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Top data storage certifications to sharpen your skills

Organization: Hitachi Vantara Skills acquired: Knowledge of data center infrastructure management tasks automation using Hitachi Ops Center Automator. Price: $100 Exam duration: 60 minutes How to prepare: Knowledge of all storage-related operations from an end-user perspective, including planning, allocating, and managing storage and architecting storage layouts. Read more about Hitachi Vantara’s training and certification options here. […]

  • Organization: Hitachi Vantara
  • Skills acquired: Knowledge of data center infrastructure management tasks automation using Hitachi Ops Center Automator.
  • Price: $100
  • Exam duration: 60 minutes
  • How to prepare: Knowledge of all storage-related operations from an end-user perspective, including planning, allocating, and managing storage and architecting storage layouts.

Read more about Hitachi Vantara’s training and certification options here.

Certifications that bundle cloud, networking and storage skills

AWS Certified Solutions Architect – Professional

The AWS Certified Solutions Architect – Professional certification from leading cloud provider Amazon Web Services (AWS) helps individuals showcase advanced knowledge and skills in optimizing security, cost, and performance, and automating manual processes. The certification is a means for organizations to identify and develop talent with these skills for implementing cloud initiatives, according to AWS.

The ideal candidate has the ability to evaluate cloud application requirements, make architectural recommendations for deployment of applications on AWS, and provide expert guidance on architectural design across multiple applications and projects within a complex organization, AWS says. Certified individuals report increased credibility with technical colleagues and customers as a result of earning this certification, it says.

  • Organization: Amazon Web Services
  • Skills acquired: Helps individuals showcase skills in optimizing security, cost, and performance, and automating manual processes
  • Price: $300
  • Exam duration: 180 minutes
  • How to prepare: The recommended experience prior to taking the exam is two or more years of experience in using AWS services to design and implement cloud solutions

Cisco Certified Internetwork Expert (CCIE) Data Center

The Cisco CCIE Data Center certification enables individuals to demonstrate advanced skills to plan, design, deploy, operate, and optimize complex data center networks. They will gain comprehensive expertise in orchestrating data center infrastructure, focusing on seamless integration of networking, compute, and storage components.

Other skills gained include building scalable, low-latency, high-performance networks that are optimized to support artificial intelligence (AI) and machine learning (ML) workloads; and the ability to use automated solutions, programming concepts, and automated tools for programmable data center fabrics. The program includes two required exams.

  • Organization: Cisco
  • Skills acquired: Plan, design, deploy, operate, and optimize complex data center networks
  • Price: $400 for first exam, $1,600 for second
  • Exam duration: 120 minutes for first, eight hours for second
  • How to prepare: No formal prerequisites necessary

Microsoft Certified: Azure Administrator Associate

Candidates for the Microsoft Certified: Azure Administrator Associate certification should have subject matter expertise in implementing, managing, and monitoring an organization’s Azure environment, including, virtual networks, storage, compute, security, and governance. They should be familiar with operating systems, networking, servers, and virtualization.

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Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

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CompTIA unveils AI prompting certification

IT training and certification provider CompTIA launched a new certification designed to help professionals develop and enhance artificial intelligence skills in prompt writing, AI collaboration, and the responsible use of AI. The AI Prompting Essentials certification program can help professionals learn how to identify tasks best suited to AI and

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VMware Explore preview: Customers are looking for VCF value

“This year’s VMware Explore theme, ‘Simplify Your Cloud. Architect Your Future,’ speaks to where we see customers going,” said Broadcom in a statement to Network World. “Customers are struggling with cloud complexity, AI adoption, and security demands – all at once. VMware Explore 2025 aims to provide them with the

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Halliburton to Provide Well Stimulation Services for ConocoPhillips

Halliburton said it was awarded a contract to deliver comprehensive well stimulation services to ConocoPhillips Skandinavia AS to improve well performance and reservoir productivity. The contract spans five years and includes three optional extension periods, Halliburton said in a news release. Financial terms of the contract were not disclosed. Under

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Chevron to Merge Hess Exploration Team With Its Own, Wirth Says

Chevron Corp. plans to merge Hess Corp.’s exploration team with its own to challenge “conventional thinking” and make new discoveries, Chief Executive Officer Mike Wirth in an interview on Bloomberg TV’s Wall Street Week.  Chevron is cutting about 650 Hess jobs after completing its $53 billion takeover last month, but exploration is one area likely to be spared.  “We’re going to bring their talent, their experience, their insights and blend it with ours,” Wirth said. Chevron will have “a stronger team as we move forward to challenge some of our conventional thinking.” Chevron’s exploration team has struggled to find new discoveries in recent years. A highly-anticipated well in Namibia failed to find oil and gas this year. Wirth declared himself “not happy” with the team’s results on the company’s last earnings call earlier this month and vowed to make changes.  Hess, spurred on by its geologists, bought a 30% stake in Guyana’s Stabroek Block just months before Exxon Mobil Corp. drilled its first well, leading to the biggest oil discovery in a generation. The block now has 11 billion barrels of recoverable resource, and was the main reason why Chevron bought Hess in its largest-ever deal.  “Hess has some very talented people in exploration who’ve been quite involved in the identification and appraisal of the resource in Guyana,” Wirth said.  Chevron has several exploration targets in South America, West Africa and the Eastern Mediterranean. It plans to drill an exploration well in Suriname well later this year.   WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed.

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Arizona regulators begin process to repeal state’s renewable standard

Dive Brief: Arizona regulators voted unanimously on Thursday to begin the process of repealing the Renewable Energy Standard and Tariff rules, known as REST, which required electric utilities to deliver 15% renewable energy by 2025.  The rule was set by the Arizona Corporation Commission in 2006 and its targets have already been surpassed by the state’s major regulated utilities. Regulators say the REST rule drives up energy costs and is unnecessary, but advocates contend Arizona’s growth and rising electricity demand have kept the requirements relevant.  Arizona Public Service had an energy portfolio of about 19% renewable energy sources in 2024, according to the commission; Tucson Electric Power reported its energy portfolio was about 29% renewable that year. Dive Insight: The debate over Arizona’s REST rules comes as APS, the state’s largest electric utility, has backed away from its pledge to go carbon free by 2050. “The company is updating its clean energy goals from an aspirational ‘zero-carbon’ approach to an aspirational ‘carbon-neutral’ approach by 2050,” parent company Pinnacle West said in second quarter earnings released Aug. 6.  “Our mission is to reliably serve customers at the lowest cost possible. To do that, we need to integrate the most reliable and cost-effective resources available to us to meet Arizona’s fast-growing energy needs,” said Pinnacle West Chairman, President and CEO Ted Geisler. Energy demand is rising quickly in Arizona. Three utilities set new peak demand records earlier this month. Arizona regulators say cost concerns are at the heart of their efforts to repeal the REST rules. The commission estimated the requirements have added approximately $2.3 billion to Arizona customer bills since 2006. “Utilities should have the flexibility to choose the most cost-effective energy mix to deliver reliable, affordable service — without being burdened by government-imposed rules that ultimately increase costs for customers,” Vice Chair Nick

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Coastal Bend LNG, Solvanic Begin Carbon Capture FEED

Coastal Bend LNG LLC and Solvanic Inc. have kick-started a front-end engineering and design (FEED) study for electrochemically mediated amine regeneration (EMAR) carbon capture at the Coastal Bend liquefied natural gas (LNG) facility. Solvanic has signed an option agreement for use of the EMAR technology, originally developed by Professor T. Alan Hatton’s research group at the Massachusetts Institute of Technology (MIT) Department of Chemical Engineering, Coastal Bend LNG said in a media release. The technology utilizes an electrochemical method to release carbon dioxide (CO2) captured by amines using electricity, rather than the traditional high-temperature steam used in thermal amine systems, the LNG developer said. This novel approach lowers energy consumption and capital costs for carbon capture, offering greater flexibility across various operating conditions and scales, it claimed. “To deliver on our ambitious low-carbon-intensity LNG goals, we need to capture carbon dioxide emissions from both our natural gas pretreatment and cogeneration facilities”, Nick Flores, Chief Executive Officer of Coastal Bend LNG, said. “For post-combustion capture on our onsite cogeneration facilities, we need a step change in carbon capture efficiency. We’re highly encouraged by Solvanic’s preliminary techno-economics and are keen to accelerate their technology readiness with this FEED study”. Researchers Dr. Michael Massen-Hane and Dr. Michael Nitzsche co-founded Solvanic to commercialize the technology. “We have demonstrated our EMAR solution to Technology Readiness Level 4 with low energetics, high stability, and modular scalability across emission sources”, Nitzsche, Chief Technology Officer at Solvanic, said. “This FEED study accelerates our techno-economic analyses for gas processing and post-combustion carbon capture with the full engineering support of Coastal Bend LNG and their contractors”. “We are leveraging over a decade of electrochemical carbon capture research and development at MIT via this option agreement”, Massen-Hane, Chief Executive Officer of Solvanic, added. To contact the author, email [email protected] WHAT DO

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BKH, NWE to Form Company With $15.4B Enterprise Value

Black Hills Corp (NYSE: BKH) and NorthWestern Energy Group Inc (Nasdaq: NWE) have announced in a joint statement that each company’s board of directors has unanimously approved a definitive agreement to combine in an all-stock, tax-free merger. The companies outlined in the statement that the merger “will create a premier regional regulated electric and natural gas utility company with a pro forma market capitalization of approximately $7.8 billion and a combined enterprise value of $15.4 billion, based on each company’s closing stock price as of August 18, 2025”. The joint statement outlined that the deal has a “compelling strategic and financial rationale” and “deliver[s]… benefits to all stakeholders”. Under the terms of the agreement, NorthWestern shareholders will receive a fixed exchange ratio of 0.98 shares of Black Hills for each share of NorthWestern they own at the close of the transaction, the statement noted. “The exchange ratio implies an approximately four percent premium based on the volume weighted average price of each company’s common stock since Black Hills and NorthWestern began discussing transaction terms in March 2025,” the companies added in the joint statement. Black Hills shareholders will continue to hold the same number of shares of the combined company that they hold of Black Hills immediately prior to the closing of the transaction, according to the statement, which noted that, upon completion of the merger, Black Hills shareholders will own approximately 56 percent and NorthWestern shareholders will own approximately 44 percent of the combined company on a fully diluted basis. The transaction is expected to close in 12 to 15 months, subject to customary closing conditions, clearance under the Hart-Scott Rodino Act, approval from each company’s shareholders, and regulatory approvals, including approval from commissions in the three states in which both companies operate (Montana, Nebraska, South Dakota) and in

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DOI Sets Nearly 40 Oil and Gas Auctions in US Gulf, Cook Inlet through 2040

The United States Department of Energy on Tuesday released a 2025-40 schedule for oil and gas area auctions consisting of at least 30 bidding rounds for the Gulf of America and at least six for Alaska’s Cook Inlet. “The predictable schedule meets the law’s requirements while advancing the Trump administration’s priorities of growing the economy, reducing dependence on foreign energy and keeping America a global energy leader”, DOI said in a statement on its website, referring to the One Big Beautiful Bill, signed into law July 4. The first auction under the law is set for December 10, involving only the Gulf of America. Next year will see at least three auctions for the Gulf of America, scheduled for March and August, and Cook Inlet, scheduled for March. “The inclusion of at least 30 lease sales in the Gulf of America underscores the region’s indispensable role in America’s energy ecosystem, accounting for roughly 14-15 percent of U.S. crude oil production and serving as the linchpin of offshore energy output”, DOI said. “These scheduled sales offer the oil and gas sector much-needed clarity and stability, encouraging continued investment in deepwater infrastructure, which is foundational to national energy resilience. “The Gulf supports hundreds of thousands of jobs, contributes tens of billions to GDP annually and generates substantial federal and state revenues. The economic and energy-security gains from these sales are both immediate and long-lasting.  “Alaska plays a vital role in America’s energy future, and Cook Inlet, along Alaska’s south-central coast near Anchorage, is at the center of that opportunity. By including six lease sales in Cook Inlet through 2032, the plan ensures Alaskans benefit from new jobs, stronger local economies and long-term investment in their communities. “Alaska’s unique position as both a strategic energy hub and a gateway to the Arctic makes

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Public EV fast charging poised for ‘robust’ growth: WoodMac

U.S. electric vehicle sales continue to grow and the charging market outlook remains strong despite federal policy headwinds, according to Wood Mackenzie. The sector is showing “resilience despite challenges,” the firm said Tuesday in its EV charging infrastructure forecast. The U.S. public DC fast charger segment will grow at a “robust” 14% compound annual rate through 2040, WoodMac said, to reach 475,000 ports and generate $3.3 billion in annual market value. Globally, WoodMac anticipates EV charging ports will increase at 12.3% annually from 2026 to 2040, reaching 206.6 million ports. “As utilization in public charging increases and infrastructure efficiency improves, we expect the ratio of EVs to public chargers to increase from 7.5 battery electric vehicles per charger in 2025 to 14.2 in 2040,” Oliver McHugh, senior EV charging research analyst for Wood Mackenzie, said in a statement. U.S. federal policy was supportive of electric vehicles under President Joe Biden, who oversaw development of the $5 billion National Electric Vehicle Infrastructure formula program designed to build a public fast charger network. Biden also extended a $7,500 tax credit for EV purchases. These incentives, plus new tailpipe emissions that would force manufacturers to produce more electric models, were intended to help meet Biden’s goal of having half of new vehicle sales be an EV by 2030. President Donald Trump has largely opposed the EV transition. The tax and policy bill he signed in July eliminates the EV purchase credit after September. The Trump administration has also moved to weaken or eliminate vehicle emissions standards, and it put the NEVI program on hold for six months, though it has recently been revived. The U.S. Department of Transportation on Aug. 11 issued new NEVI guidance, with changes to make the program more efficient. EV advocates cheered the “greater flexibility” for states and “regulatory certainty” around funding

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HPEJ, JHPE or what?

The problem is that less than one-eighth of enterprises said that they believed HPE could justify the Juniper deal simply by having HPE salespeople sell Juniper gear. We can take JHPE off the table. But not the Mist influence. Nearly all the enterprises who offered comments on the deal want to see HPE expand Mist to include HPE management, becoming an element in a “full-stack observability” strategy, creating our “Mist4All” name. Three dozen told me that their sales team had suggested this would happen, but interestingly, none who also talked with HPE or Juniper executives said they repeated that promise. HPE’s problem is that only 11 of over 250 enterprises said a move to offer integrated AI observability would even make them consider switching from Cisco to the new company. The problem with vendor-specific observability like Mist4All is that you can’t introduce it incrementally; you need to fork-lift. Only one-fifth of enterprises thought HPE could justify the deal by integrating their own operations tools with Mist. Forget Mist4All, too. Which brings us to HPEJ. I don’t think there’s any question that the biggest driver in how the new venture positions itself is AI. AI is also the most likely near-term driver of incremental data center deployment, both among enterprises and among service providers, something Juniper’s AI-Native positioning aims to exploit and that competitors like Cisco and Extreme are countering. And, of course AI data centers obviously need servers, so HPE has its own interests here. That’s what creates the HPEJ/JHPE tension, but can shareholder value and customer interest be created by simply doubling down on what the companies were doing separately? Three enterprises who use both HPE and Juniper gear enough to get significant account attention from both say that Juniper’s people push AI hosting more than HPE does. Nobody

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Google bets on non-water-cooled nuclear reactors for data centers

The Nuclear Regulatory Commission approved construction of the Oak Ridge facility in November 2024, marking the first non-water-cooled reactor permitted in the US in more than 50 years. Kairos Power planned to increase the Hermes 2 reactor’s output from an originally planned 28 megawatts to 50 megawatts, with operations scheduled to begin in 2030. Google’s agreement extended to up to 500 megawatts of Kairos reactors by 2035, the statement added. Enterprise power crunch drives nuclear innovation The technology breakthrough comes at a critical time for enterprises facing explosive electricity demands from artificial intelligence operations. Data center electricity use rose from 58 terawatt-hours in 2014 to 176 TWh in 2023, and could reach between 325 and 580 TWh by 2028, according to Department of Energy projections. For context, a single graphics processing unit used for AI can consume as much electricity as a four-person household uses daily. Unlike renewable energy sources, nuclear reactors provide constant baseload power regardless of weather conditions — critical for data centers that operate around the clock. Google said it needed the nuclear power to support data centers in Montgomery County, Tennessee, and Jackson County, Alabama. The 50-megawatt output equals the electricity consumption of about 36,000 homes. “To power the future, we need to grow the availability of smart, firm energy sources,” Amanda Peterson Corio, Google’s global head of data center energy, said in the statement.

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Despite the hubbub, Intel is holding onto server market share

Server CPU shipments were “uninteresting,” as he put it, on a sequential basis, with neither supplier seeing much growth on quarter after last quarter’s atypical increase. On-year, the server market was up significantly but that’s because a year ago, the segment was near its cyclical lows and dealing with inventory adjustments. “Intel was able to sustain volumes in total server unit shipments by moving shipments to non-data center products, such as Xeon D in networking/storage servers, which they noted in their earnings call. That comes at a price; those products have much lower ASPs, so lower revenues, which is why Intel’s DCAI revenues were lower when units were flat,” McCarron told Network World. “Nothing really moves that fast in servers, and in general a ‘freefall’ can’t really happen outside of some systemic demand collapse event like 2008 was, as the rest of the industry realistically can’t absorb market share at an unlimited rate due to supply chain considerations,” he added. AMD’s server revenues hit a record high, but most of the revenue gains was from selling a higher mix of its new Turin core CPUs, and unit shipment growth was very modest. However, even with a 0.1-point increase in share, that means a new record high in AMD server sales. It now has 37.2% market share. Excluding IoT/SoC embedded products from consideration, Intel’s shipments slightly outgrew AMDs in the quarter resulting in Intel having a modest sequential share increase thanks in part to mobile CPU shipments, where Intel has solid products. AMD made a slight gain in desktops, where it is particularly strong. As for Arm, it showed strength in the server market thanks to Nvidia’s GB200 processors ramping up volumes. On the client side, Apple had slightly higher shipments in the second but that was offset by weakness in

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Cisco’s 9% security growth is misleadingly low

AI infrastructure ahead of plan and growing Cisco reported more than $800 million in AI infrastructure orders from webscale customers in the fourth quarter, bringing the total for 2025 to more than $2 billion, which is over 2x what the company originally projected. This is a mix of its own Nexus switches, optics, AI PODs, UCS servers and Silicon One. Success here is critical for Cisco, as at one time, the company had next to no business with the hyperscalers. The development of Silicon One was pivotal in Cisco’s success with this audience, as it’s given them market leading price performance. Cisco has also cultivated a partnership with Nvidia and is the only company to have its silicon integrated into the GPU maker’s Spectrum-X product. There is another wave of business coming for Cisco in this area selling AI infrastructure to non-hyperscalers. Robbins talked about this: “The Cisco Secure AI Factory with Nvidia provides a blueprint for building AI-ready data centers for enterprises, sovereign cloud providers and newly emerging neocloud providers. We expect the sovereign AI opportunity to build momentum in the second half of fiscal year ’26.” AI will drive campus upgrades Most of the focus of network growth in AI has been in the data center, as that’s where the growth has been. However, the traffic agentic AI creates will drive campus upgrades as well. On the call, Cisco showed a chart of traffic generated by chatbots pre and post agentic, and it shows Cisco is expecting agentic to drive a consistent level of traffic that most networks are not able to handle. Robbin explained: “Network traffic will not only increase beyond the peaks of current chatbot interaction but will remain consistently high with agents in constant interaction.” The impact of this is twofold. The bump in traffic

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Nvidia targets data center with new servers, AI software

More Nvidia news from SIGGRAPH The RTX Pro server wasn’t the only news at the show. Nvidia also announced two new models of its Nemotron model family – the Nemotron Nano 2 and Llama Nemotron Super 1.5 – with advanced reasoning capabilities for building smarter AI agents. Nemotron is a family of enterprise-ready, open large language models (LLM) designed to enhance agentic AI for tasks requiring sophisticated reasoning, instruction following, coding, tool use, and multimodal (text+vision) understanding. These models deliver high accuracy for their relative size in areas such as scientific reasoning, coding, tool use, instruction following and chat, according to Nvidia. They are designed to imbue AI agents with deeper cognitive abilities and help AI systems explore options, weigh decisions and deliver results within defined constraints. Nvidia claims Nemotron Nano 2 achieves up to six times higher token generation throughput compared to other models its size. Llama Nemotron Super 1.5 offers top-tier performance and leads in reasoning accuracy, making it suitable for handling complex enterprise tasks. Also, Nvidia is empowering robotics and machines to “see” and react to what they see with new AI models that can ingest visual information and think about said information. The vendor just announced Cosmos Reason, a new open, customizable 7 billion-parameter reasoning Vision Language Models, or VLMs. VLMs allow robots and vision agents to think about what they see, just like a human. Up to now, robots have had the ability to “see,” but their reaction to what they saw was extremely limited. A VLM provides robotics with the ability to think about their actions.

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Cisco Q4 results: AI infrastructure orders surpass goal

Adding a little more color to the enterprise results, Robbins called out some of Cisco’s network modernization offerings for customers. “We’ve got [our] routing refresh, we’ve got a lot of new technology in our data center networking business … we have Wi-Fi 7 gear, which grew triple digits year over year. We’re in year eight of the [Catalyst 9000] offering, and honestly, if you look at products that were pre-[Catalyst 9000] that are still installed in our customer base, there’s tens of billions of dollars of install base there that we can go after,” Robbins said. Demand for AI infrastructure will extend to enterprises, Robbins said: “If you think about the AI revolution…We tend to see these things begin first in the cloud providers, which we’re clearly seeing the AI play in the cloud providers. Then we see it shift into the enterprise. We see a shift in the back end, in this case, from the back end to the front end. We believe that will occur as enterprises start using more of these services, and then enterprises will also build out inferencing… and we’re even seeing the telco business actually pick up as they’re telling us they’re increasing their network capacity and they’re modernizing their infrastructure in preparation for AI. So, we think AI is going to drive network modernization across all of these segments.” Taking aim at security Overall security order growth in Q4 was up double digits, Robbins said. “We have 80 new Hypershield customers, largely connected to this new smart switch [the N9300 Smart Switch]. So that strategy is working. And I would say that we had 480-plus new SSE customers during the quarter. So that’s our secure services edge [which] is really getting good traction. Robbins singled out the demand for integrated networking and security

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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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