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SportsVisio raises $3.2M for AI for sports athletes and fans

SportsVisio has raised $3.2 million to put the power of advanced AI into the hands of every athlete, coach, and fan. The company has raised $9 million to date, and the round includes continued support from existing investors Sapphire Sport, Hyperplane and Sovereign’s Capital, and welcomes Mighty Capital, Sony Innovation Fund, Alumni Ventures, Waterstone Impact Fund and new strategic angels. The addition of Sony Innovation Fund is of particular importance. With their deep expertise at the intersection of content, entertainment, and emerging technology, Sony Innovation Fund brings a unique perspective that aligns with SportsVisio’s vision to reimagine how sports are captured, analyzed, and shared.  “At Sony Innovation Fund, we invest in technologies with the potential to reshape industries — and SportsVisio is a perfect example of that,” said Austin Noronha, managing director at Sony Ventures in the U.S., in a statement. “Their AI-driven platform delivers professional-grade tools to youth and amateur athletes, transforming how sports moments are captured and shared. We’re excited to back a team that’s expanding access to high-quality sports content and empowering the next generation of athletes.” “At Mighty Capital, we invest in products that people love — and SportsVisio is a perfect example. They’ve combined cutting-edge AI with an intuitive user experience to create a product that athletes, coaches, and leagues rely on. Their rapid adoption and deep engagement are clear signals of long-term value, and we’re thrilled to partner with them as they transform how sports are experienced and shared,” said Jennifer Vancini, general partner at Mighty Capital, in a statement. This funding will power sales and marketing growth initiatives, as SportsVisio scales its offerings across basketball and volleyball and new sports like baseball for amateur, youth and professional sports organizations around the world. “We’re thrilled to have the continued backing of Sapphire Sport and Hyperplane, and to bring on these new partners,” said Jason Syversen, SportsVisio CEO, in a statement. “This funding and strategic guidance will help us to expand on our mission to provide smarter, AI-driven solutions that help teams and players win—on and off the court.” The announcement follows three major product milestones recently achieved: the launch of SportsVisio’s Coach Mode, designed to deliver deeper insights into player performance, team trends, and game flow for the coaching audience; the release of its fully featured volleyball platform, now providing AI-powered stats and automated highlights to one of the fastest-growing sports globally; and the addition of a 3×3 product to enable the fast growing and fast paced format. These innovations reinforce SportsVisio’s commitment to building sport-specific tools that empower coaches and players with actionable data and access to video.  SportsVisio is used by more than 150 leagues, clubs, and teams and 16,000 users throughout 16 countries, empowering coaches, athletes, and teams to elevate their game through data-driven decision-making and video highlights and content.

SportsVisio has raised $3.2 million to put the power of advanced AI into the hands of every athlete, coach, and fan.

The company has raised $9 million to date, and the round includes continued support from existing investors Sapphire Sport, Hyperplane and Sovereign’s Capital, and welcomes Mighty Capital, Sony Innovation Fund, Alumni Ventures, Waterstone Impact Fund and new strategic angels.

The addition of Sony Innovation Fund is of particular importance. With their deep expertise at the intersection of content, entertainment, and emerging technology, Sony Innovation Fund brings a unique perspective that aligns with SportsVisio’s vision to reimagine how sports are captured, analyzed, and shared. 

“At Sony Innovation Fund, we invest in technologies with the potential to reshape industries — and SportsVisio is a perfect example of that,” said Austin Noronha, managing director at Sony Ventures in the U.S., in a statement. “Their AI-driven platform delivers professional-grade tools to youth and amateur athletes, transforming how sports moments are captured and shared. We’re excited to back a team that’s expanding access to high-quality sports content and empowering the next generation of athletes.”

“At Mighty Capital, we invest in products that people love — and SportsVisio is a perfect example. They’ve combined cutting-edge AI with an intuitive user experience to create a product that athletes, coaches, and leagues rely on. Their rapid adoption and deep engagement are clear signals of long-term value, and we’re thrilled to partner with them as they transform how sports are experienced and shared,” said Jennifer Vancini, general partner at Mighty Capital, in a statement.

This funding will power sales and marketing growth initiatives, as SportsVisio scales its offerings across basketball and volleyball and new sports like baseball for amateur, youth and professional sports organizations around the world.

“We’re thrilled to have the continued backing of Sapphire Sport and Hyperplane, and to bring on these new partners,” said Jason Syversen, SportsVisio CEO, in a statement. “This funding and strategic guidance will help us to expand on our mission to provide smarter, AI-driven solutions that help teams and players win—on and off the court.”

The announcement follows three major product milestones recently achieved: the launch of SportsVisio’s Coach Mode, designed to deliver deeper insights into player performance, team trends, and game flow for the coaching audience; the release of its fully featured volleyball platform, now providing AI-powered stats and automated highlights to one of the fastest-growing sports globally; and the addition of a 3×3 product to enable the fast growing and fast paced format. These innovations reinforce SportsVisio’s commitment to building sport-specific tools that empower coaches and players with actionable data and access to video. 

SportsVisio is used by more than 150 leagues, clubs, and teams and 16,000 users throughout 16 countries, empowering coaches, athletes, and teams to elevate their game through data-driven decision-making and video highlights and content.

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Essential commands for Linux server management

Any Linux systems administrator needs to be proficient with a wide range of commands for user management, file handling, system monitoring, networking, security and more. This article covers a range of commands that are essential for managing a Linux server. Keep in mind that some commands will depend on the

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Canada Business Group Pushes for Pipeline Expansion in Mexico

Canadian companies could help Mexico reduce its lopsided dependency on imported US natural gas by maximizing its own domestic supplies of the fuel, according to the head of Canada’s top business group. While Mexico has for decades been a major oil producer, local natural gas output has failed to keep up with demand as it instead favored imports from US suppliers, mostly across the border in Texas. But Canadian firms see opportunities to increase investment in Mexican energy, said Business Council of Canada CEO Goldy Hyder after meeting with President Claudia Sheinbaum. Executives from major pipeline builders ATCO Ltd and TC Energy Corp were present at the sit-down with the Mexican president at the Group of Seven summit in Kananaskis, Canada. “There was a general feeling that it’s in Mexico’s interest to diversify more its sources of energy. It’s dependent on natural gas in the United States. And so obviously Canada can be very helpful in that regard,” Hyder said. “We have projects that are already taking place there that are going to allow Mexicans to have energy security because the gas is in Mexico and it’s being extracted.” State-owned Petroleos Mexicanos, known locally as Pemex, has struggled for years to boost its natural gas output at home. But due to a growing network of pipelines, Mexico’s reliance on gas from Texas sharply scaled up beginning around 15 years ago as US shale projects took off. More than 70% of the Latin American economy’s demand for the fuel is now satisfied via cross-border imports. Sheinbaum met with the business council on Monday prior to her meeting with Canadian Prime Minister Mark Carney on Tuesday. US President Donald Trump’s unexpected return to Washington late on Monday led to the cancelation of what would have been his first in-person meeting with Sheinbaum.

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US electric vehicle sales are slowing amid policy shifts: BNEF

Sales are still growing, but policy changes in the United States are significantly slowing the country’s adoption of electric vehicles, BloombergNEF said Wednesday in its annual global outlook for the sector. This “is the first year where we have reduced both our near-term and long-term passenger EV adoption outlook,” BNEF said in its 2025 Electric Vehicles Outlook. “Policy changes in the US are the biggest factor, with national fuel-economy targets being rolled back, supportive elements of the Inflation Reduction Act either being removed or under threat, and the potential removal of California’s ability to set its own air quality standards.” Electric vehicles set global sales records last year, and adoption rapidly increased in emerging markets across Asia and Latin America, according to Colin McKerracher, lead author of the report and BNEF’s head of clean transport and energy storage. “Despite these positive tailwinds, we see slower EV adoption in the short and long-term due in large part to the changing landscape in the US,” McKerracher said in a statement. “This shift in global adoption will also have major impacts on the battery industry, leading to overcapacity in manufacturing.” BNEF now expects passenger EV sales in the United States to rise from 1.6 million this year to 4.1 million in 2030, to make up 27% of total passenger car sales by the end of the decade. In last year’s report, the firm had anticipated EVs would make up 48% of sales by that time. “It results in cumulative EV sales between now and 2030 being 14 million units lower,” according to the report. The impact on battery supply is significant, according to BNEF. The firm’s global battery demand outlook between 2025 and 2035 “fell 8% compared to last year’s, equating to 3.4 [TWh] fewer batteries — a majority of which (2.8 TWh) can be attributed

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Trump Revokes Biden Memo on Columbia Basin Protection

President Donald Trump has rescinded a memorandum issued by his predecessor to safeguard salmon, steelhead and other native fish populations in the Columbia River Basin. The memo, signed by Joe Biden September 2023, “placed concerns about climate change above the Nation’s interests in reliable energy resources”, the White House said in an online statement. “The MOU required the Federal government to spend millions of dollars and comply with 36 pages of onerous commitments to dam operations on the Lower Snake River”, the presidential office said. “Dam breaching would have resulted in reduced water supply to farmers, eliminated several shipping channels, had devastating impacts to agriculture, increased energy costs, and eliminated recreational opportunities throughout the region.   “The dam breaches would have eliminated over 3,000 megawatts of secure and reliable hydroelectric generating capacity – which is enough generation to power 2.5 million American homes”. Biden’s memo, meant to honor U.S. “trust and treaty responsibilities” to tribal nations and enforce safeguards under the Pacific Northwest Electric Power Planning and Conservation Act, directed all agencies with applicable authority to review their programs affecting native fish in the basin. The memo also called for the formation of an intergovernmental partnership involving tribal nations and the states of Idaho, Montana, Oregon and Washington. In December 2023 the Biden administration signed an agreement establishing a 10-year partnership with tribes, conservation groups, Oregon and Washington to restore wild fish populations, including a federal investment of over $1 billion. The agreement also enabled a 10-year break from decades-long litigation against the federal government’s operation of dams in the Pacific Northwest. Trump, through a presidential memorandum, has now directed the secretaries of energy, interior and commerce, as well as the assistant secretary of the Army for Civil Works, “to withdraw from agreements stemming from Biden’s misguided executive action, including the

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Senate Finance Committee reduces House IRA cuts, but few changes for wind and solar

Dive Brief: The Senate Finance Committee on Monday released its version of the budget bill the House passed in May, offering gentler cuts to the Inflation Reduction Act but still slashing tax incentives, especially those for wind and solar energy. The bill allows transferability for the full life of certain IRA energy tax credits, breaking with the House, which proposed ending transferability for 45Q, 45Z and 45X tax credits after 2027. The Senate proposal is particularly tough on residential solar and residential batteries, proposing that the 30% 25D tax credit for those items be phased out just 180 days after President Donald Trump signs the budget into law. Dive Insight: The Senate proposal removes the House’s tough requirement that projects must break ground within 60 days of the bill’s signing and then be placed in service by the end of 2028 to qualify for technology-neutral clean electricity production and investment tax credits. The Senate version stipulates that eligible technologies such as nuclear, geothermal and hydropower can claim the 45Y and 48E tax credits as long as they begin construction by 2033. However, it subjects wind and solar energy to different rules. Wind and solar projects would be able to qualify for 60% of these credits if they break ground by 2026, 20% if they break ground by 2027, and nothing after that. “For wind and solar, you have particularly large-scale projects that are very much in development,” said Harry Godfrey, who leads Advanced Energy United’s federal policy team. “They’re in interconnection. They are in permitting processes that have pilot agreements, but they are likely not to go to construction until ’27 or ’28, so this effectively kills those projects.” Godfrey said the legislation’s leasing prohibition on third-party wind and solar projects, along with the abrupt termination of 25D, hits the residential solar

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NRC speeds timeline for Dow/X-energy reactor permit review

Dive Brief: The U.S. Nuclear Regulatory Commission could approve construction of X-energy’s first commercial small modular reactor deployment by the end of 2026, the company said Monday. The 18-month review timeline would be significantly faster than the 36 months NRC says it takes to review a typical construction permit application and the 30 months X-energy advised in March. The accelerated timeline is due in part to the “completeness and quality of the application, and the effectiveness of pre-application engagements” since 2018, X-energy said. The four-reactor, 320-MWe plant would provide heat and power for Dow’s UCC Seadrift petrochemical plant on the Texas Gulf Coast, replacing a fossil-fuel cogeneration plant. Dow “does not expect to make a final investment decision on the project before 2028,” Dow Media Relations Director Sarah Young said in an email. Dive Insight: A final investment decision in or after 2028 would likely come as the NRC reviewed the project’s operating license application, the second of two steps in the Part 50 licensing process Dow is pursuing. In March, Dow and X-energy said construction could begin “once the permit is received and upon Dow confirming the ability to deliver the project while achieving its financial return targets,” which depend on the cost of energy produced at the plant being “competitive with other alternatives for firm, clean energy … net of all subsidies,” they said. A “clear, well-defined regulatory pathway” is helpful for X-energy as it continues work on its Xe-100 reactor design, fuel fabrication, supply chain and workforce development, all of which are “critical to the timely completion of the project,” CEO J. Clay Sell said in an email. X-energy subsidiary TRISO-X is building a fuel fabrication facility in Tennessee to supply the Seadrift plant and subsequent deployments, Sell said. In April, the U.S. Department of Energy said

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Khamenei Tells US that Iran Won’t Surrender to Israel

Iran’s Supreme Leader Ayatollah Ali Khamenei said his country won’t surrender to Israel after US President Donald Trump called for the Islamic Republic’s capitulation amid growing speculation that Washington could enter the conflict.  “The Americans should know that the Iranian nation is not one to surrender,” Khamenei said in a statement published on his official website, Khamenei.ir. He warned that if the US joined Israel’s military offensive, it would see “irreparable damage.” Khamenei also said he opposed an “imposed peace,” suggesting he would not engage in any US or Israel-led efforts to force Iran into accepting a ceasefire. Khamenei’s latest comments, which were originally scheduled to be televised, come a day after Trump said he knows where the supreme leader is “hiding” and also called for Iran’s surrender. On Tuesday, Trump and his national security team had a meeting that lasted more than hour, according to people familiar with the matter. Trump spoke with Israeli Prime Minister Benjamin Netanyahu afterward, a White House official said. No further official comments were made. Israel started its military strikes on Iran last Friday and has hit scores of targets in residential and commercial areas of the capital Tehran as well as nuclear facilities, gas fields and oil refineries.  In response Iran has fired hundreds of missiles at Israel, most of them targeting Tel Aviv. So far, at least 224 Iranians have been killed by Israel’s attacks and 24 Israelis have been killed by Iran’s strikes, according to government figures from both countries. The White House has said Trump will meet Pakistan’s army chief on Wednesday. The South Asian country – a key ally of Iran – has expressed a willingness to play a role as a mediator between the US and Iran. Pakistan’s Foreign Minister Ishaq Dar said Monday Iran is open to resuming talks

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Can Intel cut its way to profit with factory layoffs?

Matt Kimball, principal analyst at Moor Insights & Strategy, said, “While I’m sure tariffs have some impact on Intel’s layoffs, this is actually pretty simple — these layoffs are largely due to the financial challenges Intel is facing in terms of declining revenues.” The move, he said, “aligns with what the company had announced some time back, to bring expenses in line with revenues. While it is painful, I am confident that Intel will be able to meet these demands, as being able to produce quality chips in a timely fashion is critical to their comeback in the market.”  Intel, said Kimball, “started its turnaround a few years back when ex-CEO Pat Gelsinger announced its five nodes in four years plan. While this was an impressive vision to articulate, its purpose was to rebuild trust with customers, and to rebuild an execution discipline. I think the company has largely succeeded, but of course the results trail a bit.” Asked if a combination of layoffs and the moving around of jobs will affect the cost of importing chips, Kimball predicted it will likely not have an impact: “Intel (like any responsible company) is extremely focused on cost and supply chain management. They have this down to a science and it is so critical to margins. Also, while I don’t have insights, I would expect Intel is employing AI and/or analytics to help drive supply chain and manufacturing optimization.” The company’s number one job, he said, “is to deliver the highest quality chips to its customers — from the client to the data center. I have every confidence it will not put this mandate at risk as it considers where/how to make the appropriate resourcing decisions. I think everybody who has been through corporate restructuring (I’ve been through too many to count)

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Intel appears stuck between ‘a rock and a hard place’

Intel, said Kimball, “started its turnaround a few years back when ex-CEO Pat Gelsinger announced its five nodes in four years plan. While this was an impressive vision to articulate, its purpose was to rebuild trust with customers, and to rebuild an execution discipline. I think the company has largely succeeded, but of course the results trail a bit.” Asked if a combination of layoffs and the moving around of jobs will affect the cost of importing chips, Kimball predicted it will likely not have an impact: “Intel (like any responsible company) is extremely focused on cost and supply chain management. They have this down to a science and it is so critical to margins. Also, while I don’t have insights, I would expect Intel is employing AI and/or analytics to help drive supply chain and manufacturing optimization.” The company’s number one job, he said, “is to deliver the highest quality chips to its customers — from the client to the data center. I have every confidence it will not put this mandate at risk as it considers where/how to make the appropriate resourcing decisions. I think everybody who has been through corporate restructuring (I’ve been through too many to count) realizes that, when planning for these, ensuring the resilience of these mission critical functions is priority one.”  Added Bickley, “trimming the workforce, delaying construction of the US fab plants, and flattening the decision structure of the organization are prudent moves meant to buy time in the hopes that their new chip designs and foundry processes attract new business.”

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Next-gen AI chips will draw 15,000W each, redefining power, cooling, and data center design

“Dublin imposed a 2023 moratorium on new data centers, Frankfurt has no new capacity expected before 2030, and Singapore has just 7.2 MW available,” said Kasthuri Jagadeesan, Research Director at Everest Group, highlighting the dire situation. Electricity: the new bottleneck in AI RoI As AI modules push infrastructure to its limits, electricity is becoming a critical driver of return on investment. “Electricity has shifted from a line item in operational overhead to the defining factor in AI project feasibility,” Gogia noted. “Electricity costs now constitute between 40–60% of total Opex in modern AI infrastructure, both cloud and on-prem.” Enterprises are now forced to rethink deployment strategies—balancing control, compliance, and location-specific power rates. Cloud hyperscalers may gain further advantage due to better PUE, renewable access, and energy procurement models. “A single 15,000-watt module running continuously can cost up to $20,000 annually in electricity alone, excluding cooling,” said Manish Rawat, analyst at TechInsights. “That cost structure forces enterprises to evaluate location, usage models, and platform efficiency like never before.” The silicon arms race meets the power ceiling AI chip innovation is hitting new milestones, but the cost of that performance is no longer just measured in dollars or FLOPS — it’s in kilowatts. The KAIST TeraLab roadmap demonstrates that power and heat are becoming dominant factors in compute system design. The geography of AI, as several experts warn, is shifting. Power-abundant regions such as the Nordics, the Midwest US, and the Gulf states are becoming magnets for data center investments. Regions with limited grid capacity face a growing risk of becoming “AI deserts.”

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Edge reality check: What we’ve learned about scaling secure, smart infrastructure

Enterprises are pushing cloud resources back to the edge after years of centralization. Even as major incumbents such as Google, Microsoft, and AWS pull more enterprise workloads into massive, centralized hyperscalers, use cases at the edge increasingly require nearby infrastructure—not a long hop to a centralized data center—to take advantage of the torrents of real-time data generated by IoT devices, sensor networks, smart vehicles, and a panoply of newly connected hardware. Not long ago, the enterprise edge was a physical one. The central data center was typically located in or very near the organization’s headquarters. When organizations sought to expand their reach, they wanted to establish secure, speedy connections to other office locations, such as branches, providing them with fast and reliable access to centralized computing resources. Vendors initially sold MPLS, WAN optimization, and SD-WAN as “branch office solutions,” after all. Lesson one: Understand your legacy before locking in your future The networking model that connects centralized cloud resources to the edge via some combination of SD-WAN, MPLS, or 4G reflects a legacy HQ-branch design. However, for use cases such as facial recognition, gaming, or video streaming, old problems are new again. Latency, middle-mile congestion, and the high cost of bandwidth all undermine these real-time edge use cases.

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Cisco capitalizes on Isovalent buy, unveils new load balancer

The customer deploys the Isovalent Load Balancer control plane via automation and configures the desired number of virtual load-balancer appliances, Graf said. “The control plane automatically deploys virtual load-balancing appliances via the virtualization or Kubernetes platform. The load-balancing layer is self-healing and supports auto-scaling, which means that I can replace unhealthy instances and scale out as needed. The load balancer supports powerful L3-L7 load balancing with enterprise capabilities,” he said. Depending on the infrastructure the load balancer is deployed into, the operator will deploy the load balancer using familiar deployment methods. In a data center, this will be done using a standard virtualization automation installation such as Terraform or Ansible. In the public cloud, the load balancer is deployed as a public cloud service. In Kubernetes and OpenShift, the load balancer is deployed as a Kubernetes Deployment/Operator, Graf said.  “In the future, the Isovalent Load Balancer will also be able to run on top of Cisco Nexus smart switches,” Graf said. “This means that the Isovalent Load Balancer can run in any environment, from data center, public cloud, to Kubernetes while providing a consistent load-balancing layer with a frictionless cloud-native developer experience.” Cisco has announced a variety of smart switches over the past couple of months on the vendor’s 4.8T capacity Silicon One chip. But the N9300, where Isovalent would run, includes a built-in programmable data processing unit (DPU) from AMD to offload complex data processing work and free up the switches for AI and large workload processing. For customers, the Isovalent Load Balancer provides consistent load balancing across infrastructure while being aligned with Kubernetes as the future for infrastructure. “A single load-balancing solution that can run in the data center, in public cloud, and modern Kubernetes environments. This removes operational complexity, lowers cost, while modernizing the load-balancing infrastructure in preparation

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Oracle’s struggle with capacity meant they made the difficult but responsible decisions

IDC President Crawford Del Prete agreed, and said that Oracle senior management made the right move, despite how difficult the situation is today. “Oracle is being incredibly responsible here. They don’t want to have a lot of idle capacity. That capacity does have a shelf life,” Del Prete said. CEO Katz “is trying to be extremely precise about how much capacity she puts on.” Del Prete said that, for the moment, Oracle’s capacity situation is unique to the company, and has not been a factor with key rivals AWS, Microsoft, and Google. During the investor call, Katz said that her team “made engineering decisions that were much different from the other hyperscalers and that were better suited to the needs of enterprise customers, resulting in lower costs to them and giving them deployment flexibility.” Oracle management certainly anticipated a flurry of orders, but Katz said that she chose to not pay for expanded capacity until she saw finalized “contracted noncancelable bookings.” She pointed to a huge capex line of $9.1 billion and said, “the vast majority of our capex investments are for revenue generating equipment that is going into data centers and not for land or buildings.”

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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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