AI Brief’s Post

Energy and utility companies are staying ahead of the operational curve by anticipating maintenance needs before issues arise. Predictive maintenance is pivotal in minimizing downtime, ensuring regulatory compliance, and protecting both reputation and the environment. At Zemoso, we've delved into LSTM, GAN, TimeGPT, and vector databases to accelerate AI adoption and enable companies with accurate and proactive maintenance strategies. These technologies harness advanced models to analyze vast amounts of time-series data, uncover complex patterns, and forecast potential faults with remarkable precision. By integrating these architectural approaches, energy and utility companies are transitioning from reactive to proactive maintenance, enhancing operational efficiency and sustainability. In the article link dropped as the first comment, you can learn more about our findings as we ran POCs to evaluate and compare each of these models. If you have worked with any of these models, we look forward to your insights as well. #PredictiveMaintenance #energyindustry #MachineLearning #GenerativeAI #GenAI #LLMs #VectorDatabase #utilitycompanies #oilandgas

Our latest Data centre cost index revealed that AI is increasingly adding to data centre delivery pressures, power supply constraints and skills shortages. Read now: https://bit.ly/3KGESM7 In this article, our Director and Data Centre Lead for Australia and New Zealand Simon Kearney and our Director and Data Centre Lead for Asia Ben McGeachie share the four ways the data centre industry can enhance commitment to a greener future, securing energy costs and deliver projects cost-effectively and efficiently, while addressing its challenges and limitations. These methods include: 🍃 Opting for renewable energy 🍃 Tapping into green finance 🍃 Targeting embodied carbon 🍃 Adopting AI #DataCentres #sustainability #AI

The rising electricity demand from data centers powering AI programs carries unique requirements, with reliability being paramount. In our view, this electricity demand may bring new investment opportunities for long-term investors. Read our latest Alger On the Money article: https://lnkd.in/eShWHgRj #Energy #AI #Investors #AlgerInvest

With the increasing utilization of AI solutions, significant efficiencies are emerging, particularly in Utility Call Centers where average handle time and first-time call resolution are experiencing notable enhancements. This advancement comes amidst a rising demand for electricity, which is expected to strain grids in the near future. Utility companies embracing AI technologies early on are witnessing immediate benefits. Moreover, those integrating dynamic outbound customer communications solutions are positioning themselves best to handle unforeseen outages effectively.

#AixAi | At Ardian’s Ai x Ai conference, Dominic Ward, CEO of Verne, a leading data center platform diversified across the UK and Nordics, addressed a crucial aspect of the AI revolution: the energy demand of data centers. “In 2022, the International Energy Authority reported that data centers worldwide consumed 457 terawatt hours of electricity. They expect this to double in the next few years. This is why billions of dollars are being invested in data centers.” As AI adoption accelerates, Ardian is proud to partner with Verne to advance sustainable digital infrastructure, essential to meeting these rising demands while supporting AI innovation. 📽️ Watch the full replay to learn more about these crucial developments → https://bit.ly/3NBETCA #ArtificialIntelligence #AlternativeInvestment #DigitalInfrastructure #Sustainability #EnergyEfficiency

How can sustainable AI transform the future of data centres? Former bp CEO Bernard Looney joins Prometheus Hyperscale as Chair, teaming up with visionary founder Trenton Thornock to build a US$10bn sustainable 1GW data centre in Wyoming. Their mission? Revolutionise data centre efficiency while tackling AI’s growing energy demands. #ArtificialIntelligence #DataCenters #CleanEnergy

"A once in a generation opportunity." This short, must watch, video explains exactly why BlockQuarry (BLQC) has shifted its focus to Ai Data Centers. https://shorturl.at/1c903 #hpc #ai #datacenters #aicagr #greenenergy #greentech #artificialintelligence #energy #blqc #construction #datacentres $blqc #finance #healthcare #AIpowerconsumption #datacenterdemand

It sees non-AI data center energy use rising from 142 terawatt hours in 2023 to 304 in 2030. AI-related uses soar from 4 TWh last year to 93 TWh in 2030. https://lnkd.in/gBYqwdiu

How is the massive build-out of AI infrastructure and its associated power demand impacting prospects for future data center investment and planning? The DCF Executive Roundtable gets expert takes from CoolIT Systems, EdgeConneX, Schneider Electric, Trane and Discovery Energy. #datacenter #ai https://lnkd.in/e7xYpM38