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Aramco Pens $90B Deals with US Companies

Saudi Arabian Oil Co. (Aramco) on Thursday announced agreements and memorandums of understanding (MOUs) with United States companies spanning its operations from refining and liquefied natural gas (LNG) to artificial intelligence. The 34 deals have a potential value of about $90 billion, the state-owned oil giant said in an online statement. Earlier the White House […]

Saudi Arabian Oil Co. (Aramco) on Thursday announced agreements and memorandums of understanding (MOUs) with United States companies spanning its operations from refining and liquefied natural gas (LNG) to artificial intelligence.

The 34 deals have a potential value of about $90 billion, the state-owned oil giant said in an online statement. Earlier the White House announced $600 billion in committed investments from Saudi companies and a $142 billion agreement for U.S. arms sales to the kingdom – signed during President Donald Trump’s visit.

“Our US-related activities have evolved over the decades, and now include multi-disciplinary R&D [research and development], the Motiva refinery in Port Arthur, start-up investments, potential collaborations in LNG, and ongoing procurement”, Aramco president and chief executive Amin H. Nasser said.

“As Aramco pursues an ambitious value-driven growth strategy, we believe that aligning with world-class partners supports further development of our operations, strategic diversification of our portfolio, industrial innovation, and ongoing capability development within the Kingdom”.

During the dealmaking round, Aramco finalized an agreement to buy 1.2 million metric tons per annum (MMtpa) of LNG for 20 years from the fourth train of the under-construction Rio Grande LNG project in Brownsville, Texas. Owner NextDecade Corp. is seeking purchase commitments to be able to make an FID (final investment decision) on trains 4 and 5. NextDecade has so far approved three trains, which comprise phase 1 – out of eight planned for the project.

Aramco also progressed a heads of agreement with Sempra Infrastructure on Port Arthur LNG 2 into an MOU. Aramco plans to purchase 5 MMtpa for 20 years from the expansion project, which has yet to reach an FID. The MOU also provides for Aramco’s potential acquisition of a 25 percent interest.

A non-binding collaboration agreement between Aramco and Australia’s Woodside Energy Group Ltd. that was announced earlier on Wednesday, involving the Louisiana LNG project, was also part of the deals. Aramco plans to place an offtake and acquire a stake in the Gulf Coast project, whose phase 1 recently reached a final investment decision for a capacity of 16.5 MMtpa.

In Saudi Arabia, Exxon Mobil Corp. and Aramco inked an MOU to evaluate a “significant upgrade” of their SAMREF refinery, which processes over 400.000 barrels a day of Arabian light crude, into an integrated petrochemical complex.

Aramco also signed an MOU with its U.S.-based subsidiary Motiva Enterprises LLC for an aromatics project in Port Arthur, and another MOU with Honeywell International Inc. “related to technology licensing for an aromatics project”, Aramco said.

With Afton Chemical, Aramco signed MOUs “related to development and supply of chemical fuel additives in pipelines and retail fuel offerings”, it said.

On technology and innovation, Aramco signed an MOU with NVIDIA Corp. on “developing advanced Industrial AI computing infrastructure, establishing an AI Hub and AI Enterprise platforms, an Engineering and Robotics Center of Excellence, training and upskilling, and collaborating with NVIDIA’s startup ecosystem”.

A non-binding framework agreement has been signed with Amazon.com Inc. on digital transformation and lower-carbon initiatives.

Another MOU with Qualcomm “aims to explore entry into a strategic collaboration that will focus on key digital transformation use cases, leveraging Aramco Digital’s 450 MHz 5G industrial network to connect intelligent edge devices with on-device AI capabilities, including smartphones, rugged industrial devices, robots, drones, cameras, sensors, and other IoT [Internet of Things] devices”.

Aramco also signed MOUs to extend existing relationships with suppliers Air Products, Baker Hughes, Emerson, Flowserve, GE Vernova, Halliburton, Helmerich & Payne, Honeywell, KBR, McDermott, Nabors, NESR, NOV, SLB, Weatherford and Valaris. “These suppliers provide high-standard materials and professional services that help support Aramco’s projects and operations”, Aramco said.

On finance, Aramco signed agreements “for short-term cash investments through a unified investment fund, the ‘Fund of One,’ with BlackRock, Goldman Sachs, Morgan Stanley, and PIMCO”.

Aramco also signed wisayah asset management agreements with PIMCO, State Steel Corp. and Wellington.

Additionally Aramco signed an MOU with Guardian Glass to establish specialty glass manufacturing for architectural applications in Saudi Arabia.

To contact the author, email [email protected]

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New England Patriots kick off network upgrade

The longer-term roadmap with NWN includes a refresh of the stadium’s 1,800 Extreme Networks Wi-Fi 6 access points to either Wi-Fi 6E or 7, a refresh of the network’s 80 Cisco physical and virtual firewalls, followed by a network consolidation project. On top of all that, the Kraft Group is

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CompTIA cert targets operational cybersecurity skills

The SecOT+ certification will provide OT professionals with the skills to manage, mitigate, and remediate security risks in manufacturing and critical infrastructure environments, according to CompTIA. The certification program will provide OT positions, such as floor technicians and industrial engineers, as well as cybersecurity engineers and network architects on the

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NOAA stops tracking cost of extreme weather and climate disasters

Dive Brief: The National Oceanic and Atmospheric Administration announced Thursday its National Centers for Environmental Information would stop tracking the cost of extreme weather and climate disasters in its Billion Dollar Weather and Climate Disaster database. The product is being retired “in alignment with evolving priorities, statutory mandates, and staffing

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Network data hygiene: The critical first step to effective AI agents

Many network teams manage some 15 to 30 different dashboards to track data across all the components in an environment, struggling to cobble together relevant information across domains and spending hours troubleshooting a single incident. In short, they are drowning in data. Artificial intelligence tools—and specifically AI agents—promise to ease

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‘NSTA is failing in its primary objective at the country’s expense’ – Nobel Upstream

The UK is going to need oil and gas for decades to come. This has been recognised by the government and is plainly obvious for all to see. 84% of homes heat with gas, around one third of UK power generation is from gas-fired power stations, oil products are by far the leading source of transport fuel, and oil and gas are used to manufacture products ranging from fertilisers to telephones. Nobel Upstream, in concert with our trade association BRINDEX, have been making the case that the continuation of UK oil and gas production and exploration is in the national interest, delivering jobs, tax revenue and lower carbon footprint oil and gas supply. UK oil and gas production is regulated by the North Sea Transition Authority (NSTA), formerly known as the Oil and Gas Authority (OGA). The name changed in 2022 to mark “its evolving role in the energy transition,” but while its legal and central obligation to “maximise economic recovery” of oil and gas in the UK remained, the practice of this statutory duty did not. The NSTA no longer has a defined and disciplined cessation of production process to ensure economic recovery of oil and gas is maximised for the benefit of the country. This issue has significant implications for all existing production in the UK continental shelf. Gryphon FPSO Nobel Upstream launched a judicial review of the NSTA in August last year over its decision to allow the premature decommissioning of the Gryphon floating production storage and offloading (FPSO) vessel in the North Sea. For context, this vessel represented around 2% of UK oil and gas production in 2024. Nobel Upstream is a joint venture partner in the Maclure and Ballindalloch fields which flow into the vessel. The Gryphon area, including Maclure and Ballindalloch, was cash flow

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Shell records negative UK tax balance of $16.6m following Brent decommissioning

Shell has recorded a negative UK tax balance of $16.6 million (£12.5m) in 2024 after significant expenditure on the Brent Charlie decommissioning in the North Sea. The London-listed supermajor released a report which showed the company paid more than $28bn (£21bn) in taxes and fees to governments globally. The report relates to payments made by Shell to governments arising from activities relating to exploration and production. It excludes payments related to refining, natural gas liquefaction or gas-to-liquids activities, and as a result only reflects payments relating to Shell’s North Sea operations. Shell payments to government 2024 The payments to government report revealed the company claimed just over $32m ($24m) in tax rebates for expenses relating to “Brent and other Northern North Sea projects”. In the UK, costs related to decommissioning of offshore infrastructure are eligible for tax relief under the petroleum revenue tax (PRT). © ShellThe Brent Charlie during a storm in 1988. Shell removed the Brent Charlie platform from the North Sea in July last year in the end of an era for the iconic oil field, which gave its name to the Brent crude benchmark. Following its removal, the Allseas Pioneering Spirit heavy lift vessel transported the Brent Charlie topsides to the Able Seaton Port in Hartlepool. The amount of tax rebate Shell claimed in 2024 for Brent decommissioning was lower than the $43m (£32m) claimed in 2023. Alongside Brent decommissioning, Shell has also been developing its Penguins, Victory and Jackdaw developments in the Northern North Sea throughout 2024. While Shell’s UK subsidiary, Shell UK Ltd, made $15.5m (£11.7m) in tax payments in 2024, the significant project expenditure provided Shell with a negative tax balance. Alongside tax payments, Shell paid $11.3m (£8.5m) in fees to the North Sea Transition Authority regulator and around $128,000 (£98,000) to Crown Estate

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Baltic Neighbors Renew Commitment to EU Energy Integration

European Union Commissioner for Energy and Housing Dan Jørgensen and the energy ministers of the Baltic Energy Market Interconnection Plan (BEMIP) High-Level Group have signed a new memorandum of understanding (MOU) to intensify efforts to create a more unified energy market. “The parties pledged to work closely together in investing in and completing infrastructure projects and interconnections in the region”, the European Union said in an online statement. “They also committed to strengthening the internal energy market, promote energy efficiency while exploiting the growing potential of renewable energy”. Formed October 2008, BEMIP seeks to integrate the power and natural gas markets of countries surrounding the Baltic Sea with the EU. The High-Level Group consists of the European Commission and eight EU countries: Denmark, Estonia, Finland, Germany, Latvia, Lithuania, Poland and Sweden. Norway participates in the group as an observer. “Further efforts are ongoing in the region to ensure energy security and the security of energy infrastructure, complete the remaining projects linked to the synchronization of the 3 Baltic States with European networks, increase transmission capacity in the remote Nordic area, develop a regional decarbonized gas market, work towards the decarbonization of the gas systems in the region and make the most of the region’s energy efficiency and renewable energy potential, both onshore and offshore”, the Commission added. In February, Estonia, Latvia and Lithuania completely decoupled their electricity transmission systems from Russia and achieved synchronization with the continental European network via Poland. “As of today, Estonia, Latvia and Lithuania are fully independent from Russia’s and Belarus’s electricity systems”, the Commission, which has funded the synchronization project, confirmed February 9. Before desynchronization from Russia, the three countries’ power supply lines have already been connected to Finland via Estlink 1 and Estlink 2, Poland via LitPol Link and Sweden via NordBalt. However, Estonia, Latvia and Lithuania – formerly part

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EIA Raises USA Diesel Price Forecasts

In its latest short term energy outlook (STEO), which was released on May 6, the EIA raised its U.S. on-highway diesel fuel price forecast for 2025 and 2026. According to that STEO, the EIA expects the U.S. on-highway diesel fuel price to average $3.49 per gallon in 2025 and $3.54 per gallon in 2026. In its previous STEO, which was released in April, the EIA projected that the U.S. on-highway diesel fuel price would come in at $3.44 per gallon in 2025 and $3.53 per gallon in 2026. Both STEOs highlighted that the 2024 U.S. on-highway diesel fuel price averaged $3.76 per gallon. In its latest STEO, the EIA forecast that the U.S. on-highway diesel fuel price will come in at $3.50 per gallon in the second quarter of this year, $3.40 per gallon in the third quarter, $3.44 per gallon in the fourth quarter, $3.52 per gallon across the first and second quarter of next year, $3.55 per gallon in the third quarter, and $3.58 per gallon in the fourth quarter. In its April STEO, the EIA projected that the U.S. on-highway diesel fuel price would average $3.41 per gallon in the second quarter of this year, $3.30 per gallon in the third quarter, $3.41 per gallon in the fourth quarter, $3,51 per gallon in the first quarter of 2026, $3.49 per gallon in the second quarter, $3.53 per gallon in the third quarter, and $3.57 per gallon in the fourth quarter of next year. Both STEOs pointed out that the U.S. on-highway diesel fuel price averaged $3.63 per gallon in the first quarter of 2025. Current Price In its latest diesel fuel update, which was released on May 13, the EIA showed that the average U.S. on-highway diesel fuel price was $3.514 per gallon on April 28, $3.497

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A fraction of proposed data centers will get built. Utilities are wising up.

The U.S. grid is flooded with data center proposals that will never get built. That’s making it much more difficult for utilities and grid operators to plan for the future. “Conservatively, you’re seeing five to 10 times more interconnection requests than data centers actually being built,” said Astrid Atkinson, a former Google senior director of software engineering and now co-founder and CEO of grid optimization software provider Camus Energy. Even relatively short-term data center load growth forecasts are all over the map.  Last year, RAND Corporation’s “upper confidence” forecast projected 347 GW of AI-sector power consumption by 2030. But Schneider Electric called that prediction “extreme” in a whitepaper on AI’s potential grid impacts last month, which cited more down-to-earth forecasts — under 100 GW — from other reputable observers.  Schneider’s own 2030 AI power demand scenarios range from 16.5 GW to 65.3 GW, with 33.8 GW the optimal outcome under a sustainable AI framework that balances AI growth with grid stability. The wild divergence in near-term AI power demand forecasts hints at a fundamental challenge facing utilities, grid operators and power system regulators today: speculative load interconnection requests, or what Bianca Giacobone of Latitude Media in March called “phantom data centers.” Experts like Atkinson advise power system stakeholders to take utility forecasts, like Exelon’s expectation for 11 GW of “high-probability” data center load over 10 years, with a grain of salt.  A 2018 Lawrence Berkeley National Laboratory study that compared load forecasts and actual growth for 12 Western U.S. utilities in the mid-2000s and found most overestimated future demand. But experts say it’s very difficult for utilities to tell in advance which data center interconnection requests will pan out, or how much potential load to discount in the aggregate. This is a problem because, as Giacobone noted, excess requests sap

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Resetting net zero: What next?

Adrian Del Maestro is Global Energy Advisory Lead for AECOM, an engineering and construction firm. Just a few years ago, a net zero future felt almost certain. From the Inflation Reduction Act in the United States to the European Green New Deal, major economies leaped forward in a burst of green optimism. Even limiting global warming to 1.5 degrees Celsius seemed possible. However, 2025 feels quite different. An emerging array of tariffs is set to complicate the economics of low-carbon projects; geopolitical tensions have led many governments to refocus investment on new defense imperatives, perhaps to the detriment of transition spend; and more broadly, energy resilience is dominating national and corporate agendas, meaning natural gas and nuclear are rising to prominence. Net zero, it seems, is entering a reset. And the data bears that out. Though clean energy investment totaled an impressive $2.1 trillion in 2024, growth in spending roughly halved compared to the three years prior. Even as investment in solar and wind continues to increase, spending on emerging transition technologies like carbon capture and storage (CCS) and hydrogen dropped by 23% in 2024. If this reset gathers momentum, the implications will prove severe in the short- to medium-term. It will have a range of adverse impacts, from accelerating climate change to undermining the adoption of critical transition technologies. Getting net zero back on track will not be straightforward. Yet there is still time for a course correct. This will require a renewed emphasis on energy resilience, one that refocuses limited resources on key technologies while removing barriers to what is already profitable. For governments, it is important to retain their long-term focus on delivering net zero — whatever the short-term priorities around profitability that shape corporate thinking. That starts with enabling technologies. Grid modernization, for instance, must remain

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Check Point CISO: Network segregation can prevent blackouts, disruptions

Fischbein agrees 100% with his colleague’s analysis and adds that education and training can help prevent such incidents from occurring. “Simulating such a blackout is impossible, it has never been done,” he acknowledges, but he is committed to strengthening personal and team training and risk awareness. Increased defense and cybersecurity budgets In 2025, industry watchers expect there will be an increase in the public budget allocated to defense. In Spain, one-third of the budget will be allocated to increasing cybersecurity. But for Fischbein, training teams is much more important than the budget. “The challenge is to distribute the budget in a way that can be managed,” he notes, and to leverage intuitive and easy-to-use platforms, so that organizations don’t have to invest all the money in training. “When you have information, management, users, devices, mobiles, data centers, clouds, cameras, printers… the security challenge is very complex. You have to look for a security platform that makes things easier, faster, and simpler,” he says. ” Today there are excellent tools that can stop all kinds of attacks.” “Since 2010, there have been cybersecurity systems, also from Check Point, that help prevent this type of incident from happening, but I’m not sure that [Spain’s electricity blackout] was a cyberattack.” Leading the way in email security According to Gartner’s Magic Quadrant, Check Point is the leader in email security platforms. Today email is still responsible for 88% of all malicious file distributions. Attacks that, as Fischbein explains, enter through phishing, spam, SMS, or QR codes. “There are two challenges: to stop the threats and not to disturb, because if the security tool is a nuisance it causes more harm than good. It is very important that the solution does not annoy [users],” he stresses. “As almost all attacks enter via e-mail, it is

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HPE ‘morphs’ private cloud portfolio with improved virtualization, storage and data protection

What do you get when combining Morpheus with Aruba? As part of the extensible platform message that HPE is promoting with Morpheus, it’s also working in some capabilities from the broader HPE portfolio. One integration is with HPE Aruba for networking microsegmentation. Bhardwaj noted that a lot of HPE Morpheus users are looking for microsegmentation in order to make sure that the traffic between two virtual machines on a server is secure. “The traditional approach of doing that is on the hypervisor, but that costs cycles on the hypervisor,” Bhardwaj said. “Frankly, the way that’s being delivered today, customers have to pay extra cost on the server.” With the HPE Aruba plugin that now works with HPE Morpheus, the microsegmentation capability can be enabled at the switch level. Bhardwaj said that by doing the microsegmentation in the switch and not the hypervisor, costs can be lowered and performance can be increased. The integration brings additional capabilities, including the ability to support VPN and network address translation (NAT) in an integrated way between the switch and the hypervisor. VMware isn’t the only hypervisor supported by HPE  The HPE Morpheus VM Essentials Hypervisor is another new element in the HPE cloud portfolio. The hypervisor is now being integrated into HPE’s private cloud offerings for both data center as well as edge deployments.

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AMD targets hosting providers with affordable EPYC 4005 processors

According to Pinkesh Kotecha, chairman and MD of Ishan Technologies, AMD’s 4th Gen EPYC processors stood out because they offer the right combination of high performance, energy efficiency, and security. “Their high core density and ability to optimize performance per watt made them ideal for managing data-intensive operations like real-time analytics and high-frequency transactions. Additionally, AMD’s strong AI roadmap and growing portfolio of AI-optimised solutions position them as a forward-looking partner, ready to support our customers’ evolving AI and data needs. This alignment made AMD a clear choice over alternatives,” Kotecha said. By integrating AMD EPYC processors, Ishan Technologies’ Ishan Cloud plans to empower enterprises across BFSI, ITeS, and manufacturing industries, as well as global capability centers and government organizations, to meet India’s data localization requirements and drive AI-led digital transformation. “The AMD EPYC 4005 series’ price-to-performance ratio makes it an attractive option for cloud hosting and web services, where cost-efficient, always-on performance is essential,” said Manish Rawat, analyst, TechInsights. Prabhu Ram, VP for the industry research group at CMR, said EPYC 4005 processors deliver a compelling mix of performance-per-watt, higher core counts, and modern I/O support, positioning it as a strong alternative to Intel’s Xeon E-2400 and 6300P, particularly for edge deployments. Shah of Counterpoint added, “While ARM-based Ampere Altra promises higher power efficiencies and is ideally adopted in more cloud and hyperscale data centers, though performance is something where x86-based Zen 5 architecture excels and nicely balances the efficiencies with lower TDPs, better software compatibilities supported by a more mature ecosystem.”

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Shell’s immersive cooling liquids the first to receive official certification from Intel

Along with the certification, Intel is offering a Xeon processor single-phase immersion warranty rider. This indicates Intel’s confidence in the durability and effectiveness of Shell’s fluids. Yates explained that the rider augments Intel’s standard warranty terms and is available to data center operators deploying 4th and 5th generation Xeon processors in Shell immersion fluids. The rider is intended to provide data center operators confidence that their investment is guaranteed when deployed correctly. Shell’s fluids are available globally and can be employed in retrofitted existing infrastructure or used in new builds. Cuts resource use, increases performance Data centers consume anywhere from 10 to 50 times more energy per square foot than traditional office buildings, and they are projected to drive more than 20% of the growth in electricity demand between now and 2030. Largely due to the explosion of AI, data center energy consumption is expected to double from 415 terawatt-hours in 2024 to around 945 TWh by 2030. There are several other technologies used for data center cooling, including air cooling, cold plate (direct-to-chip), and precision cooling (targeted to specific areas), but the use of immersion cooling has been growing, and is expected to account for 36% of data center thermal management revenue by 2028. With this method, servers and networking equipment are placed in cooling fluids that absorb and dissipate heat generated by the electronic equipment. These specialized fluids are thermally conductive but not electrically conductive (dielectric) thus making them safe for submerging electrical equipment.

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Cisco joins AI infrastructure alliance

“The addition of Cisco reinforces AIP’s commitment to an open-architecture platform and fostering a broad ecosystem that supports a diverse range of partners on a non-exclusive basis, all working together to build a new kind of AI infrastructure,” the group said in a statement.  Separately, Cisco announced AI initiatives centered in the Middle East region. Last week, Cisco CEO Chuck Robbins visited Saudi Arabia, UAE, Qatar, and Bahrain. This week, Jeetu Patel, executive vice president and chief product officer, is in Saudi Arabia, where he is participating in President Trump’s state visit to the region, according to Cisco. Related new projects include:  An initiative with HUMAIN, Saudi Arabia’s new AI enterprise to help build an open, scalable, resilient and cost-efficient AI infrastructure: “This landmark collaboration will set a new standard for how AI infrastructure is designed, secured and delivered – combining Cisco’s global expertise with the Kingdom’s bold AI ambitions. The multi-year initiative aims to position the country as a global leader in digital innovation,” Cisco stated. A collaboration with the UAE-basedG42 to co-develop a secure AI portfolio and AI-native services: Cisco and G42 will work together to assess the potential to co-develop and jointly deploy AI-powered cybersecurity packages, as well as a reference architecture that integrates Cisco’s networking, security, and infrastructure solutions specifically designed for high-performance computing. This collaboration aims to help customers build and secure AI-ready data centers and develop AI workloads effectively, according to the companies. Interest in Qatar’s digital transformation: Qatar’s Ministry of Interior and Cisco signed a letter of intent to collaborate on Qatar’s digital transformation, AI, infrastructure development and cybersecurity.

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Cato Networks introduces AI-powered policy analysis engine

Cato Networks this week announced a new policy analysis engine for its cloud-based secure access service edge platform that the company says will optimize and improve SASE policies, reduce risk, simplify compliance, and reduce manual maintenance efforts. Cato Autonomous Policies is built into the Cato SASE Cloud Platform and can provide enterprises with AI-driven recommendations to eliminate security exposure, tighten access controls, and improve network performance. The first use case of the policy engine is designed for firewall as a service (FWaaS) environments in which “firewall rule bloat” is present, Cato explained in a statement. The bloat comes from organizations accumulating thousands of rules that were designed to protect the environment, but after becoming outdated or misconfigured, actually lead to increased risk. “Most enterprises rely on a mix of firewalls deployed in data centers, branch offices, and cloud environments. Over time, rule sets grow, become inconsistent, and are filled with redundant, outdated, or conflicting entries,” wrote Demetris Booth, product marketing director at Cato Networks, in a blog post on the product news. “As a result, security policies become hard to manage, even harder to audit, and often misaligned with zero-trust principles. AI-driven firewall policy management is necessary for modern enterprises to streamline and optimize security operations.”

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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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