities must adapt to this transformation and empower consumers to become active stakeholders in the energy transition. At the grid edge, where consumers interact directly with energy systems, better data quality, validity, and granularity are achieved, leading to low latency, high reliability, and scalability. This proximity to data sources enables predictive infrastructure and empowers citizens to be part of the solution.

The path to edge intelligence involves various components, including metrology for energy, demand, and power quality, as well as anomaly detection for outage, temperature, loose neutral, and tampering. Despite existing limitations in edge technology, such as firmware-driven systems and communication bottlenecks, rapid advancements in hardware, communication protocols, and software are driving progress. Software deployed at the edge is customizable, agile, and driven by an application mindset, leveraging more advanced algorithms, especially in machine learning.

Overcoming challenges at the edge requires leveraging technologies that enable robust networks capable of making informed decisions and identifying various devices, such as EVs, solar panels, batteries, and pump controls. This necessitates funneling and utilizing data effectively to empower consumers to make informed energy decisions and optimize energy usage. Despite the complexities introduced by IP addresses and evolving technologies, the focus remains on enabling consumers to actively participate in the energy transition while ensuring the reliability and scalability of grid-edge solutions. 

Renewable Energy Integration

Renewable energy integration is driving a significant transformation in the energy landscape, with solar and wind power playing increasingly prominent roles in the generation mix. Utilities are investing in renewable energy infrastructure, grid-scale energy storage, and innovative grid-edge technologies to maximize the potential of renewables and reduce carbon emissions.

With sustainability at the forefront of efforts, integrating renewable energy sources into the grid and leveraging advanced technologies are seen as crucial steps toward achieving environmental goals while ensuring reliability and affordability for customers. Last year, 84% of new installed capacity was renewables and storage, marking a substantial shift in the generation mix. Demand response, accounting for 60% of capacity, is becoming increasingly significant.

Orchestrating the energy transition requires flexible resources and demand-side capabilities, with virtual power plants (VPPs) emerging as cost-effective solutions. However, managing the transition poses challenges, particularly in forecasting net load, VPP capabilities, and battery capacity at scale. Artificial intelligence and machine learning are key applications that can help the industry navigate these transitions and keep moving forward.

Some companies are exploring off-grid solutions due to frustrations with traditional electricity networks. Off-grid technology, once frowned upon, is now considered a necessity for certain operations. Companies like Microsoft and Google are exploring options such as small nuclear plants and zero-emissions fusion power to power energy-intensive operations, although regulatory and land acquisition challenges remain significant hurdles in this endeavor.

Fostering Innovation and Scalability

In the midst of rapid change, utilities are recognizing the critical importance of innovation and scalability in navigating the evolving energy landscape. By fostering a culture of innovation, establishing strategic partnerships, and prioritizing scalability, utilities can unlock new opportunities for success and drive significant progress towards a smarter, more resilient grid.

To meet the challenges of tomorrow, it is essential to invest in cutting-edge technologies and scalable solutions. This proactive approach enables utilities to pioneer the power grid of the future while delivering tangible value to customers and communities alike.

As electrification continues to grow rapidly and new technologies emerge, such as nuclear energy, utilities are embracing innovative projects to enhance reliability and resiliency. For instance, there are some pretty cool utility-driven projects in my local area I’ve been following: Duke Energy’s floating solar project in South Florida and residential battery installations in neighborhoods like Hunter’s Creek exemplify the shift towards cleaner, more resilient energy solutions. Additionally, initiatives like the 100% green hydrogen project in DeBary, FL highlight the ongoing efforts to integrate renewable energy sources and drive sustainability forward.

Not Your Grandparents’ Power Grid

The pulse of energy shapes our present and affords our future. The job to be done itself has not changed over time: people need light and power. What has changed is the complexities that utility providers must navigate in the modern energy landscape: the convergence of AI, EV integration, grid-edge innovations, renewables, and scalable solutions are reshaping the trajectory of the power grid. By embracing these key themes and driving meaningful progress in each area, utilities can unlock new opportunities for growth, sustainability, and resilience, propelling the power grid into a new era of innovation and prosperity. 

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Chronosphere unveils logging package with cost control features

According to a study by Chronosphere, enterprise log data is growing at 250% year-over-year, and Chronosphere Logs helps engineers and observability teams to resolve incidents faster while controlling costs. The usage and volume analysis and proactive recommendations can help reduce data before it’s stored, the company says. “Organizations are drowning

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Cisco CIO on the future of IT: AI, simplicity, and employee power

AI can democratize access to information to deliver a “white-glove experience” once reserved for senior executives, Previn said. That might include, for example, real-time information retrieval and intelligent process execution for every employee. “Usually, in a large company, you’ve got senior executives, and you’ve got early career hires, and it’s

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AMI MegaRAC authentication bypass flaw is being exploitated, CISA warns

The spoofing attack works by manipulating HTTP request headers sent to the Redfish interface. Attackers can add specific values to headers like “X-Server-Addr” to make their external requests appear as if they’re coming from inside the server itself. Since the system automatically trusts internal requests as authenticated, this spoofing technique

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Israeli Gas Flows to Egypt Return to Normal as Iran Truce Holds

Israeli natural gas flows to Egypt returned to normal levels after a truce with Iran allowed the Jewish state to reopen facilities shuttered by the 12-day conflict. Daily exports have climbed to 1 billion cubic feet per day, according to two people with direct knowledge of the situation. That’s up from 260 million cubic feet when Israel’s Leviathan gas field, the country’s biggest, restarted on Wednesday, they said, declining to be identified because they’re not authorized to speak to the media.  The increased flows have let Egyptian authorities resume supplies to some factories that had been halted because of the shortages. Israel temporarily closed two of its three gas fields – Chevron-operated Leviathan and Energean’s Karish – shortly after launching attacks on Iran on June 13. The facilities that provided the bulk of exports to Egypt and Jordan resumed operations last week after a US-brokered ceasefire with the Islamic Republic took hold. The ramped-up supplies are a relief for Cairo, which has swung from a net exporter to importer of natural gas in recent years. As Israel and Iran traded blows, Egypt enacted contingency plans that included seeking alternative fuel purchases, limiting gas to some industries and switching power stations to fuel oil and diesel to maintain electricity output. What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is a new social experience created for you and all energy professionals to Speak Up about our industry, share knowledge, connect with peers and industry insiders and engage in a professional community that will empower your career in energy.

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California Regulator Wants to Pause Newsom Refinery Profit Cap

California’s energy market regulator is backing off a plan to place a profit cap on oil refiners in the state.  Siva Gunda, vice chair of the California Energy Commission, said during a Friday briefing that the cap would “serve as a deterrent” to refiners boosting investments in the state. Gunda said the commission wants to increase gasoline supply in California after two refineries announced plans to close in the next year, accounting for about one-fifth of the state’s crude-processing capacity. The recommendation marks a reversal from years of regulatory scrutiny by Governor Gavin Newsom and the California Energy Commission that contributed to plans by Phillips 66 and Valero Energy Corp. to shut their refineries. The closings prompted Newsom to adjust course in April and urge the energy regulator to collaborate with fuel makers to ensure affordable and reliable supply. Gunda wrote in a Friday letter to Newsom that the commission should pause implementation of a profit margin cap and focus on fuel resupply strategies instead. It comes more than two years after Newsom and state lawmakers gave the energy commission authority to determine a profit margin on refiners and impose financial penalties for violations. The state will be looking to increase fuel imports to make up for the loss of refining capacity, Gunda said. In the short term, California gas prices could rise 15 to 30 cents a gallon because of the loss of production, he said. A spokesperson for the energy commission said the estimated price increases would be mitigated by the plan presented on Friday. Californians already pay the highest gasoline prices in the country. Wade Crowfoot, secretary of the California Natural Resources Agency, said residents want the state to transition away from oil and gas yet they need to prevent cost spikes. “We get it,” he said.

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State utility regulators urge FERC to slash ROE transmission incentive

Utility regulators from about 35 states are urging the Federal Energy Regulatory Commission to sharply limit a 0.5% return on equity incentive the agency gives to utilities that join regional transmission organizations. “The time has come for the Commission to eliminate its policy of granting the RTO Participation Adder in perpetuity, if not to eliminate this incentive altogether,” the Organization of PJM States, the Organization of MISO States, the New England States Committee on Electricity and the Southwest Power Pool Regional State Committee said in a Friday letter to FERC. The state regulators and others contends the RTO incentive adds millions to ratepayer costs to encourage behavior — being an RTO member — that they would likely do anyway. In 2021, FERC proposed limiting its ROE adder to three years. FERC Chairman Mark Christie supports the proposal as well as limiting other incentives aimed at encouraging utilities to build transmission lines. However, it appears he has been unable to convince a majority of FERC commissioners to reduce those incentives. Christie’s term ends today, although he plans to stay at the agency until at least FERC’s next open meeting on July 24. Limiting the ROE incentive could reduce utility income. Public Service Enterprise Group, for example, estimates that removing the incentive would cut annual net income and cash inflows by about $40 million for its Public Service Electric & Gas subsidiary, according to a Feb. 25 filing at the U.S. Securities and Exchange Commission. The utility earned about $1.5 billion in 2024. Ending the incentive would reduce American Electric Power’s pretax income by $35 million to $50 million a year, the utility company said in its 2023 annual report with the SEC. In April, WIRES, a transmission-focused trade group, the Edison Electric Institute, which represents investor-owned utilities, and GridWise Alliance, a

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Affordability a ‘formidable challenge’ as load shifts to tech, industrial customers: ICF

Dive Brief: Keeping electricity affordable for consumers is a “formidable challenge” amid projections of declining generation capacity reserves and persistent uncertainty around the scale and pace of future load growth, ICF International Vice President of Energy Markets Maria Scheller said Thursday.  Meanwhile, broad policy uncertainty and an increasingly shaky regulatory environment give utilities and capital markets pause about expensive new infrastructure investments that could become stranded assets, Scheller said in a webinar on ICF’s “Powering the Future: Addressing Surging U.S. Electricity Demand” report. Policy conversations around import tariffs, federal energy tax credits and permitting reform are unfolding as the balance of electricity demand shifts from residential and business consumers to technology and industrial customers, which tend to require around-the-clock power, Scheller added. Dive Insight: The coming shift in U.S. electricity consumption represents less of a new paradigm than a return to the industrial-driven demand the country saw from the 1950s into the 1980s, after which deindustrialization and consumer-centric trends like the widespread adoption of air conditioning, electric resistance heating and personal computing shifted the balance toward the residential segment, Scheller said. The shift is important because unlike residential loads, which show considerable seasonal and intraday variation, industrial loads are flatter, less weather-dependent and more sensitive to voltage fluctuations, Scheller said. By 2035, ICF expects nearly 40% of total U.S. load will have a “flat, power-quality-sensitive profile,” and that overall load will grow faster than peak load, she said. In 2030, ICF projects more than 3% annual power consumption growth, compared with less than 2% annual peak load growth, according to a webinar slide. That’s not to say residential demand won’t also grow in the next few years as consumers electrify home heating and buy more electric vehicles — only that data centers and other industrial demand will “dwarf” it, Scheller

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Trump attacks on NRC independence pose health, safety risks

Edwin Lyman is director of nuclear power safety at the Union of Concerned Scientists. A White House executive order issued last month targeting the independence of the Nuclear Regulatory Commission, the federal agency that oversees the safety and security of U.S. commercial nuclear facilities and materials, as well as the possibly illegal firing earlier this month of Commissioner Christopher Hanson by President Donald Trump, are raising serious concerns about the agency’s effectiveness as a regulator going forward. While I’ve often been a critic of the NRC for taking actions favoring the nuclear industry at the expense of public health and safety, preserving the NRC in its current form is the best hope for heading off a U.S. nuclear plant disaster like the 2011 Fukushima Daiichi reactor meltdowns in Japan. My long-standing beef with the NRC has primarily been with its political leadership, not with the rank-and-file staff of highly knowledgeable inspectors, analysts and researchers committed to helping ensure that nuclear power remains safe and secure. These professionals are well aware how quickly things can go south at a nuclear power plant without rigorous oversight. They know from experience what obscure corners to look in and what questions to ask. And they can tell — and are not afraid to push back — when they are getting sold snake oil by fly-by-night startups looking to make easy money by capitalizing on the current nuclear power craze. Technical rigor and expert judgment form the bedrock of this work. But when staff are compelled to sweep legitimate safety concerns under the rug in the interest of political expediency, many will leave rather than compromise their scientific integrity. So there is little wonder that a wave of experienced personnel is headed out the door in the wake of the executive order on NRC “reform,”

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North America Loses Rigs Week on Week

North America dropped six rigs week on week, according to Baker Hughes’ latest North America rotary rig count, which was released on June 27. Although the U.S. dropped seven rigs week on week, Canada added one rig during the same timeframe, taking the total North America rig count down to 687, comprising 547 rigs from the U.S. and 140 rigs from Canada, the count outlined. Of the total U.S. rig count of 547, 533 rigs are categorized as land rigs, 12 are categorized as offshore rigs, and two are categorized as inland water rigs. The total U.S. rig count is made up of 432 oil rigs, 109 gas rigs, and six miscellaneous rigs, according to Baker Hughes’ count, which revealed that the U.S. total comprises 496 horizontal rigs, 38 directional rigs, and 13 vertical rigs. Week on week, the U.S. land rig count reduced by five, its offshore rig count decreased by two, and its inland water rig count remained unchanged, the count highlighted. The country’s oil rig count dropped by six, its gas rig count dropped by two, and its miscellaneous rig count increased by one, week on week, the count showed. The U.S. horizontal rig count dropped by six, its directional rig count dropped by two, and its vertical rig count increased by one, week on week, the count revealed. A major state variances subcategory included in the rig count showed that, week on week, Wyoming dropped five rigs, and Oklahoma, Louisiana, and Colorado each dropped one rig. A major basin variances subcategory included in Baker Hughes’ rig count showed that, week on week, the Granite Wash basin dropped one rig and the Permian basin dropped one rig. Canada’s total rig count of 140 is made up of 94 oil rigs and 46 gas rigs, Baker Hughes pointed

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Datacenter industry calls for investment after EU issues water consumption warning

CISPE’s response to the European Commission’s report warns that the resulting regulatory uncertainty could hurt the region’s economy. “Imposing new, standalone water regulations could increase costs, create regulatory fragmentation, and deter investment. This risks shifting infrastructure outside the EU, undermining both sustainability and sovereignty goals,” CISPE said in its latest policy recommendation, Advancing water resilience through digital innovation and responsible stewardship. “Such regulatory uncertainty could also reduce Europe’s attractiveness for climate-neutral infrastructure investment at a time when other regions offer clear and stable frameworks for green data growth,” it added. CISPE’s recommendations are a mix of regulatory harmonization, increased investment, and technological improvement. Currently, water reuse regulation is directed towards agriculture. Updated regulation across the bloc would encourage more efficient use of water in industrial settings such as datacenters, the asosciation said. At the same time, countries struggling with limited public sector budgets are not investing enough in water infrastructure. This could only be addressed by tapping new investment by encouraging formal public-private partnerships (PPPs), it suggested: “Such a framework would enable the development of sustainable financing models that harness private sector innovation and capital, while ensuring robust public oversight and accountability.” Nevertheless, better water management would also require real-time data gathered through networks of IoT sensors coupled to AI analytics and prediction systems. To that end, cloud datacenters were less a drain on water resources than part of the answer: “A cloud-based approach would allow water utilities and industrial users to centralize data collection, automate operational processes, and leverage machine learning algorithms for improved decision-making,” argued CISPE.

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HPE-Juniper deal clears DOJ hurdle, but settlement requires divestitures

In HPE’s press release following the court’s decision, the vendor wrote that “After close, HPE will facilitate limited access to Juniper’s advanced Mist AIOps technology.” In addition, the DOJ stated that the settlement requires HPE to divest its Instant On business and mandates that the merged firm license critical Juniper software to independent competitors. Specifically, HPE must divest its global Instant On campus and branch WLAN business, including all assets, intellectual property, R&D personnel, and customer relationships, to a DOJ-approved buyer within 180 days. Instant On is aimed primarily at the SMB arena and offers a cloud-based package of wired and wireless networking gear that’s designed for so-called out-of-the-box installation and minimal IT involvement, according to HPE. HPE and Juniper focused on the positive in reacting to the settlement. “Our agreement with the DOJ paves the way to close HPE’s acquisition of Juniper Networks and preserves the intended benefits of this deal for our customers and shareholders, while creating greater competition in the global networking market,” HPE CEO Antonio Neri said in a statement. “For the first time, customers will now have a modern network architecture alternative that can best support the demands of AI workloads. The combination of HPE Aruba Networking and Juniper Networks will provide customers with a comprehensive portfolio of secure, AI-native networking solutions, and accelerate HPE’s ability to grow in the AI data center, service provider and cloud segments.” “This marks an exciting step forward in delivering on a critical customer need – a complete portfolio of modern, secure networking solutions to connect their organizations and provide essential foundations for hybrid cloud and AI,” said Juniper Networks CEO Rami Rahim. “We look forward to closing this transaction and turning our shared vision into reality for enterprise, service provider and cloud customers.”

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Data center costs surge up to 18% as enterprises face two-year capacity drought

“AI workloads, especially training and archival, can absorb 10-20ms latency variance if offset by 30-40% cost savings and assured uptime,” said Gogia. “Des Moines and Richmond offer better interconnection diversity today than some saturated Tier-1 hubs.” Contract flexibility is also crucial. Rather than traditional long-term leases, enterprises are negotiating shorter agreements with renewal options and exploring revenue-sharing arrangements tied to business performance. Maximizing what you have With expansion becoming more costly, enterprises are getting serious about efficiency through aggressive server consolidation, sophisticated virtualization and AI-driven optimization tools that squeeze more performance from existing space. The companies performing best in this constrained market are focusing on optimization rather than expansion. Some embrace hybrid strategies blending existing on-premises infrastructure with strategic cloud partnerships, reducing dependence on traditional colocation while maintaining control over critical workloads. The long wait When might relief arrive? CBRE’s analysis shows primary markets had a record 6,350 MW under construction at year-end 2024, more than double 2023 levels. However, power capacity constraints are forcing aggressive pre-leasing and extending construction timelines to 2027 and beyond. The implications for enterprises are stark: with construction timelines extending years due to power constraints, companies are essentially locked into current infrastructure for at least the next few years. Those adapting their strategies now will be better positioned when capacity eventually returns.

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Cisco backs quantum networking startup Qunnect

In partnership with Deutsche Telekom’s T-Labs, Qunnect has set up quantum networking testbeds in New York City and Berlin. “Qunnect understands that quantum networking has to work in the real world, not just in pristine lab conditions,” Vijoy Pandey, general manager and senior vice president of Outshift by Cisco, stated in a blog about the investment. “Their room-temperature approach aligns with our quantum data center vision.” Cisco recently announced it is developing a quantum entanglement chip that could ultimately become part of the gear that will populate future quantum data centers. The chip operates at room temperature, uses minimal power, and functions using existing telecom frequencies, according to Pandey.

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HPE announces GreenLake Intelligence, goes all-in with agentic AI

Like a teammate who never sleeps Agentic AI is coming to Aruba Central as well, with an autonomous supervisory module talking to multiple specialized models to, for example, determine the root cause of an issue and provide recommendations. David Hughes, SVP and chief product officer, HPE Aruba Networking, said, “It’s like having a teammate who can work while you’re asleep, work on problems, and when you arrive in the morning, have those proposed answers there, complete with chain of thought logic explaining how they got to their conclusions.” Several new services for FinOps and sustainability in GreenLake Cloud are also being integrated into GreenLake Intelligence, including a new workload and capacity optimizer, extended consumption analytics to help organizations control costs, and predictive sustainability forecasting and a managed service mode in the HPE Sustainability Insight Center. In addition, updates to the OpsRamp operations copilot, launched in 2024, will enable agentic automation including conversational product help, an agentic command center that enables AI/ML-based alerts, incident management, and root cause analysis across the infrastructure when it is released in the fourth quarter of 2025. It is now a validated observability solution for the Nvidia Enterprise AI Factory. OpsRamp will also be part of the new HPE CloudOps software suite, available in the fourth quarter, which will include HPE Morpheus Enterprise and HPE Zerto. HPE said the new suite will provide automation, orchestration, governance, data mobility, data protection, and cyber resilience for multivendor, multi cloud, multi-workload infrastructures. Matt Kimball, principal analyst for datacenter, compute, and storage at Moor Insights & strategy, sees HPE’s latest announcements aligning nicely with enterprise IT modernization efforts, using AI to optimize performance. “GreenLake Intelligence is really where all of this comes together. I am a huge fan of Morpheus in delivering an agnostic orchestration plane, regardless of operating stack

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MEF goes beyond metro Ethernet, rebrands as Mplify with expanded scope on NaaS and AI

While MEF is only now rebranding, Vachon said that the scope of the organization had already changed by 2005. Instead of just looking at metro Ethernet, the organization at the time had expanded into carrier Ethernet requirements.  The organization has also had a growing focus on solving the challenge of cross-provider automation, which is where the LSO framework fits in. LSO provides the foundation for an automation framework that allows providers to more efficiently deliver complex services across partner networks, essentially creating a standardized language for service integration.  NaaS leadership and industry blueprint Building on the LSO automation framework, the organization has been working on efforts to help providers with network-as-a-service (NaaS) related guidance and specifications. The organization’s evolution toward NaaS reflects member-driven demands for modern service delivery models. Vachon noted that MEF member organizations were asking for help with NaaS, looking for direction on establishing common definitions and some standard work. The organization responded by developing comprehensive industry guidance. “In 2023 we launched the first blueprint, which is like an industry North Star document. It includes what we think about NaaS and the work we’re doing around it,” Vachon said. The NaaS blueprint encompasses the complete service delivery ecosystem, with APIs including last mile, cloud, data center and security services. (Read more about its vision for NaaS, including easy provisioning and integrated security across a federated network of providers)

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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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