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Ben Sooter reposted thisBen Sooter reposted this𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗖𝗵𝗮𝘂𝗻𝗰𝗲𝘆™, 𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗘𝗣𝗥𝗜.𝗔𝗜 We’re excited to announce the launch of Chauncey™, Powered by EPRI.AI, EPRI’s new smart search experience. Chauncey is designed to make EPRI research faster and easier to discover—delivering more relevant results, clearer insights, and a more intuitive way to explore the depth of EPRI knowledge. It’s a major step forward in how we connect our members with the research and expertise they rely on. Named in honor of EPRI founder 𝗖𝗵𝗮𝘂𝗻𝗰𝗲𝘆 𝗦𝘁𝗮𝗿𝗿, this new experience reflects the same principles that have guided EPRI from the beginning: rigorous science, independence, and a commitment to practical impact. Just as Dr. Starr helped establish EPRI as a trusted convener for the energy sector, Chauncey helps users navigate complex challenges with greater speed and confidence. Chauncey is also the first of several AI‑enabled experiences planned as part of the broader 𝗘𝗣𝗥𝗜.𝗔𝗜 platform—bringing responsible, purposeful AI into how we deliver value through research. Log in today to experience Chauncey for yourself! https://lnkd.in/e_HqS3MT
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Ben Sooter reposted thisBen Sooter reposted thisToday EPRI released an open letter at CERAWeek signed by more than 30 members of the power and digital infrastructure industries -- including hyperscalers, utilities, ISO/RTOs, and others -- calling for industry-wide collaboration on a standardized approach for integrating large flexible loads. "Today’s interconnection and planning processes rely heavily on worst case assumptions about load behavior," the letter states. "While prudent from a reliability perspective, these assumptions could change when planning with flexibility in mind." The letter continues: "We call on: ● 𝐔𝐭𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐚𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦 𝐨𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 to engage with shared flexibility framework as a tool to unlock capacity and reduce interconnection friction. ● 𝐋𝐨𝐚𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐚𝐧𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 to design for flexibility and adopt common performance definitions. ● 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐬 𝐚𝐧𝐝 𝐩𝐨𝐥𝐢𝐜𝐲𝐦𝐚𝐤𝐞𝐫𝐬 to enable pathways that recognize flexibility as a legitimate, reliability enhancing resource. ● 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐜𝐨𝐧𝐬𝐨𝐫𝐭𝐢𝐚 𝐚𝐧𝐝 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐛𝐨𝐝𝐢𝐞𝐬 to align efforts and avoid fragmentation." Signatories include North American Electric Reliability Corporation (NERC), Google, Meta, NVIDIA, Compass Datacenters, Southern Company, Entergy, Exelon, DTE Energy, Arizona Public Service - APS, Constellation, MISO, SPP, CAISO, and others. To address this bottleneck, today EPRI is launching Flex MOSAIC, a uniform flexibility classification framework for large electric loads, developed through its DCFlex initiative in collaboration with more than 65 utilities, system operators, regulators, hyperscalers, and technology providers. With thanks to EPRI, Arshad Mansoor, Anuja Ratnayake and their team members for their leadership. Letter: https://lnkd.in/gNGimfGU Release: https://lnkd.in/g4R5-jnN
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Ben Sooter reposted thisBen Sooter reposted thisEPRI has arrived at CERAWeek 2026! As global energy demand accelerates, driven in part by AI and data center growth, EPRI experts will be part of key conversations throughout the week on flexibility, system design, and execution at scale. Here’s where to find EPRI this week: 👉 𝗠𝗼𝗻𝗱𝗮𝘆, 𝗠𝗮𝗿𝗰𝗵 𝟮𝟯: 𝙒𝙝𝙚𝙣 𝘿𝙖𝙩𝙖 𝘾𝙚𝙣𝙩𝙚𝙧𝙨 𝙁𝙡𝙚𝙭: 𝙉𝙚𝙬 𝙋𝙖𝙩𝙝𝙨 𝙩𝙤 𝙋𝙤𝙬𝙚𝙧𝙞𝙣𝙜 𝘼𝙄 𝙂𝙧𝙤𝙬𝙩𝙝 Featuring EPRI's Vice President of Global Partnerships and Outreach Morgan M. Scott and Vice President of Electrification and Sustainable Energy Strategy David Porter. 🔗 https://lnkd.in/gut5kwjT 👉 𝗧𝘂𝗲𝘀𝗱𝗮𝘆, 𝗠𝗮𝗿𝗰𝗵 𝟮𝟰: 𝙇𝙤𝙖𝙙 𝙩𝙤 𝘼𝙨𝙨𝙚𝙩: 𝘿𝙖𝙩𝙖 𝘾𝙚𝙣𝙩𝙚𝙧𝙨 𝙖𝙨 𝙎𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙨 𝙩𝙤 𝙋𝙤𝙬𝙚𝙧 𝘾𝙤𝙣𝙨𝙩𝙧𝙖𝙞𝙣𝙩𝙨 Featuring EPRI’s Vice President Morgan M. Scott. 🔗 https://lnkd.in/eS-UgFWJ 👉 𝗪𝗲𝗱𝗻𝗲𝘀𝗱𝗮𝘆, 𝗠𝗮𝗿𝗰𝗵 𝟮𝟱: 𝘼𝙘𝙘𝙚𝙡𝙚𝙧𝙖𝙩𝙞𝙣𝙜 𝙩𝙝𝙚 𝙁𝙪𝙩𝙪𝙧𝙚 Featuring EPRI President and CEO Arshad Mansoor. 🔗 https://lnkd.in/e_xVsERt 👉 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆, 𝗠𝗮𝗿𝗰𝗵 𝟮𝟲: 𝙎𝙮𝙨𝙩𝙚𝙢 𝘿𝙚𝙨𝙞𝙜𝙣: 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 𝙖 𝙁𝙡𝙚𝙭𝙞𝙗𝙡𝙚 𝙖𝙣𝙙 𝙍𝙚𝙡𝙞𝙖𝙗𝙡𝙚 𝙂𝙧𝙞𝙙 Featuring EPRI President and CEO Arshad Mansoor. 🔗 https://lnkd.in/eaazMjm2 From data center flexibility to grid system design, EPRI is contributing research‑driven insight to some of the most urgent challenges shaping the energy transition.
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Ben Sooter reposted thisBen Sooter reposted thisHow can smaller, distributed data centers help meet the growing demands of the AI era without overburdening the grid? In a recent discussion, Ben Sooter, EPRI Director of Agentic AI Initiatives & Distributed AI Architecture, and Bal Aujla from InfraPartners explore a different path forward: smaller, distributed data centers built for the AI era. Through a collaboration between EPRI, Prologis, NVIDIA, and InfraPartners, the team is studying micro data centers (5–20 MW) that can be deployed at or near utility substations with available grid capacity. These sites could be brought online quickly, placing AI inference closer to where data is generated and used, making better use of underutilized infrastructure, and easing strain on congested transmission systems. 🔗 Read more about the collaboration and what it could mean for the future of energy and AI: https://lnkd.in/ekdX8gxcCollaboration to develop smaller data centres for the AI eraCollaboration to develop smaller data centres for the AI era
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Ben Sooter reposted thisBen Sooter reposted this🎥 ‘Collaboration to develop smaller data centres for the AI era’ Ben Sooter, Director of Agentic AI Initiatives & Distributed AI Architecture at EPRI, and Bal Aujla, Director, Head of Advanced Research and Engineering, InfraPartners, discuss the collaboration between EPRI, Prologis, NVIDIA, and InfraPartners to study smaller-scale data centres designed for distributed inference. The collaborators will assess the deployment of micro data centres - ranging from 5 to 20 megawatts - at or near utility substations with available grid capacity that can be quickly set up. The goal is to bring inference capabilities - the process of generating real-time responses from trained models - closer to where data is generated and consumed, while making better use of underutilised infrastructure and reducing pressure on congested transmission systems. Click the link to watch🔗 https://lnkd.in/ekdX8gxc #DCSMagazine #DCS #datacentresolutions #datacentresCollaboration to develop smaller data centres for the AI eraCollaboration to develop smaller data centres for the AI era
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Ben Sooter reposted thisBen Sooter reposted this🚨 EPRI is Hiring: Program Manager – Cyber Security for Energy Delivery Systems 🚨 EPRI is seeking a Program Manager to lead our Cyber Security for Transmission, Distribution, and Grid Edge Systems research program. This is a highly visible leadership role focused on shaping strategy, driving impactful R&D, and partnering closely with utilities and industry stakeholders to strengthen cyber security across power delivery systems. This role is ideal for someone with deep experience in utility OT/ICS security, incident and threat management, and strong engagement with utility executives and practitioners. You’ll lead a multidisciplinary portfolio covering T&D systems, DERs, grid‑edge technologies, and cyber security analytics—while helping translate industry challenges into actionable research and real‑world solutions. If you or someone in your network has a passion for advancing cyber security in the electric sector, I’d love to connect or share more details. Feel free to message me directly or apply through the link below. 👉 https://lnkd.in/gsVfZJWa #CyberSecurity #GridSecurity #EnergyInustry #GridModernization
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Ben Sooter reposted thisBen Sooter reposted this⚡Thank you Jensen Huang for featuring Emerald AI in your NVIDIA GTC 2026 keynote! Delighted to announce our partnership with NVIDIA today on DSX Flex to transform AI Factories into power-flexible, interactive grid assets, and the results of our fifth commercial demonstration with NVIDIA, Portland General Electric, and EPRI of AI flexibility in Hillsboro, OR. 🔗Read our press release here: https://lnkd.in/e_-JBEcv 🔗And see NVIDIA's release announcing DSX Flex, Emerald AI, and the overall DSX reference architecture here: https://lnkd.in/eriAgk4b 🙏🏼A big thank you to Vladimir Troy and the incredible NVIDIA team leading the DSX vision and ecosystem. Grateful to collaborate with Constant Sanciaume, Scott Wallace Andria Zou Satej D. Eric Kumar Rhys Davies Steve McDaniel Ajay Kamalvanshi Harry Petty Kira Sarkisian Ahsan Yousufzai as well as the fantastic teams at EPRI (Frank Sharp Anuja Ratnayake) and PGE (Maria Pope Ananth S. Larry Bekkedahl Andrew Mann) and so many other colleagues. Grateful also to Madison Huang Marc Spieler Josh Parker Shanker Trivedi Nico Caprez for your executive sponsorship. Excited to unlock hundreds of GW of power capacity worldwide to turbocharge AI Factory deployment 🚀
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Ben Sooter shared this🚨 “There’s room for everyone in this gold rush.” ⚡🤖 Had a great discussion with Phil Alsop from Data Centre Solutions alongside Bal Aujla from InfraPartners about our collaboration with EPRI, NVIDIA, Prologis, and InfraPartners to explore a new model for AI infrastructure: micro data centers for distributed inference. Most of the attention right now is on massive AI training campuses — hundreds of megawatts, sometimes gigawatts. But another compute wave is coming. As AI applications scale, the industry will need thousands of smaller inference nodes that sit closer to users, devices, and the networks where data is created and consumed. And that’s where this project starts to get interesting. ⚡ “When data centers sit next to substations, they can actually become a grid asset instead of just a load.” Instead of waiting years for new transmission, we can look at underutilized distribution infrastructure and deploy 5–20MW micro data centers near substations with available capacity. That opens up some powerful possibilities: 🔌 Faster speed-to-power for AI infrastructure 🏗 Better utilization of existing utility assets 🌐 Distributed inference closer to end users ⚡ Data centers that can respond to grid signals and shift workloads 💬 “There’s room for everyone in this gold rush.” Hyperscale AI factories will absolutely continue to grow. But alongside them, we’re likely to see a new layer of distributed compute infrastructure emerge — modular, repeatable, and deeply integrated with the grid. Think of it as AI infrastructure that works with the power system instead of just drawing from it. We’re still early in this journey, but the combination of modular data centers, distributed inference, and grid-aware software orchestration could unlock a whole new architecture for AI compute. Watch the Full Interview: https://lnkd.in/eAYGFZPX #AIInfrastructure #DataCenters #DistributedAI #GridFlexibility
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Ben Sooter reposted thisBen Sooter reposted thisNew Large Load White Paper from NERC: "Assessment of Gaps in Existing Practices, Requirements, and Reliability Standards for Emerging Large Loads NERC Large Loads Working Group White Paper" Webinar - Monday, March 16, 2026 12:00 PM - 1:00 PM (UTC-04:00) Eastern Time (US & Canada) https://lnkd.in/etDbq_Sv Link to the whitepaper - https://lnkd.in/e6_bX--A More info from NERC Large Load Task Force here - https://lnkd.in/em898EcZ And related - EPRI's https://dcflex.epri.com/ efforts! PS a couple of our EPRI colleagues were cited contributors Lakshmi Sundaresh and Parag Mitra!!!! 😊
Ben Sooter commented on a post
1mo
Great discussion with the NVIDIA AI team. As AI applications shift toward real-time inference and agentic workloads, the infrastructure supporting them will need to evolve as well. Distributed micro data centers located near utility substations present a promising path to leverage existing grid capacity, reduce latency, and accelerate deployment timelines. Excited to continue collaborating with NVIDIA, Prologis, InfraPartners, and utilities to explore this emerging model!
Ben Sooter commented on a post
1mo
Thanks to NVIDIA AI and Noah Kravitz for the great conversation. The intersection of AI and the electric grid is becoming one of the most important infrastructure challenges of this decade. Distributed micro data centers offer a promising way to support low-latency AI workloads while making better use of existing substation capacity. Excited to keep the dialogue going with utilities and technology partners!
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Ben Sooter liked thisBen Sooter liked thisWhat an outstanding gathering last week at the SCADA User Group! It was genuinely refreshing to connect with so many talented professionals, share insights, and dive deep into the future of industrial control systems, field instrumentation, and final control elements. The energy, the conversations, and the learning were top-notch. Every presentation was excellent, and I particularly enjoyed Connie’s presentation on cost justification to management — very insightful and practical! A huge thank you to Randy and Doug for putting together such a valuable event — your efforts made it a real success! Looking forward to staying connected and continuing these important discussions. #SCADA #IndustrialAutomation #ICS #Instrumentation #TEAM
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Ben Sooter liked thisBen Sooter liked thisIs There a GPU Rental Squeeze? We are entering a period in which constraints on AI hardware and data centers will become more consequential, impacting pricing and business decisions. Research firm SemiAnalysis says demand for GPUs has surged as new AI tools have improved, making it more difficult and expensive to procure GPU capacity. The firm says the 1-year cost of renting an H100 GPU has risen 40% over the past 6 months. Meanwhile CoreWeave says it lined up $8.5 billion an investment-grade rated financing secured by HPC infrastructure and a customer contract. The two data points suggest these are interesting times for the AI market and the value of the NVIDIA chips at the heart of the AI boom. This week's other links: - Are data centers creating "heat islands?" - Could data centers become trickier to insure? - Emerald AI raises $25 million for grid-flexible data centers. Are you tracking trends in the AI and data center sector? You should check out our weekly newsletter offering 5 Notable Data Center Links and why they matter: https://lnkd.in/eMqi6yfm
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Ben Sooter liked thisBen Sooter liked thisSB Energy is innovating and executing our digital infrastructure and energy business at a high-level, case in point, the recent press release about our partnership with OpenAI: https://lnkd.in/eh9VVwRE. We are seeking an experienced individual to join our Engineering & Innovation team and lead new product introduction of promising innovations into commercial projects, especially focused on advanced energy and datacenter projects that push the bounds of the status quo. Learn more and apply here: https://lnkd.in/eH2u7rAp #Hiring #EnergyInnovation #CleanEnergy #DataCenterInfrastructure #EnergyStorage #EngineeringJobs #ClimateTech #AIandEnergy
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Ben Sooter liked thisBen Sooter liked thisSay hi to Muse Spark 🥑 ! Excited to share our new foundation model series from the Meta Superintelligence Lab called Muse. Our first release, called Spark, is a new natively multimodal reasoning model that has support for tool-use, visual CoT and multi-agent orchestration. We've seen it do really well on tasks ranging from health to shopping to and even orchestrates multiple agents over complex scientific queries. This has been over a year worth of work with several teams rearchitecting every part of our stack - from pre-training, to data pipelines, to RL post-training. So consider this the first step - we're going to releasing several more models and vertical applications over the next few months across our family of applications. Start by playing with the model on meta.ai and give us feedback. Excited to share this with billions of people!
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Ben Sooter liked thisBen Sooter liked thisHeaded to FirstEnergy, a proud American energy company, as their new Chief Security Officer! Sophisticated threats aren’t slowing, so we will continue to invest in cybersecurity and risk reduction measures to maintain a reliable and secure system. Protecting the nation's most critical assets requires a tireless commitment to security and I’m proud to help strengthen FirstEnergy’s efforts.
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Ben Sooter liked thisBen Sooter liked this𝗙𝗿𝗼𝗺 𝗥𝗲𝗰𝗼𝘃𝗲𝗿𝘆 𝘁𝗼 𝗥𝗲𝗻𝗲𝘄𝗮𝗹: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝗙𝘂𝗸𝘂𝘀𝗵𝗶𝗺𝗮 𝗮𝗻𝗱 𝗝𝗮𝗽𝗮𝗻’𝘀 𝗘𝗻𝗲𝗿𝗴𝘆 𝗙𝘂𝘁𝘂𝗿𝗲 I recently had the opportunity to engage with energy leaders across Japan. I left the country with deep gratitude and respect—for the resilience of the Japanese people and the dedication of TEPCO - Tokyo Electric Power Company in confronting the tragedy of March 11, 2011. The tsunami took hundreds of thousands of lives and caused unprecedented damage at the Fukushima Daiichi and Daini nuclear plants. The weight of that day still matters. More than a decade later, I visited the Fukushima Restoration Archive and the Daiichi site. The progress in decommissioning is real, grounded in science, engineering rigor, and an unwavering commitment to safety. What stood out most was the people—their discipline, humility, and quiet determination. That resilience is translating into action across Japan’s energy system. This month, the 𝗞𝗮𝘀𝗵𝗶𝘄𝗮𝘇𝗮𝗸𝗶‑𝗞𝗮𝗿𝗶𝘄𝗮 𝗽𝗹𝗮𝗻𝘁 𝗿𝗲𝘀𝘁𝗮𝗿𝘁𝘀, a meaningful milestone that reflects years of technical work, regulatory engagement, and public trust‑building. Beyond restarts, Japan is also looking ahead—evaluating new nuclear construction such as 𝗛𝗶𝗴𝗮𝘀𝗵𝗼𝗿𝗶 to help meet growing electricity demand. Shortly after the Fukushima tragedy, EPRI stepped in. Our colleague Rosa Yang traveled to Japan just days after the event, and since then, the institute and TEPCO have worked together on decommissioning and recovery. It has been a long collaboration built on trust, technical depth, and shared purpose. I am especially grateful to 𝗞𝗮𝘁𝘀𝘂𝗮𝗸𝗶 𝗢𝗵𝗮𝘀𝗵𝗶 for guiding us through the sites and providing detailed explanations of the decommissioning systems. I would also like to thank 𝗠𝗮𝘀𝗮𝗸𝗶 𝗬𝗮𝗺𝗮𝘁𝗼, 𝗞𝗲𝗶𝘁𝗮 𝗦𝗮𝘁𝗼, 𝗮𝗻𝗱 𝗡𝗮𝗼𝗸𝗶 𝗠𝗮𝗲𝘀𝗵𝗶𝗿𝗼 for sharing insights about TEPCO and Fukushima Daiichi’s AI initiatives and ongoing projects, as well as 𝗠𝘂𝗻𝗲𝗻𝗼𝗿𝗶 𝗧𝗮𝗻𝗮𝗸𝗮 𝗮𝗻𝗱 𝗡𝗼𝗿𝗶𝗺𝗶𝗰𝗵𝗶 𝗬𝗮𝗺𝗮𝘀𝗵𝗶𝘁𝗮 for accompanying me throughout the visit and sharing their perspectives. The first of a multi-part story focused on the institute’s ongoing efforts to support the nuclear industry in Japan was published in this EPRI Journal article: https://lnkd.in/giAqJ37Y #EnergyLeadership #NuclearEnergy #Fukushima #KKRestart #Decommissioning #Resilience #GlobalCollaboration #Japan Photo source: Tokyo Electric Power Company Holdings, Inc.
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Ben Sooter liked thisIf you work for an EPRI member, login today, hit the search icon, and put in a request to Chauncey that will save you some time. Asks like this got a lot of great feedback "Use EPRI information to help me decide between motor repair vs replacement for medium-voltage motors, including decision criteria (risk, efficiency, reliability, lead time) that I can use to build a business case?" "How do I complete a 900 MHz propagation study for utility field communications, using EPRI-recommended methodology (data inputs, modeling approach, validation steps), and what EPRI references should I follow?" Not only are the answers grounded in EPRI research - there's also guidance for additional research; contacts in your company, in EPRI, and in the industry; and links to upcoming and past event information: all relevant to your question. Special thanks to the product team for making this a reality in just a few, short months: Dr. Jayakumar Manoharan, Christopher Plunkett, Preethi Chappidi, Cheryl Pham, Zelalem S., Darian Ray, Yamini Sehgal, Chris Howe, Parthiban Ravindran, Bradley Thomas, Matt Petree, Amir Jalalian, Robb McMahan Also, to EPRI.ai Steering Committee for their leadership: Daniel Brooks, Rémi Raphael, PhD, Morgan M. Scott, Zaid AlAnsari, Ritu Batra, David A Brown, Michael Caravaggio, David Caron Finally, to all of the EPRI staff and members who took time out for Beta testing to make this the solid product it is: Thanks so much! We'll continue to build on your observations and suggestions.Ben Sooter liked this𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗖𝗵𝗮𝘂𝗻𝗰𝗲𝘆™, 𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗘𝗣𝗥𝗜.𝗔𝗜 We’re excited to announce the launch of Chauncey™, Powered by EPRI.AI, EPRI’s new smart search experience. Chauncey is designed to make EPRI research faster and easier to discover—delivering more relevant results, clearer insights, and a more intuitive way to explore the depth of EPRI knowledge. It’s a major step forward in how we connect our members with the research and expertise they rely on. Named in honor of EPRI founder 𝗖𝗵𝗮𝘂𝗻𝗰𝗲𝘆 𝗦𝘁𝗮𝗿𝗿, this new experience reflects the same principles that have guided EPRI from the beginning: rigorous science, independence, and a commitment to practical impact. Just as Dr. Starr helped establish EPRI as a trusted convener for the energy sector, Chauncey helps users navigate complex challenges with greater speed and confidence. Chauncey is also the first of several AI‑enabled experiences planned as part of the broader 𝗘𝗣𝗥𝗜.𝗔𝗜 platform—bringing responsible, purposeful AI into how we deliver value through research. Log in today to experience Chauncey for yourself! https://lnkd.in/e_HqS3MT
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Ben Sooter liked thisBen Sooter liked this𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗖𝗵𝗮𝘂𝗻𝗰𝗲𝘆™, 𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗘𝗣𝗥𝗜.𝗔𝗜 We’re excited to announce the launch of Chauncey™, Powered by EPRI.AI, EPRI’s new smart search experience. Chauncey is designed to make EPRI research faster and easier to discover—delivering more relevant results, clearer insights, and a more intuitive way to explore the depth of EPRI knowledge. It’s a major step forward in how we connect our members with the research and expertise they rely on. Named in honor of EPRI founder 𝗖𝗵𝗮𝘂𝗻𝗰𝗲𝘆 𝗦𝘁𝗮𝗿𝗿, this new experience reflects the same principles that have guided EPRI from the beginning: rigorous science, independence, and a commitment to practical impact. Just as Dr. Starr helped establish EPRI as a trusted convener for the energy sector, Chauncey helps users navigate complex challenges with greater speed and confidence. Chauncey is also the first of several AI‑enabled experiences planned as part of the broader 𝗘𝗣𝗥𝗜.𝗔𝗜 platform—bringing responsible, purposeful AI into how we deliver value through research. Log in today to experience Chauncey for yourself! https://lnkd.in/e_HqS3MT
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