Turner & Townsend’s Post

🤖 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀 𝗶𝗻 𝗔𝗜 𝗣𝗼𝘀𝗲 𝗘𝗻𝗲𝗿𝗴𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀, 𝗯𝘂𝘁 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗪𝗶𝘁𝗵𝗶𝗻 𝗥𝗲𝗮𝗰𝗵: As technology enthusiasts, we're all eagerly anticipating the advancements in artificial intelligence (AI). These innovations hold the potential to revolutionise industries, solve complex problems, and enhance our lives in ways we've never imagined. However, amidst this excitement, it's crucial to address the challenges that come hand in hand with such progress. Recent warnings from the CEO of National Grid highlight a pressing concern: the exponential surge in data centre power usage over the next decade. As AI continues to evolve and permeate various sectors, the demand for computational power will skyrocket. The question arises: How do we tackle this energy crisis effectively while embracing the remarkable opportunities presented by AI? Here are 3 ways: 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻: Researchers and engineers are constantly striving to enhance the efficiency of data centres and computing systems. From hardware innovations to advanced cooling techniques, optimising energy usage without compromising performance is a top priority. 𝗥𝗲𝗻𝗲𝘄𝗮𝗯𝗹𝗲 𝗘𝗻𝗲𝗿𝗴𝘆 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Transitioning to renewable energy sources such as solar and wind power can significantly reduce the carbon footprint associated with powering data centres. By leveraging clean energy solutions, we can mitigate the environmental impact of increased energy consumption. 𝗦𝗺𝗮𝗿𝘁 𝗚𝗿𝗶𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Implementing smart grid technologies enables more efficient energy distribution and management. By leveraging real-time data and predictive analytics, we can dynamically allocate resources where they're most needed, minimising waste and maximising utilisation. As we embark on this journey towards a future powered by AI, it's imperative to prioritise sustainability and responsible resource management. By harnessing the power of innovation and collective action, we can overcome the energy challenges ahead while unlocking the full potential of these transformative technologies. Fox News TV #AI #Sustainability #EnergyEfficiency 🌱💻🌍

The energy consumption for just AI is approximately 85-134 terrawatt-hours (TWh) of electricity each year....it's not a small amount! "The artificial intelligence (AI) industry could consume as much energy as a country the size of the Netherlands by 2027, a new study warns. Big tech firms have scrambled to add AI-powered services since ChatGPT burst onto the scene last year." #energy #electricity #energytransition #energypolicy #infrastructure #transmission #distribution #resiliency #energysecurity #energycrisis #datacenters #artificialintelligence

How Data Centres are Laying a Pathway to Greener AI Summary: The growth of artificial intelligence (AI) and its significant energy consumption are pushing businesses to rethink their data centre strategies around green energy and more sustainable locations. With AI’s increasing influence across various sectors, data centres are adapting by integrating renewable energy sources such as solar, wind, and hydroelectric power. These centers are enhancing energy efficiency and operational effectiveness through innovative AI algorithms. Additionally, by relocating away from urban centers to utilize renewable resources better and reduce environmental footprints, data centres are marking a significant shift towards sustainable AI deployment. This transformation in data centre operations highlights a critical shift towards environmental stewardship in the technology industry. The proactive use of AI in managing and strategizing energy use showcases a combined approach to tackle digitalization's sustainability challenges. As data centres evolve to lessen their reliance on traditional power sources and locations, they set an example for other sectors, potentially leading to broader societal benefits such as reduced carbon footprints and economic growth in less developed areas. #AI #Sustainability #GreenTech #DataCentres #RenewableEnergy #Technology #EnvironmentalStewardship #Innovation #CloudComputing #EcoFriendly

Data centers are rapidly outgrowing the electric grid. Tech companies have a long track record of arranging for special, discounted rates for their massive power consumption — which means in many cases, ratepayers, individual consumers, are subsidizing data centers’ undisclosed energy use. Generative AI and data centers’ insatiable hunger for power is slowing the transition to green energy https://lnkd.in/d-Bb7j_i

🎥 How is AI transforming the energy sector? In an exclusive interview at #EUSEW2024 Areti Ntaradimou spoke with Ray Pinto, Senior Director of Digital Transformation Policy at DIGITALEUROPE  about the clear potential of AI—from flexible grids preventing blackouts to a 50% improvement in energy efficiency. Pinto identifies data as the ‘elephant in the room’ for AI in energy. The key challenges? The carbon footprint and safety issues of AI’s data consumption, particularly within data centres. 🔗 Watch the full interview https://lnkd.in/dcWWtpjv #AI #EnergySector #Sustainability #DigitalTransformation #DataChallenges #EuropeanSustainableEnergyWeek

🌍 As Artificial Intelligence (AI) continues to redefine industries, it's also set to significantly boost global power demand by 2030. A recent report from Goldman Sachs Research suggests an increase of around 160 terawatt-hours per year, equating to nearly 2% of today’s global power consumption! 🔋 The surge is mainly due to the energy needed for data centers and edge computing vital for AI operations. Notably, regions like North America and Europe could see the highest spikes given their robust IT infrastructure and tech presence. But here’s the clincher: how we meet this demand could shape our environmental footprint. 🌱 The pivot towards renewable energy sources could be our best shot at supporting this AI-driven power need sustainably. 🤔 Imagine the possibilities if we approach this right—a boost in power infrastructure investment and a leap towards minimizing carbon emissions! ✔️ Have you considered how the rise of AI could impact your industry’s power consumption? ✔️ Are we ready to meet these demands with greener solutions? Let's discuss how we can embrace AI innovations responsibly and sustainably! 🚀 #ArtificialIntelligence #Sustainability #RenewableEnergy #DataCenters #GlobalPower #AIimpact #TechTrends #Innovation https://lnkd.in/ggSNVgWc

As AI technologies become increasingly integrated into various industries, the demand for computational resources has surged, leading to a substantial uptick in power usage by data centers worldwide. This article https://lnkd.in/gu2M3sak discusses how governments around the world are taking proactive measures to address this issue. This presents organizations with a strategic opportunity to focus on sustainability and efficiency efforts. Through expert guidance, organizations can strategically align their AI infrastructure with sustainability objectives. This alignment not only facilitates significant cost savings but also enhances competitiveness within the market. Moreover, it elevates their standing as industry leaders in the adoption of sustainable technology, reinforcing their commitment to environmental responsibility and innovation.

While AI technologies improve our lives, it also place a strain on our planet's delicate resources. Resources are limited and this is especially true in Singapore. Let's do our part for our Mother Earth. Let us help you to design and deploy a more efficient and resilient data architecture. #AI #greendatacenters #dataarchitecture #purestorage

I am glad to have contributed to the latest edition of Plugged In magazine. Read more about the role that Smart Grids will play in the energy transition and how Artificial Intelligence (AI) technologies are transforming power and utility organisations. Also some great insights from National Grid UK on the need for accelerated delivery of grid infrastructure. #SustainableInfrastructure #Energy #Utilities #AI #SmartGrids #LowCarbon #KPMG

Great discussion on making generative AI greener with Rosalind Stefanac for the Financial Post. At Accenture, we prioritize environmental sustainability in AI development, recognizing the importance of responsible and sustainable AI. By strategically choosing problems to solve with AI, we optimize energy use and reduce unnecessary consumption. Looking forward, AI will help identify effective energy sources by minimizing computational costs and optimizing renewable energy solutions. Let's enhance energy efficiency and reduce carbon emissions with sustainable AI solutions. #AI #Sustainability #Innovation Read more: https://lnkd.in/gBkHGyjt