Finario’s Post

The EU Commission is preparing technical specifications for a study to develop a measurement framework for the energy efficiency of general-purpose AI models. Data centres’ share of global energy consumption is expected to grow to 7% by 2030. 👉 Learn more in this article, as part of #EnefirstPlus Special Report: eurac.tv/9Xx4 [Public Projects Content]

ESG concerns are global concerns, and technology needs to be part of the answer. Tap into the power of data-driven energy management for manufacturing. By using real-time monitoring, AI enhancements, and automated tweaks, you can save money and boost efficiency while hitting your ESG targets. Find out more: Find out more: LINK https://sftsrv.com/dU1B58

The U.S. has reached an inflection point with increasing power demand caused by booming AI, growth in electrification and the reshoring of manufacturing. How can infrastructure investors help meet this increased energy demand and reduce carbon emissions from existing assets? Emmanuel Lagarrigue and Waldemar Szlezak discuss areas of opportunity in a new piece they authored from New Private Markets: https://go.kkr.com/3XEOePO

The demand on the power grid continues to grow with the rise of artificial intelligence. Data-center and power-generation projects are becoming front-runners in receiving funding to support future endeavors and compensate for added strain to the power grid. https://lnkd.in/gWbhvxBe

⚡ 𝐀𝐈 & 𝐄𝐧𝐞𝐫𝐠𝐲: 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐓𝐫𝐚𝐧𝐬𝐦𝐢𝐬𝐬𝐢𝐨𝐧 As AI dives into the heart of energy grids, it doesn’t just crunch data—it deciphers it, predicting energy demand like a weather forecaster on steroids. From fine-tuning wind turbines to spotting inefficiencies in solar panels, AI empowers a greener tomorrow by making every watt count. It’s not just smart—it’s sustainable genius at work. However, with smarter grids and predictive algorithms, AI is sparking innovation and debates over the boundaries of creativity and control. Who truly owns the IP: the coder, the company, or the collective data? Here's an insightful report by Marks & Clerk. What do you think about this? Let me know in the comments. Authors & Contributors: Michael Williams, Matt Jefferies, Lara Sibley, Martin Bell, Jeremy Russ, Tomas Karger, Mairi Rudkin, Michael Shaw, Greg Carty-Hornsby, Giles Pinnington, Simon Portman, and Louise Mansion 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐌𝐲 𝐖𝐞𝐞𝐤𝐥𝐲 𝐍𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫: Join 20000+ global readers to stay updated with the latest trends, explore new possibilities, and discover what’s coming next (link below).

ICF recently brought together leaders from federal, state, and local governments, utilities, and the private sector for a roundtable discussion in Washington, D.C., focused on the role of AI in creating a cleaner, more reliable, and resilient electric grid. Here are some key takeaways from the discussion. https://bit.ly/49C1skK

As the world grapples with huge challenges posed by climate change, the pressure on the oil and gas sector to reduce its reliance on fossil fuels is greater than ever. We recognize that an intuitive communications infrastructure capable of perceiving, reasoning, and acting will be crucial. By leveraging Industry 4.0 technologies alongside AI, AR, and big data, we will help bring this to life. Learn more about how we’re enhancing productivity and sustainability through digitalization in our latest article, here: https://nokia.ly/3w0SEWc

Achieving the goal of zero net carbon emissions by 2050 will require an unprecedented deployment of clean energy technologies and a significant transformation of the nation’s energy infrastructure. It won’t be easy, but a new report titled AI for Energy shows how it can be done – by harnessing the power of capabilities of artificial intelligence (AI) to decarbonize the U.S. economy.

With the proliferation of AI data centers and increasing energy demand across the U.S., #natgas is a reliable fuel to meet this need, especially as we work to reduce emissions across the value chain. In a recent Fast Company episode, ONE Future member Williams discusses the role of natural gas in meeting the AI energy challenge. Listen below. ⬇️

Meeting global data center demand could require more than $2 trillion in new energy generation resources. The late 2022 breakthrough in generative AI, along with the resulting data center boom, caught utilities off guard—just as demand was increasing due to repatriated manufacturing, industrial policy, and vehicle electrification. Leading utilities are now developing resource plans that balance serving current customers while becoming more agile and collaborative. Discover five key steps to manage this surge in demand. https://atbain.co/3O0Krqt