AI transforms data center power infrastructure evaluation

Join Rehlko experts Pierre Adrien Bel, Robert Danforth, and Justin Lenoff, MEM, for a DatacenterDynamics broadcast on how AI is changing the way data center operators evaluate power infrastructure readiness. Tune in to unpack the industry's shift from installed capacity to real-world performance, covering dynamic AI workloads, reliability under load, energy storage and controls, and the use of digital twins and simulation to validate system performance. 🔗 Register here: https://ow.ly/ZLJ830sXwnt

Managing AI infrastructure in silos is officially a thing of the past. Join us for the Vertiv Management & Operations Innovation Day 2026, a three-episode broadcast diving into system-level design, predictive intelligence, and liquid cooling management for AI-scale operations. Hear directly from Vertiv experts Martin Olsen, Veselin Pizurica, Leonard Donnelly, and Eyad Muammar as they share strategies to eliminate commissioning delays, shift to real-time predictive monitoring, and safeguard the thermal chain. Register now to future-proof your data center operations: https://okt.to/Ewgb3e

Need to improve safety and reliability while reducing O&M spend? It's July and time for the 2026 NIRMA Symposium in San Antonio, Texas! Visit DataGlance's Booth to learn about DataGlance's revolutionary new ePlanning generative AI assisted work planning solution that reduces online and outage maintenance work order planning time and resources. ePlanning, powered by Nuclearn's proven generative AI solution, accurately and consistently develops all task and resource elements of an ideal work order meeting regulatory requirements, industry best practices, and utility business standards. Want to learn more? DataGlance will also showcase its transformative eWork electronic work package (eWP) and eDocument computer-based procedure (CBP) solutions. These solutions enhance safety, heighten reliability, and reduce O&M spend at a rate that's over 2.5 times that of other solutions. Stop by DataGlance's Booth to see how our proven solutions can improve your organization's performance!

What happens when human-led network operations can't keep up with the data? On Wednesday, August 19th, UCL Swift Americas' Tracy Winnitoy, MBA, B.Comm moderates "Using AI to Solve NextGen Fiber Network Readiness," a panel on how operators are using AI to unify siloed data, predict degradation, and prevent outages before the truck roll. Joining Tracy: Francis Alueta of altafiber/Hawaiian Telcom, Mike Grice of Patriot Broadband Technologies, Todd Jackson of the Fiber Broadband Association, and Tommy Nolen of Conway Corporation. 2:30 PM, Room 207AB. Come find us at Booth #1123.

Everyone talks about AI clusters, cooling, and power. Almost no one talks about the circuits that actually move the data. One undocumented migration. One renewal that slips. One A-End to Z-End path that no longer matches reality. That’s when the chaos starts. Downtime doesn’t always come from a failed server or a thermal event. Sometimes it comes from a connection no one was watching — and the cost is measured in hours, revenue, and trust. Physical connectivity is the quiet foundation everything else stands on. Most teams still manage it with spreadsheets, tribal knowledge, and hope. We’re building the operational layer that finally tracks every circuit, every change, every risk. Orbnex Connect. See the full picture before the next outage finds it → OrbnexConnect.com

Team CBI will be in Orlando for Battcon 2026 (26-29 July) Dr. Matthew Raiford, will co-lead the Stationary Battery Basics course, and speak at the Advanced Technology Breakout session; an interactive workshop is for those who are curious about emerging battery technologies and non-battery alternatives. Dr Raiford will also presenting the 'CBI Battery Roadmap: A Look at Goals for Batteries for AI and ESS' session on Tuesday morning. Dr. Alyssa McQuilling, will join a panel of industry experts for the session ‘Training the Battery Workforce’ session, which will explore how the industry can prepare the next generation of battery professionals. We look forward to connecting with our members, and new and familiar faces alike. There’s still time to register before the event next week: https://lnkd.in/e-VGPceU #Battcon2026 #stationaryBatteries #BatteryInnovation Alistair Davidson

'Redefining line systems with multi-rail photonics' In the Next-Gen Networks feature of our most recent edition of Data Centre & Network News - DCNN, Paulina Gomez, Director, Portfolio Marketing at Ciena, explores how multi-rail photonic architectures are emerging to support the unprecedented bandwidth, scalability, and deployment requirements of next-generation AI networks. Read the full article here: https://lnkd.in/eGeDHayP

Anyone currently evaluating their preconstruction process and determining where and how AI could improve their workflows won't want to miss hearing from Duhita Kothe, project manager at Crusoe, at the upcoming Buildings Conference: Data Centers and AI Infrastructure! Duhita's session explores the pragmatic reality of artificial intelligence in construction by evaluating its current capabilities and limitations specifically within material and quantity takeoffs. Read the full abstract and learn how to reserve your spot: https://lnkd.in/gei5Cv_U

A traffic Digital Twin that moves from detection to decisions SMART-TWIN explores how lane-level traffic simulation and machine learning could help identify normal traffic, signal-failure stop-and-go conditions, and one- or two-lane closures. Using a simulated intersection in Fresno, the study’s Random Forest model achieved approximately 99.9% classification accuracy under controlled test conditions. Many of the modelled disruptions were identified within one or two 10-minute intervals. The framework then translates the detected traffic state into estimates for backlog, delay and value-of-time impacts, creating a potential route from network monitoring to operational decision support. The important qualification is that this was a simulation-based Phase I demonstration. Live sensor integration, field validation and testing against noisy or incomplete data would still be required. #DigitalTwin #TransportTechnology #TrafficManagement #Infrastructure

A utility already replaced hardware spend with smarter data, and it worked. That's the argument Robbert Lodewijks at HULO.ai makes at the European Water Leakage Summit, and it cuts directly against the four stories in this week's 𝑼𝒕𝒊𝒍𝒊𝒕𝒚 𝑩𝒓𝒊𝒆𝒇: a $𝟐𝟏𝟗 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 sensor acquisition, a £𝟏𝟑𝟗.𝟖 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 acoustic detection tender, a university algorithm outperforming the hardware utilities keep buying, and one utility's nine-year head start on all of it. Alfredo Garcia Vergara of leakmited and Jonas Porzelt from Diehl Metering are tackling the same tension from different angles, one scaling acoustic detection network-wide, the other pulling AI insight from data utilities already have. Daniel Bott of JUMO Nederland and Inge Diamond from Intellihub Group Australia round out the room, working the sensor and metering side of the same problem. The question every session in Amsterdam keeps circling back to: how much of this spend is buying visibility, and how much is buying a shortcut around better data. Should utilities interpret the data they already have before buying more sensors to collect even more of it? #WaterInfrastructure #NonRevenueWater #LeakDetection #SmartWater #WaterUtilities #WaterTechnology #WaterLoss #DigitalWater #AcousticSensing #WaterManagement