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SolarWinds buys Squadcast to speed incident response

Squadcast customers shared their experiences with the technology. “Since implementing Squadcast, we’ve reduced incoming alerts from tens of thousands to hundreds, thanks to flexible deduplication. It has a direct impact on reducing alert fatigue and increasing awareness,” said Avner Yaacov, Senior Manager at Redis, in a statement. According to SolarWinds, the SaaS-based offering will complement […]

Squadcast customers shared their experiences with the technology. “Since implementing Squadcast, we’ve reduced incoming alerts from tens of thousands to hundreds, thanks to flexible deduplication. It has a direct impact on reducing alert fatigue and increasing awareness,” said Avner Yaacov, Senior Manager at Redis, in a statement.

According to SolarWinds, the SaaS-based offering will complement the company’s current portfolio, which serves the needs of IT organizations at businesses of all sizes, from SMBs to large enterprises. The new enhancements to the SolarWinds portfolio are available now

SolarWinds will share more details around its acquired capabilities at the free SolarWinds Day: The Era of Operational Resilience virtual event. The event will also feature a roundtable discussion with Torsten Volk, principal analyst, Application Modernization at Enterprise Strategy Group. 

“In today’s fragmented landscape, most IT environments lack not only a unified, end-to-end view of a system’s health and performance but also the ability to efficiently remediate issues and provide meaningful business insights,” said in a statement. “Despite investments in monitoring tools and platforms, organizations are struggling to maintain operational resilience. This tool sprawl has created a critical visibility gap, with 52% of organizations still lacking full-stack observability. Addressing this critical challenge is essential for organizations to diagnose and remediate issues proactively before they impact the business.”

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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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Cisco strengthens integrated IT/OT network and security controls

Another significant move that will help IT/OT integration is the planned integration of the management console for Cisco’s Catalyst and Meraki networks. That combination will allow IT and OT teams to see the same dashboard for industrial OT and IT enterprise/campus networks. Cyber Vision will feeds into the dashboard along

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MOL’s Tiszaújváros steam cracker processes first circular feedstock

MOL Group has completed its first certified production trial using circular feedstock at subsidiary MOL Petrochemicals Co. Ltd. complex in Tiszaújváros, Hungary, advancing the company’s strategic push toward circular economy integration in petrochemical production. Confirmed completed as of Sept. 15, the pilot marked MOL Group’s first use of post-consumer plastic

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Network jobs watch: Hiring, skills and certification trends

Desire for higher compensation Improve career prospects Want more interesting work “A robust and engaged tech workforce is essential to keeping enterprises operating at the highest level,” said Julia Kanouse, Chief Membership Officer at ISACA, in a statement. “In better understanding IT professionals’ motivations and pain points, including how these

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WTI Falls on Stockpile, Fed Moves

Oil eased after a three-session advance as traders assessed fresh US stockpile data and a Federal Reserve interest-rate cut. West Texas Intermediate fell 0.7% to settle above $64 a barrel after the Federal Reserve lowered its benchmark interest rate by a quarter percentage point and penciled in two more reductions this year. Although lower rates typically boost energy demand, investors focused on policymakers’ warnings of mounting labor market weakness. Traders had also mostly priced in a 25 basis-point cut ahead of the decision, leading some to unwind hedges against a bigger-than-expected reduction. The dollar strengthened, making commodities priced in the currency less attractive. “There is a somewhat counterintuitive reaction to the Fed’s cut, but the dovish pivot cements their shift to protect the labor side of their mandate,” said Frank Monkam, head of macro trading at Buffalo Bayou Commodities. The shift suggests “an admission that growth risks to the economy are becoming more apparent and concerning.” The Fed move compounded an earlier slide as traders discounted the most recent US stockpile data, which showed crude inventories fell 9.29 million barrels amid a sizable increase in exports. However, the adjustment factor ballooned and distillate inventories rose to the highest since January, adding a bearish tilt to the report. “Traders like to see domestic demand pulling the inventories,” as opposed to exports, said Dennis Kissler, senior vice president for trading at BOK Financial Securities. The distillate buildup also stunted a rally following Ukraine’s attack on the Saratov refinery in its latest strike on Russian energy facilities — which have helped cut the OPEC+ member’s production to its lowest post-pandemic level, according to Goldman Sachs Group Inc. Still, the strikes haven’t been enough to push oil out of the $5 band it has been in for most of the past month-and-a-half, buffeted between

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XRG Walks Away From $19B Santos Takeover

Abu Dhabi National Oil Co. dropped its planned $19 billion takeover of Australian natural gas producer Santos Ltd., walking away from an ambitious effort to expand overseas after failing to agree on key terms. A “combination of factors” discouraged the company’s XRG unit from making a final bid, it said Wednesday. The decision was strictly commercial and reflected disagreement over issues including valuation and tax, people familiar with the matter said, asking not to be identified discussing private information. It’s a notable retreat for XRG, the Adnoc spinoff launched to great fanfare last year and tasked with deploying Abu Dhabi’s billions into international dealmaking. The firm has been looking to build a global portfolio, particularly in chemicals and liquefied natural gas, and nixing the Santos transaction may slow an M&A drive aimed at diversifying the Middle Eastern emirate away from crude. The company made its indicative offer in June with a consortium that included Abu Dhabi Development Holding Co. and Carlyle Group Inc. The board of Santos, Australia’s second-largest fossil-fuel producer, recommended the $5.76-a-share proposal, which represented a 28% premium to the stock price at the time. But although the shares surged that day, they have remained well below the offer price, potentially indicating investors were skeptical the consortium could land the deal. Santos extended an exclusivity period for a second time last month, saying the group had sought more time to complete due diligence and obtain approvals. “The market will ask questions about Santos’ valuation after this,” Saul Kavonic, an energy analyst at MST Marquee, said by email. Investors may be wary about “any skeletons that may be lurking there, all the more so because XRG was a less price-sensitive buyer than most, yet still couldn’t make it work.” Santos’ American depositary receipts slumped as much as 9.5% to $4.69 on Wednesday. Covestro Hurdles Following agreements for

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Slovakia and Hungary Resist Trump Bid to Halt Russian Energy

Slovakia and Hungary signaled they would resist pressure from US President Donald Trump to cut Russian oil and gas imports until the European Union member states find sufficient alternative supplies.  “Before we can fully commit, we need to have the right conditions in place — otherwise we risk seriously damaging our industry and economy,” Slovak Economy Minister Denisa Sakova told reporters in Bratislava on Wednesday.  The minister said sufficient infrastructure must first be in place to support alternative routes. The comments amount to a pushback against fresh pressure from Trump for all EU states to end Russian energy imports, a move that would hit Slovakia and Hungary.  Hungarian Cabinet Minister Gergely Gulyas reiterated that his country would rebuff EU initiatives that threatened the security of its energy supplies. Sakova said she made clear Slovakia’s position during talks with US Energy Secretary Chris Wright in Vienna this week. She said the Trump official expressed understanding, while acknowledging that the US must boost energy projects in Europe.  Trump said over the weekend that he’s prepared to move ahead with “major” sanctions on Russian oil if European nations do the same. The government in Bratislava is prepared to shut its Russian energy links if it has sufficient infrastructure to transport volumes, Sakova said.  “As long as we have an alternative route, and the transmission capacity is sufficient, Slovakia has no problem diversifying,” the minister said. A complete cutoff of Russian supplies would pose a risk, she said, because Slovakia is located at the very end of alternative supply routes coming from the West.  Slovakia and Hungary, landlocked nations bordering Ukraine, have historically depended on Russian oil and gas. After Russia’s full-scale invasion of Ukraine in 2022, both launched several diversification initiatives. Slovakia imports around third of its oil from non-Russian sources via the Adria pipeline

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Slovakia Resists Pressure to Quickly Halt Russian Energy

Slovakia and Hungary signaled they would resist pressure from US President Donald Trump to cut Russian oil and gas imports until the European Union member states find sufficient alternative supplies.  “Before we can fully commit, we need to have the right conditions in place — otherwise we risk seriously damaging our industry and economy,” Slovak Economy Minister Denisa Sakova told reporters in Bratislava on Wednesday.  The minister said sufficient infrastructure must first be in place to support alternative routes. The comments amount to a pushback against fresh pressure from Trump for all EU states to end Russian energy imports, a move that would hit Slovakia and Hungary.  Hungarian Cabinet Minister Gergely Gulyas reiterated that his country would rebuff EU initiatives that threatened the security of its energy supplies. Sakova said she made clear Slovakia’s position during talks with US Energy Secretary Chris Wright in Vienna this week. She said the Trump official expressed understanding, while acknowledging that the US must boost energy projects in Europe.  Trump said over the weekend that he’s prepared to move ahead with “major” sanctions on Russian oil if European nations do the same. The government in Bratislava is prepared to shut its Russian energy links if it has sufficient infrastructure to transport volumes, Sakova said.  “As long as we have an alternative route, and the transmission capacity is sufficient, Slovakia has no problem diversifying,” the minister said. A complete cutoff of Russian supplies would pose a risk, she said, because Slovakia is located at the very end of alternative supply routes coming from the West.  Slovakia and Hungary, landlocked nations bordering Ukraine, have historically depended on Russian oil and gas. After Russia’s full-scale invasion of Ukraine in 2022, both launched several diversification initiatives. Slovakia imports around third of its oil from non-Russian sources via the Adria pipeline

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Energy-related US CO2 emissions down 20% since 2005: EIA

Listen to the article 2 min This audio is auto-generated. Please let us know if you have feedback. Per capita carbon dioxide emissions from energy consumption fell in every state from 2005 to 2023, primarily due to less coal being burned, the U.S. Energy Information Administration said in a Monday report.  In total, CO2 emissions fell by 20% in those years. The U.S. population increased by 14% during that period, so per capita, emissions fell by 30%, according to EIA. “Increased electricity generation from natural gas, which releases about half as many CO2 emissions per unit of energy when combusted as coal, and from non-CO2-emitting wind and solar generation offset the decrease in coal generation,” EIA said. Emissions decreased in every state, falling the most in Maryland and the District of Columbia, which saw per capita drops of 49% and 48%, respectively. Emissions fell the least in Idaho, where they dropped by 3%, and Mississippi, where they dropped by 1%. Optional Caption Courtesy of Energy Information Administration “In 2023, Maryland had the lowest per capita CO2 emissions of any state, at 7.8 metric tons of CO2 (mtCO2), which is the second lowest in recorded data beginning in 1960,” EIA said. “The District of Columbia has lower per capita CO2 emissions than any state and tied its record low of 3.6 mtCO2 in 2023.” EIA forecasts a 1% increase in total U.S. emissions from energy consumption this year, “in part because of more recent increased fossil fuel consumption for crude oil production and electricity generation growth.” In 2023, the transportation sector was responsible for the largest share of emissions from energy consumption across 28 states, EIA said. In 2005, the electric power sector had “accounted for the largest share of emissions in 31 states, while the transportation sector made up the

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Chord Announces ‘Strategic Acquisition of Williston Basin Assets’

Chord Energy Corporation announced a “strategic acquisition of Williston Basin assets” in a statement posted on its website recently. In the statement, Chord said a wholly owned subsidiary of the company has entered into a definitive agreement to acquire assets in the Williston Basin from XTO Energy Inc. and affiliates for a total cash consideration of $550 million, subject to customary purchase price adjustments. The consideration is expected to be funded through a combination of cash on hand and borrowings, Chord noted in the statement, which highlighted that the effective date for the transaction is September 1, 2025, and that the deal is expected to close by year-end. Chord outlined in the statement that the deal includes 48,000 net acres in the Williston core, noting that “90 net 10,000 foot equivalent locations (72 net operated) extend Chord’s inventory life”. Pointing out “inventory quality” in the statement, Chord highlighted that “low average NYMEX WTI breakeven economics ($40s) compete at the front-end of Chord’s program and lower the weighted-average breakeven of Chord’s portfolio”. The company outlined that the deal is “expected to be accretive to all key metrics including cash flow, free cash flow and NAV in both near and long-term”. “We are excited to announce the acquisition of these high-quality assets,” Danny Brown, Chord Energy’s President and Chief Executive Officer, said in the statement. “The acquired assets are in one of the best areas of the Williston Basin and have significant overlap with Chord’s existing footprint, setting the stage for long-lateral development. The assets have a low average NYMEX WTI breakeven and are immediately competitive for capital,” he added. “We expect that the transaction will create significant accretion for shareholders across all key metrics, while maintaining pro forma leverage below the peer group and supporting sustainable FCF generation and return of capital,” he continued.

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Power shortages are the only thing slowing the data center market

Another major shortage – which should not be news to anyone – is power. Lynch said that it is the primary reason many data centers are moving out of the heavily congested areas, like Northern Virginia and Santa Clara, and into secondary markets. Power is more available in smaller markets than larger ones. “If our client needs multi-megawatt capacity in Silicon Valley, we’re being told by the utility providers that that capacity will not be available for up to 10 years from now,” so out of necessity, many have moved to secondary markets, such as Hillsborough, Oregon, Reno, Nevada, and Columbus, Ohio. The growth of hyperscalers as well as AI is driving up the power requirements of facilities further into the multi-megawatt range. The power industry moves at a very different pace than the IT world, much slower and more deliberate. Lynch said the lead time for equipment makes it difficult to predict when some large scale, ambitious data centers can be completed. A multi-megawatt facility may even require new transmission lines to be built out as well. This translates into longer build times for new data centers. CBRE found that the average data center now takes about three years to complete, up from 2 years just a short time ago. Intel, AMD, and Nvidia haven’t even laid out a road map for three years, but with new architectures coming every year, a data center risks being obsolete by the time it’s completed. However, what’s the alternative? To wait? Customers will never catch up at that rate, Lynch said.   That is simply not a viable option, so development and construction must go on even with short supplies of everything from concrete and steel to servers and power transformers.

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Arista continues to defy expectations, build enterprise momentum

During her keynote, Ullal noted Arista is not only selling high-speed switches for AI data centers but also leveraging its own technology to create a new category of “AI centers” that simplify network management and operations, with a goal of 60% to 80% growth in the AI market. Arista has its sights set on enterprise expansion Arista hired Todd Nightingale as its new president a couple of month ago, and the reason should be obvious to industry watchers: to grow the enterprise business. Nightingale recently served as CEO of Fastly, but he is best known for his tenure as Cisco. He joined when Cisco acquired Meraki, where he was the CEO. Ullal indicated the campus and WAN business would grow from the current $750 million to $800 million run rate to $1.25 billion, which is a whopping 60% growth. Some of this will come from VeloCloud being added to Arista’s numbers, but not all of it. Arista’s opportunity in campus and WAN is in bringing its high performance, resilient networking to this audience. In a survey I conducted last year, 93% of respondents stated the network is more important to business operations than it was two years ago. During his presentation, Nightingale talked about this shift when he said: “There is no longer such a thing as a network that is not mission critical. We think of mission critical networks for military sites and tier one hospitals, but every hotel and retailer who has their Wi-Fi go down and can’t transact business will say the network is critical.” Also, with AI, inferencing traffic is expected to put a steady load on the network, and any kind of performance hiccup will have negative business ramifications. Historically, Arista’s value proposition for companies outside the Fortune 2000 was a bit of a solution

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Arista touts liquid cooling, optical tech to reduce power consumption for AI networking

Both technologies will likely find a role in future AI and optical networks, experts say, as both promise to reduce power consumption and support improved bandwidth density. Both have advantages and disadvantages as well – CPOs are more complex to deploy given the amount of technology included in a CPO package, whereas LPOs promise more simplicity.  Bechtolsheim said that LPO can provide an additional 20% power savings over other optical forms. Early tests show good receiver performance even under degraded conditions, though transmit paths remain sensitive to reflections and crosstalk at the connector level, Bechtolsheim added. At the recent Hot Interconnects conference, he said: “The path to energy-efficient optics is constrained by high-volume manufacturing,” stressing that advanced optics packaging remains difficult and risky without proven production scale.  “We are nonreligious about CPO, LPO, whatever it is. But we are religious about one thing, which is the ability to ship very high volumes in a very predictable fashion,” Bechtolsheim said at the investor event. “So, to put this in quantity numbers here, the industry expects to ship something like 50 million OSFP modules next calendar year. The current shipment rate of CPO is zero, okay? So going from zero to 50 million is just not possible. The supply chain doesn’t exist. So, even if the technology works and can be demonstrated in a lab, to get to the volume required to meet the needs of the industry is just an incredible effort.” “We’re all in on liquid cooling to reduce power, eliminating fan power, supporting the linear pluggable optics to reduce power and cost, increasing rack density, which reduces data center footprint and related costs, and most importantly, optimizing these fabrics for the AI data center use case,” Bechtolsheim added. “So what we call the ‘purpose-built AI data center fabric’ around Ethernet

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Network and cloud implications of agentic AI

The chain analogy is critical here. Realistic uses of AI agents will require core database access; what can possibly make an AI business case that isn’t tied to a company’s critical data? The four critical elements of these applications—the agent, the MCP server, the tools, and the data— are all dragged along with each other, and traffic on the network is the linkage in the chain. How much traffic is generated? Here, enterprises had another surprise. Enterprises told me that their initial view of their AI hosting was an “AI cluster” with a casual data link to their main data center network. With AI agents, they now see smaller AI servers actually installed within their primary data centers, and all the traffic AI creates, within the model and to and from it, now flows on the data center network. Vendors who told enterprises that AI networking would have a profound impact are proving correct. You can run a query or perform a task with an agent and have that task parse an entire database of thousands or millions of records. Someone not aware of what an agent application implies in terms of data usage can easily create as much traffic as a whole week’s normal access-and-update would create. Enough, they say, to impact network capacity and the QoE of other applications. And, enterprises remind us, if that traffic crosses in/out of the cloud, the cloud costs could skyrocket. About a third of the enterprises said that issues with AI agents generated enough traffic to create local congestion on the network or a blip in cloud costs large enough to trigger a financial review. MCP tool use by agents is also a major security and governance headache. Enterprises point out that MCP standards haven’t always required strong authentication, and they also

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There are 121 AI processor companies. How many will succeed?

The US currently leads in AI hardware and software, but China’s DeepSeek and Huawei continue to push advanced chips, India has announced an indigenous GPU program targeting production by 2029, and policy shifts in Washington are reshaping the playing field. In Q2, the rollback of export restrictions allowed US companies like Nvidia and AMD to strike multibillion-dollar deals in Saudi Arabia.  JPR categorizes vendors into five segments: IoT (ultra-low-power inference in microcontrollers or small SoCs); Edge (on-device or near-device inference in 1–100W range, used outside data centers); Automotive (distinct enough to break out from Edge); data center training; and data center inference. There is some overlap between segments as many vendors play in multiple segments. Of the five categories, inference has the most startups with 90. Peddie says the inference application list is “humongous,” with everything from wearable health monitors to smart vehicle sensor arrays, to personal items in the home, and every imaginable machine in every imaginable manufacturing and production line, plus robotic box movers and surgeons.  Inference also offers the most versatility. “Smart devices” in the past, like washing machines or coffee makers, could do basically one thing and couldn’t adapt to any changes. “Inference-based systems will be able to duck and weave, adjust in real time, and find alternative solutions, quickly,” said Peddie. Peddie said despite his apparent cynicism, this is an exciting time. “There are really novel ideas being tried like analog neuron processors, and in-memory processors,” he said.

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Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Looking for Data Center Candidates? Check out Pkaza’s Active Candidate / Featured Candidate Hotlist (and coming soon free Data Center Intern listing). Data Center Critical Facility Manager Impact, TX There position is also available in: Cheyenne, WY; Ashburn, VA or Manassas, VA. This opportunity is working directly with a leading mission-critical data center developer / wholesaler / colo provider. This firm provides data center solutions custom-fit to the requirements of their client’s mission-critical operational facilities. They provide reliability of mission-critical facilities for many of the world’s largest organizations (enterprise and hyperscale customers). This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. Electrical Commissioning Engineer New Albany, OH This traveling position is also available in: Richmond, VA; Ashburn, VA; Charlotte, NC; Atlanta, GA; Hampton, GA; Fayetteville, GA; Cedar Rapids, IA; Phoenix, AZ; Dallas, TX or Chicago, IL. *** ALSO looking for a LEAD EE and ME CxA Agents and CxA PMs. *** Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits.  Data Center Engineering Design ManagerAshburn, VA This opportunity is working directly with a leading mission-critical data center developer /

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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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