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ServiceNow launches AI agent command center, communication backbone

By having a governing platform in place, enterprises will be able to achieve better results with their AI agents and AI initiatives, industry watchers say. “By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors,” according to Gartner. With AI Control Tower, […]

By having a governing platform in place, enterprises will be able to achieve better results with their AI agents and AI initiatives, industry watchers say. “By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors,” according to Gartner.

With AI Control Tower, AI agents are not just assistants, but “an extension of your team” where you can delegate work, Zilbershot explained. She said that ServiceNow is enabling thousands of ready-to-work AI agents trained to solve problems, accelerate decisions, and deliver outcomes across different functions and workflows.

AI Control Tower works with the ServiceNow AI Platform to help customers monitor and manage AI agents in one place, applying consistent policies across the environment. The governance platform will also help enterprises proactively manage risk, including security and privacy, and monitor compliance across the AI lifecycle with integrated governance, risk, and compliance (GRC) policies, ServiceNow says. The platform also provides dashboards to offer operational insights to enterprise IT teams as well as validate AI performance against business outcomes and productivity. AI Control Tower, ServiceNow says, will help enterprise customers better match their AI initiatives with business and technology goals.

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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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ServiceNow launches AI agent command center, communication backbone

By having a governing platform in place, enterprises will be able to achieve better results with their AI agents and AI initiatives, industry watchers say. “By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors,” according to

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India takes first big step in Quantum Computing supremacy race

The broader vision is to create high-end jobs, attract global investment, and enable enterprises to solve previously intractable problems — such as drug discovery and real-time logistics optimization — through quantum-powered solutions. The new tech park at Amaravati will host research labs, startup incubators, and training programs to build a

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EPCOR Sells Texas Gas Utility to SiEnergy

EPCOR USA Inc., part of EPCOR Utilities Inc. (EPCOR), has signed a deal to divest its natural gas utility in Texas to SiEnergy Operating, a subsidiary of Northwest Natural Holding Co., for $60 million. Hughes Gas Resources Inc., or EPCOR Texas Gas, has about 6,900 metered connections and 353 miles of pipeline serving 12 communities northeast of Houston. “EPCOR Texas Gas, which has owned and operated the assets since 2017, is expected to have a rate base of approximately $46 million at the end of 2025”, a joint statement said. The parties expect to close the transaction this quarter. “With a similar business model as SiEnergy, Hughes has grown organically by providing infrastructure to residential and commercial developments in high-growth areas surrounding Houston”, commented Northwest Natural chief executive Justin Palfreyman. “EPCOR Texas Gas is a great fit for us as we continue to expand and diversify our overall utility portfolio in Texas”. EPCOR Utilities president John Elford said the sale is part of the company’s drive to focus on water opportunities in the state. “Our customers in Texas will benefit from SiEnergy’s substantial footprint in natural gas utilities while EPCOR continues to focus on growing its water business in the United States”, said Joe Gysel, EPCOR senior vice president for North American commercial services.  Besides SiEnergy, Northwest Natural also owns Northwest Natural Gas Co., which provides natural gas services to around 2 million people in over 140 communities through 800,000 meters in Oregon and Southwest Washington. Another Northwest Natural subsidiary, NW Natural Renewables Holdings, is investing in the production of low-carbon renewable natural gas from food, agricultural and forestry waste, landfills and wastewater. Meanwhile NW Natural Water Co. delivers water and wastewater utility services in Arizona, Idaho, Oregon, Texas and Washington. EPCOR USA provides water, wastewater, wholesale water and natural

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India’s First Offshore Decommissioning Project Completed

The Panna-Multa and Tapti (PMT) joint venture partners, Shell PLC, Reliance Industries Limited (RIL), and Oil and Natural Gas Corporation Limited (ONGC), have completed India’s first offshore facilities decommissioning project. According to ONGC, the project entailed the removal of mid and south Tapti field facilities, which ceased production in March 2016. The PMT joint venture operates the Tapti fields under a production sharing contract with the Indian government. ONGC holds a 40 percent share, while RIL and BG Exploration & Production India Ltd (BGEPIL-Shell) each hold 30 percent. ONGC said the project also involved the removal of five wellhead platforms, associated infield pipelines, load-in at the onshore dismantling yard and the safe plugging and abandonment of 38 wells – all executed in line with the approved decommissioning plan. “The project’s complexity, especially its proximity to ONGC’s live assets, demanded strategic planning, precise execution, and utmost focus on safety. It marks a defining moment in India’s energy landscape and sets a strong foundation for the next chapter in offshore infrastructure transformation”, Pankaj Kumar, Production Director at ONGC, said. To support the government’s “Make in India” vision, the PMT JV awarded contracts to Indian firms Larsen and Toubro (L&T) for offshore work and Chowgule Shipyard (CLSPL) for onshore dismantling. Offshore operations have been completed, while dismantling is ongoing at CLSPL’s Ratnagiri facilities, ONGC said. The Tapti decommissioning project has also set a benchmark for India’s regulatory and operational framework for offshore decommissioning, developed in collaboration with key stakeholders like MoPNG, DGH, and OISD, following global best practices adapted for local conditions, ONGC said. “The safe and successful completion of the Tapti offshore project is a landmark moment for India’s offshore energy sector. This project sets a new benchmark for responsible decommissioning, made possible by global expertise, strong collaboration, and an unwavering commitment to

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Why Is the USA Natural Gas Price Rising?

U.S. natural gas is trading higher today on a combination of technical factors and geopolitical tensions that pose the potential for supply disruptions. That’s what Art Hogan, Chief Market Strategist at B. Riley Wealth, told Rigzone in an exclusive interview on Wednesday when asked why the U.S. natural gas price is rising today. “Technically natgas is trading above key support of $3.47, which is the 50-day Exponential Moving Average (EMA),” Hogan said. “The next resistance sits at $3.72. On the fundamental side of things, the American Petroleum Institute data released yesterday reflected tighter supply,” he added. “Additionally, U.S. energy firms like Diamondback Energy and Coterra Energy have announced rig reductions, potentially curbing future output,” he continued. Rigzone has contacted Diamondback and Coterra for comment on Hogan’s statements. The companies have not responded to Rigzone at the time of writing. In its first quarter results statement, which was posted on the company’s website on May 5, Diamondback said it “is reducing its activity levels and lowering its capital budget to prioritize free cash generation”. In Coterra’s first quarter results statement, which was published on the company’s site on Monday, Tom Jorden, Chairman, CEO and President of Coterra, said, “we believe it is prudent to reduce oil directed activity at this time”. “As such, we are lowering Permian investment in 2025 and now expect to average seven Permian rigs during the second half of the year, down 30 percent from our original guidance of ten,” he added. “As planned, we added two natural gas focused rigs in the Marcellus in April and may keep this activity running for the balance of 2025,” he went on to state. When he was asked why the U.S. natural gas price is rising today in a separate exclusive interview, David Seduski, the head of North American

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Trump administration plans to end popular Energy Star program

Dive Brief: The Environmental Protection Agency plans to end its popular Energy Star program, according to widespread media reports. The program has helped consumers identify energy-efficient home appliances for more than 30 years. The “next phase of organizational improvements” to the EPA was announced Friday, an agency spokesperson said in an email. A current and future organization chart of impacted offices was provided. Eliminating the Energy Star program will reduce consumer access to vital information about the energy use of appliances, efficiency advocates said. “If you wanted to raise families’ energy bills, getting rid of the ENERGY STAR label would be a pretty good way,” American Council for an Energy-Efficient Economy Executive Director Steven Nadel said in a statement. Dive Insight: Energy Star was created in 1992 under President George H.W. Bush and expanded over the years as its popularity grew. The program has helped consumers save more than $500 billion in energy costs and 5 trillion kWh since its inception, according to the program website. Energy Star has “grown to become the international standard for energy efficiency and one of the most successful voluntary U.S. government programs in history,” according to the EPA. The program “and all the other climate work, outside of what’s required by statute, is being de-prioritized and eliminated,” Paul Gunning, director of EPA’s Office of Atmospheric Protection, told employees on Monday, The New York Times reported. In April, more than 1,000 companies and organizations lobbied EPA to maintain the program, noting that “a typical household can save about $450 on energy costs each year” by choosing Energy Star products. The program has more than 16,000 participating companies and organizations, including over 1,800 manufacturers, who rely on the Energy Star program “to drive consumer demand for energy efficiency.” Energy Star-certified homes — those built to meet strict energy efficiency standards set

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Navigating 4 key trends and challenges shaping the power industry

Matt Carrara is president of Doble Engineering. As the world transitions toward a more electrified and interconnected future, this will be a pivotal year for the power industry. With growing energy demands, the shift toward renewable energy and an aging workforce, utility professionals are at the forefront of solving some of the world’s most critical challenges. These trends underscore the need for bold thinking, teamwork and a relentless focus on resilience. Here are four key trends shaping the power industry this year and the strategies needed to navigate these challenges effectively. Workforce challenges: Bridging the talent gap The power industry is facing a workforce shortage as experienced professionals retire at an accelerated pace. According to the Department of Labor, nearly half of the current workforce in the sector will retire within the next decade. At the same time, non-retirement turnover has increased significantly, further compounding the talent gap. This loss of institutional knowledge coincides with a surge in electricity demand driven by electric vehicle adoption, data center expansion and renewable energy integration. The industry’s ability to attract, train and retain the next generation of workers is vital for maintaining grid reliability and enabling future innovation. To address these challenges, utilities must rethink talent acquisition and workforce development. Structured mentorship programs can facilitate knowledge transfer between retiring experts and younger professionals, preserving technical expertise and fostering leadership skills. Training programs must evolve beyond traditional methods to include digital literacy, adaptability, and proficiency in emerging technologies like AI and machine learning. Hands-on experience through advanced simulation environments can better prepare workers for modern grid management. Expanding recruitment efforts and supporting underrepresented groups will introduce fresh perspectives, enhancing industry resilience. Additionally, to compete for talent, utilities must offer competitive salaries, career growth opportunities and innovative work environments. Bringing in new talent isn’t just

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New Jersey BPU eyes potential for new nuclear

The New Jersey Board of Public Utilities on Tuesday issued a request for information to explore whether new nuclear power plants could advance the state’s goals on electricity affordability, resource adequacy and clean energy. The RFI comes as modeling for New Jersey’s upcoming Energy Master Plan indicates New Jersey will need up to 10 GW of clean, firm capacity to maintain system reliability after 2035, partly in response to growing data center demand forecasts, the BPU said. New Jersey aims to have 100% clean electricity by 2035. “As we work to push PJM to improve their interconnection queue to allow more resources like solar and storage to be built in the short-term, expanding our nuclear fleet offers the Garden State an opportunity to add new generation to our resource mix, improving reliability and affordability for ratepayers in the long-term,” Christine Guhl-Sadovy, BPU president, said in a press release. New Jersey has three nuclear power reactors: the Salem 1 and 2 units, which total 2,285 MW, and the 1,172-MW Hope Creek unit. PSEG Power owns the Hope Creek plant and 57% of the Salem capacity. The rest of the Salem plant is owned by Constellation Energy. The reactors generate 40% of New Jersey’s electricity and account for 85% of the state’s emission-free generation, according to the BPU. In the RFI, BPU staff is seeking answers to a range of questions, including how nuclear electricity production can address the needs of large loads such as AI data centers and how ratepayers can be protected from the effects of using existing nuclear power plants for data centers. Agency staff also want to know whether New Jersey should provide financial assistance or incentives for new nuclear generating capacity and how incentive programs could be designed to support the state’s economy while protecting ratepayers. “What

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Liquid cooling technologies: reducing data center environmental impact

“Highly optimized cold-plate or one-phase immersion cooling technologies can perform on par with two-phase immersion, making all three liquid-cooling technologies desirable options,” the researchers wrote. Factors to consider There are numerous factors to consider when adopting liquid cooling technologies, according to Microsoft’s researchers. First, they advise performing a full environmental, health, and safety analysis, and end-to-end life cycle impact analysis. “Analyzing the full data center ecosystem to include systems interactions across software, chip, server, rack, tank, and cooling fluids allows decision makers to understand where savings in environmental impacts can be made,” they wrote. It is also important to engage with fluid vendors and regulators early, to understand chemical composition, disposal methods, and compliance risks. And associated socioeconomic, community, and business impacts are equally critical to assess. More specific environmental considerations include ozone depletion and global warming potential; the researchers emphasized that operators should only use fluids with low to zero ozone depletion potential (ODP) values, and not hydrofluorocarbons or carbon dioxide. It is also critical to analyze a fluid’s viscosity (thickness or stickiness), flammability, and overall volatility. And operators should only use fluids with minimal bioaccumulation (the buildup of chemicals in lifeforms, typically in fish) and terrestrial and aquatic toxicity. Finally, once up and running, data center operators should monitor server lifespan and failure rates, tracking performance uptime and adjusting IT refresh rates accordingly.

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Cisco unveils prototype quantum networking chip

Clock synchronization allows for coordinated time-dependent communications between end points that might be cloud databases or in large global databases that could be sitting across the country or across the world, he said. “We saw recently when we were visiting Lawrence Berkeley Labs where they have all of these data sources such as radio telescopes, optical telescopes, satellites, the James Webb platform. All of these end points are taking snapshots of a piece of space, and they need to synchronize those snapshots to the picosecond level, because you want to detect things like meteorites, something that is moving faster than the rotational speed of planet Earth. So the only way you can detect that quickly is if you synchronize these snapshots at the picosecond level,” Pandey said. For security use cases, the chip can ensure that if an eavesdropper tries to intercept the quantum signals carrying the key, they will likely disturb the state of the qubits, and this disturbance can be detected by the legitimate communicating parties and the link will be dropped, protecting the sender’s data. This feature is typically implemented in a Quantum Key Distribution system. Location information can serve as a critical credential for systems to authenticate control access, Pandey said. The prototype quantum entanglement chip is just part of the research Cisco is doing to accelerate practical quantum computing and the development of future quantum data centers.  The quantum data center that Cisco envisions would have the capability to execute numerous quantum circuits, feature dynamic network interconnection, and utilize various entanglement generation protocols. The idea is to build a network connecting a large number of smaller processors in a controlled environment, the data center warehouse, and provide them as a service to a larger user base, according to Cisco.  The challenges for quantum data center network fabric

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Zyxel launches 100GbE switch for enterprise networks

Port specifications include: 48 SFP28 ports supporting dual-rate 10GbE/25GbE connectivity 8 QSFP28 ports supporting 100GbE connections Console port for direct management access Layer 3 routing capabilities include static routing with support for access control lists (ACLs) and VLAN segmentation. The switch implements IEEE 802.1Q VLAN tagging, port isolation, and port mirroring for traffic analysis. For link aggregation, the switch supports IEEE 802.3ad for increased throughput and redundancy between switches or servers. Target applications and use cases The CX4800-56F targets multiple deployment scenarios where high-capacity backbone connectivity and flexible port configurations are required. “This will be for service providers initially or large deployments where they need a high capacity backbone to deliver a primarily 10G access layer to the end point,” explains Nguyen. “Now with Wi-Fi 7, more 10G/25G capable POE switches are being powered up and need interconnectivity without the bottleneck. We see this for data centers, campus, MDU (Multi-Dwelling Unit) buildings or community deployments.” Management is handled through Zyxel’s NebulaFlex Pro technology, which supports both standalone configuration and cloud management via the Nebula Control Center (NCC). The switch includes a one-year professional pack license providing IGMP technology and network analytics features. The SFP28 ports maintain backward compatibility between 10G and 25G standards, enabling phased migration paths for organizations transitioning between these speeds.

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Engineers rush to master new skills for AI-driven data centers

According to the Uptime Institute survey, 57% of data centers are increasing salary spending. Data center job roles that saw the highest increases were in operations management – 49% of data center operators said they saw highest increases in this category – followed by junior and mid-level operations staff at 45%, and senior management and strategy at 35%. Other job categories that saw salary growth were electrical, at 32% and mechanical, at 23%. Organizations are also paying premiums on top of salaries for particular skills and certifications. Foote Partners tracks pay premiums for more than 1,300 certified and non-certified skills for IT jobs in general. The company doesn’t segment the data based on whether the jobs themselves are data center jobs, but it does track 60 skills and certifications related to data center management, including skills such as storage area networking, LAN, and AIOps, and 24 data center-related certificates from Cisco, Juniper, VMware and other organizations. “Five of the eight data center-related skills recording market value gains in cash pay premiums in the last twelve months are all AI-related skills,” says David Foote, chief analyst at Foote Partners. “In fact, they are all among the highest-paying skills for all 723 non-certified skills we report.” These skills bring in 16% to 22% of base salary, he says. AIOps, for example, saw an 11% increase in market value over the past year, now bringing in a premium of 20% over base salary, according to Foote data. MLOps now brings in a 22% premium. “Again, these AI skills have many uses of which the data center is only one,” Foote adds. The percentage increase in the specific subset of these skills in data centers jobs may vary. The Uptime Institute survey suggests that the higher pay is motivating workers to stay in the

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ExtraHop looks to eliminate ‘extra hops’ in NDR stack

This deep visibility allows ExtraHop to provide insights across the entire network stack, from basic connectivity to application-level transactions. “The benefit of going all the way through Layer 7 is I can actually see a database transaction going through on the wire,” Vasani said. “If you have application teams complaining about database query latency, we can map it to what session was that tied to and what flows was it tied to from a network perspective and is this really an app server issue, or is it a network issue, or is it an endpoint issue?” The new sensor integrates with ExtraHop’s RevealX platform, feeding telemetry into the company’s cloud-scale ML/AI engine that powers its detection and analysis capabilities. “The sensor collects the telemetry, feeds it into an ML/AI engine that sits in the cloud, and then we layer in workflow engines on top to enable the various use cases,” Vasani said. In modern distributed enterprise environments, network visibility must extend beyond traditional data centers. ExtraHop’s all-in-one sensor is designed to address this reality with deployment options that span physical appliances, virtual machines and cloud environments. ExtraHop has both virtual and physical hardware appliances for sensor deployment. ExtraHop sensors can plug into a network through multiple methods including, Network Tap, SPAN (Switched Port Analyzer) port, packet broker or a cloud provider’s vTAP capabilities.

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AI’s energy appetite drives interest in nuclear power

In its new report, Deloitte said that its analysis of figures from the World Nuclear Association, the American Nuclear Society, the U.S. Department of Energy, and others showed that new nuclear power could potentially meet about 10% of the projected increase in data center demand over the next decade, assuming capacity is also significantly expanded by between 35GW and 62GW, and 30% of the expansion is earmarked for data centers. “Nuclear energy presents a potential solution for meeting some of the growing electricity demands of data centers, with its reliable and clean energy profile,” Deloitte’s report said, noting five key advantages of the technology: Reliable baseload power: Nuclear reactors operate 24/7, regardless of the weather, providing the reliable power so important to data centers. In addition, Deloitte said, “Their capacity factor, exceeding 92.5%, outperforms other sources like natural gas (56%) and renewables like wind (35%) and solar (25%).” High energy density: A small amount of fuel generates a lot of power, which minimizes the need for fuel storage and transportation. “This efficiency can translate to a smaller physical footprint and enhanced sustainability,” Deloitte said. Scalable power output: A full-sized reactor typically generates 800 megawatts (MW) or more of electricity, which accommodates the needs of large data centers. Low carbon emissions: Nuclear power plants produce virtually no greenhouse gas emissions during operation. Enhanced land use efficiency: Compared to other energy sources, nuclear power plants require relatively little land. Gartner’s Johnson echoed these advantages, and also predicted that nuclear energy, and small modular reactors (SMRs) in particular, will “provide a viable answer” to the question of what to do when electricity demand exceeds supply. They can, he said, “ensure independence from grid power fluctuations by providing dedicated on-site power for large data centers.” However, both Gartner and Deloitte also highlighted challenges in

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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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