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ETZ chooses operator for Aberdeen hydrogen tech testing facility

ETZ Ltd has selected TÜV SÜD to operate its flagship Green Hydrogen Test and Demonstration Facilities (GHTDF) in Aberdeen. In addition, ETZ Ltd has also awarded consultancy Stantec, which has recently established a presence in Aberdeen, with a six-figure contract to provide an engineering design for the project. The GHTDF will offer testing, verification and […]

ETZ Ltd has selected TÜV SÜD to operate its flagship Green Hydrogen Test and Demonstration Facilities (GHTDF) in Aberdeen.

In addition, ETZ Ltd has also awarded consultancy Stantec, which has recently established a presence in Aberdeen, with a six-figure contract to provide an engineering design for the project.

The GHTDF will offer testing, verification and certification of key components for green hydrogen production at scale, including electrolysers, valves and flow meters, to ensure their safety and long-term reliability.

The facility, which is expected to be up and running in 2027, will be based at ETZ Ltd’s hydrogen campus in the south of Aberdeen, part of the company’s Energy Transition Zone project, which will be based on 75-100 acres of land around Aberdeen’s new £420 million south harbour.

ETZ Ltd director for hydrogen and CCUS Martin McCormack said: “This facility will be a nationally significant asset for the UK, working as an exemplar for the testing, verification and certification of key industry hydrogen technologies.

“In TÜV SÜD we have found the right partner to help deliver this test and demonstration centre, ably supported by Stantec’s deep technical expertise. As we seek to drive forward the hydrogen economy in the region, this is a prime opportunity for the wider hydrogen sector to support the development of this key infrastructure.”

Driving hydrogen

Ahead of its expected start date, ETZ Ltd, a private sector not-for-profit company backed by industrialist Sir Ian Wood, aims to attract private and public sector funding for the GHTDF.

The company noted that industry support will be vital to realising the GHTDF project and ultimately the full benefits of GHTDF to the hydrogen economy.

ETZ Ltd is looking to take a final investment decision on the facility later this year and start construction in 2026.

In addition, to providing an anchor project for the hydrogen campus, the GHTDF will also help drive the UK government’s goal of develop at least 5GW of installed hydrogen production capacity by 2030.

The project will also benefit from green hydrogen available from the Aberdeen Hydrogen Hub, which is being developed by Aberdeen City Council and BP, which also sits in the Energy Transition Zone and took its investment decision last year.

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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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Key takeaways from IBM Think partner event

The first week of May means flowers from April showers and that it’s time for IBM Think in Boston. The first day of the event has historically been the Partner Plus day, which is devoted to content for IBM partners, which include ISVs, technology partners and resellers. The 2025 keynote

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LandBridge Posts Higher Revenue

LandBridge Company LLC has reported $44 million in revenue for the first quarter of 2025, up from $36.5 million for the fourth quarter of 2024 and $19 million for the corresponding quarter a year prior. The company attributed the sequential increase to increases in surface use royalties of $6.8 million,

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US, Saudi Arabia Ink Energy, Critical Mineral Deals

Saudi Arabia and the United States have signed agreements on cooperation on energy – including through refined oil products trading and artificial intelligence (AI) – and critical minerals. The memorandum of understanding (MOU) on energy collaboration and the memorandum of cooperation (MOC) on critical minerals were executed during Donald Trump’s visit to the kingdom, in which the U.S. president secured $600 billion in investment commitments from the Saudis. The MOU was signed between U.S. Energy Secretary Chris Wright and Saudi Energy Minister Prince Abdulaziz bin Salman Al Saud while the MOC was signed by Wright and Saudi Industry and Mineral Resources Minister Bandar Alkhorayef. The MOU “explores the potential for innovation, development, deployment of energy infrastructure in the two countries, and providing access to clean cooking solutions in developing countries”, the U.S. Department of Energy (DOE) said in an online statement Tuesday. “The MOU also highlights the intent to collaborate in various fields including petroleum refining and refined products trading, electricity generation technologies and energy storage systems, and artificial intelligence projects to accelerate deployment of energy-driven innovations. “The two sides also outlined areas for cooperation on civil nuclear energy, including safety, security, and nonproliferation programs; vocational training and workforce development; U.S. Generation III+ advanced large reactor technologies and small modular reactors; uranium exploration, mining, and milling; and safe and secure nuclear waste disposal”. Meanwhile the MOC will create “a framework for cooperation to strengthen and secure supply chains for critical minerals mining and processing”, the DOE said. The two intend to explore joint ventures and investment opportunities, including in refining and processing facilities, and in workforce and research institutions that will ensure continued innovation related to mineral exploration, extraction, and processing”. The White House announced separately on Tuesday that Trump has secured investment pledges totaling $600 billion from Saudi partners. The investments are part of two-way deals that

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Trump Favors $40-$50 Oil, Goldman Says After Sifting Posts

President Donald Trump appears to prefer US oil prices between $40 and $50 a barrel, according to Goldman Sachs Group Inc., citing an in-house analysis of his social-media posts on the topic. Trump “has always been focused on oil and on US energy dominance, having posted nearly 900 times,” analysts including Daan Struyven said in a report. His “inferred preference for WTI appears to be around $40 to $50 a barrel, where his propensity to post about oil prices bottoms,” they said. Oil prices — both global crude benchmark Brent, as well as US counterpart West Texas Intermediate , or WTI — are often buffeted by the president’s prolific social-media commentary, which can reference everything from OPEC policy and US gasoline prices to sanctions against nations including Iran. His administration has favored increased domestic production, as well as a broad push for cheap energy to help bring down inflation. The US leader “tends to call for lower prices (or celebrate falling prices) when WTI is greater than $50,” the analysts said. “In contrast, President Trump has called for higher prices when prices are very low (WTI less than $30) often in the context of supporting US production.” WTI — which last traded just above $63 a barrel — has shed 12% so far this year, hurt by the fallout from Trump’s trade tariffs, as well as a decision by OPEC+ to loosen supply curbs at a faster-than-expected pace. Still, prices have recovered some ground after the US and China scaled back some levies for 90 days, rising from a four-year closing low seen earlier this month. The president’s “inferred preference for relatively low oil prices directionally supports our view that oil prices are likely to edge lower in 2025-2026,” the analysts said, while also noting upside risks to expectations given

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Thousands of energy experts are leaving federal government. Here’s where they should go.

Charles Hua is the founder and executive director of PowerLines. Abe Silverman is a former general counsel of the New Jersey Board of Public Utilities and researcher at Johns Hopkins University’s Ralph O’Connor Sustainable Energy Institute. Ted Thomas is a former chairman of the Arkansas Public Service Commission and founder of Energize Strategies. Earlier this year, the federal government announced significant layoffs across government agencies. At the Department of Energy alone, 3,500 government workers are expected to leave. These talented and skilled professionals are now on the market, looking for new careers.  Meanwhile, immense challenges loom for the nation’s energy system — from skyrocketing utility bills and surging electricity demand to aging grid infrastructure and increased cybersecurity threats. There is a growing need for talented engineers, economists, lawyers, accountants and other professionals to help tackle these challenges. While much attention on energy issues focuses on federal action, most of the critical decisions over our‬ electricity system are taking place at the state level, at state public‬ utilities commissions, state energy offices and state consumer advocate offices. These agencies are juggling an increasingly complex and expansive set of responsibilities, from planning for‬ the buildout of energy resources and courting economic development projects to setting‬‭ electricity rates and securing critical infrastructure.‬  States bear disproportionate responsibility for maintaining affordable, reliable and safe‬ ‭electricity. And it is at the state level that departing federal workers can have the greatest impact on our energy future. The U.S. electricity system is at a crossroads. Nearly 80 million Americans, or one in three, are struggling to pay their utility bills, with electricity costs increasing 30% since 2021. According to a new national online poll conducted by Ipsos, four in five (80%) Americans say they feel powerless over their utility bills. This trend is expected to continue, with

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Tallgrass Secures Shipping Deals for Planned Permian Gas Pipeline

Tallgrass said Tuesday it has signed anchor shipper precedent agreements for a planned Permian Basin pipeline that would carry up to 2.4 billion cubic feet of natural gas. The firm transport commitments “financially justify construction of the pipeline project, subject to customary regulatory and corporate conditions and approvals, with a target in-service date in late 2028”, the Kansas City-based energy transport infrastructure company said in an online statement. Tallgrass said it would launch an open season for more shippers to subscribe and for the company to determine the pipeline’s ultimate capacity. The pipeline is planned to pick up gas from different points in the Permian for transport to the Rockies Express Pipeline, Tallgrass’ gas pipeline stretching about 1,700 miles from Colorado’s Blanco County to Ohio’s Monroe County. Tallgrass is also eyeing other delivery points. “The new pipeline project is unique in that it will enable affordable and plentiful natural gas to access markets across the U.S., including multiple major markets that are key hubs of activity for industrial, agricultural, and technological development and innovation, from reshoring, policies to promote U.S. agriculture, and AI-driven power demand”, Tallgrass said. “Upon in-service, natural gas from the project will also be able to reach markets across Tallgrass’ approximately 800-mile decarbonization pipeline network, so that consumers of new natural-gas-fired power generation and industrial consumers of natural gas will have an immediate and financially viable opportunity to supply their growing energy demand while decarbonizing through CO2 capture and sequestration and the use of clean hydrogen”. CO2 Pipeline Project Tallgrass is converting a natural gas pipeline that operated for over a decade to transport CO2 to its sequestration site being developed in Wyoming. The converted pipeline is planned to transport over 10 million tons a year of CO2 from industries in Colorado, Nebraska and Wyoming. Tallgrass expects the converted

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Sweden’s CorPower to build UK’s largest wave energy array in Orkney

Swedish firm CorPower Ocean is set to build the UK’s largest wave energy array at a test site in the Orkney Islands. The Scottish government made the announcement at the All-Energy conference in Glasgow. As part of the berth agreement, CorPower will deploy a 5 MW wave array at the European Marine Energy Centre (EMEC) by 2029. The project will be located at EMEC’s grid-connected Billia Croo wave energy test site and will consist of 14 wave energy converters (WECs) operating for up to 15 years. The wave array mark’s CorPower’s second project at EMEC after it tested its C3 WEC at the Scapa Flow test site in 2018 in partnership with Wave Energy Scotland. Since then, the Stockholm-headquartered firm has demonstrated its C4 WEC device off the coast of Portugal. Speaking at All-Energy in 2024, CorPower head of business development Anders Jansson said the company had wanted to continue its testing at EMEC. However, he said CorPower made the decision to move its testing from Scotland to Portugal after Brexit impacted access to EU research funding. © Supplied by CorPowerA CorPower wave energy converter in Portugal. Ahead of building the wave array at EMEC, CorPower will build three more WECs to its fleet for a small wave farm demonstration project before developing the 5 MW array. The Scottish government said CorPower will produce the hull and other subsystems for its Billia Croo array project in Orkney, alongside using local vessels during deployment. Scotland wave and tidal energy ambitions SNP deputy First Minister Kate Forbes said Scotland is in a “prime position” for the development and deployment wave and tidal stream energy. “This new project will create skilled jobs in Orkney, support a developing supply chain while reinforcing Scotland’s global leadership in marine renewables,” Forbes said. Jansson said the company

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Electrification and net zero coming ‘no matter your politics’, ScottishPower chief says

The UK will need to invest heavily in renewable energy and upgrading the grid to meet growing electricity demand despite a growing political pushback against net zero efforts, the chief of executive of ScottishPower has said. Speaking at the opening of the All-Energy conference in Glasgow, Keith Anderson said UK electricity demand is set to double “no matter your politics”. His comments come after a swathe of electoral victories by Reform UK in local elections in England which have raised alarm bells in the clean energy sector. Conservative leader Kemi Badenoch has also said it will be “impossible” for the UK to meet its net zero by 2050 target. But Anderson said the UK needs to continue its energy transition investments because of the “overwhelming consensus” that electrification is becoming “unstoppable”. “Electrification of our economy is critical for energy security, national security, economic growth, the health and wealth of our country, and net zero will come as a result of that electrification,” he said. © Image: SP Energy NetworksA ScottishPower employee standing near grid transmission infrastructure. “No matter your politics, electricity demand will double. “Britain needs the right infrastructure to support it, or we get left behind.” Alongside calls for the UK government to abandon the possible introduction of zonal electricity pricing, Anderson hit out at suggestions that net zero is “doomed to fail”. He said the UK “still has a brilliant pipeline of opportunities” despite a recent announcement that Danish developer Orsted will not proceed with its Hornsea 4 offshore wind project. ‘Go big or go home’ on AR7 Amid these setbacks, he said the UK needs to “go big or go home” in the upcoming seventh Contracts for Difference (CfD) allocation around (AR7). “To hit the clean power 2030 targets, [AR7] has to be the most successful auction

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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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Riverbed bolsters network acceleration for AI’s performance bottlenecks

“Enterprises are worried about bad actors capturing encrypted traffic and saving copies for when quantum computing advances can break the encryption, providing the bad actors with free access to data. It’s a real concern,” Frey explains. “Post-quantum cryptography is a way to get ahead of that now.” Riverbed also introduced the SteelHead 90 series of network acceleration appliances, which the company says will provide resilient network performance to customers. The series includes: SteelHead 8090, which delivers up to 60 Gbps of data movement over a WAN. It supports multiple 100 Gigabyte network interfaces to pull data from the LAN. SteelHead 6090, which delivers up to 20 Gbps of data movement over a WAN, targeted for mid-scale data centers. SteelHead 4090 and 2090, which support mid-sized data center and edge use cases, with 500 Mbps and 200 Mbps of accelerated traffic, as well as up to 10 Gbps of total traffic processing for quality of service (QoS) and application classification use cases. Riverbed SteelHead Virtual, is a software-only version designed for virtualization environments and private cloud deployments, which is compatible with VMWare ESXI, KVM, and Microsoft Hyper-V. “For customers that are familiar with Riverbed, this is a big change in performance. We’ve gone from moving one appliance at 30 Gbps to 60 Gbps. We want to make sure that whether it’s new AI projects or existing data projects, we have ubiquitous availability across clouds,” says Chalan Aras, senior vice president and general manager of Acceleration at Riverbed. “We’re making it less expensive to move data—we are about half the price of traditional data movement methods.” With this announcement, Riverbed also unveiled its Flex licensing subscription offering. According to Riverbed, Flex makes it possible for enterprises to transfer licenses from hardware to virtual to cloud devices at no cost. Enterprises can reassign

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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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