Neudesic, an IBM Company’s Post

As #AI takes off, the #energy requirements to train and deploy this technology are also accelerating rapidly. So, is AI a friend or a foe in the energy equation 💡?   Today I had the opportunity to explore this with EDF's CEO Luc Rémont and Les Echos’ editor in chief David Barroux during #Vivatech's panel “AI and energy: the new power couple.” We talked about how AI can address some of the energy industry's major challenges –supporting the transition to renewables and the sustainability agenda at large, by:   ➡ Predicting and better matching energy demand and supply, considering weather, usage patterns and more ➡ Enabling de-centralized systems where consumers can also be producers of green energy ➡ And leveraging the synergy between AI and quantum for carbon capture and storage, finding new materials, and boosting computing efficiency   We are already seeing how concrete advancements reduce the amount of power needed for AI. For example, one of the most environmentally conscious decisions we can make today is choosing the right sized AI model… because bigger is not always better. Take IBM Granite models: trained on specific, relevant data, these AI models are more energy efficient and can achieve the same results or even better than models that are 3-5x larger. And they are now open source.   You can find out more here: https://lnkd.in/dZiu-PTc

“AI and energy: the new power couple.” Looking at how AI can address some of the energy industry's major challenges –supporting the transition to renewables and the sustainability agenda at large. #watsonx #quantum #sustainability

By 2027, more than 50% of the GenAI models that enterprises use will be specific to either an industry or business function — up from approximately 1% in 2023.💡 “GenAI is being embedded into a broad range of business applications and as the underlying models become multimodal, it can enable richer and more intelligent automation workflows. This will also allow GenAI models to become more autonomous and better reflect the environments they’re trained on.” From the desk of Arun Chandrasekaran, Gartner Distinguished VP Analyst #GartnerIT #GenAI #Technology #Data

As society and technology evolve, the energy grid must adapt to trends like increased nighttime EV demand and shifts in energy use due to remote work. In a recent webinar, experts from Databricks and Neudesic, an IBM Company, discussed how to stay ahead of evolving grid demands and prepare for the future with AI and analytics. Here's what you’ll learn: 🔋 How AI enables real-time decision-making to predict and manage energy consumption. 💡 The role of AMI in improving grid reliability and reducing energy losses. 🔍Insight into smarter energy forecasting and demand response. 🚀Case studies of utilities already leveraging these technologies to meet growing demand. 🔌Strategies for integrating AI and AMI to future-proof your energy infrastructure. Watch now: https://lnkd.in/gBWYkk_h --- #AI #AMI #PowerDemand #EnergyInnovation #GridManagement #Sustainability #Neudesic #Databricks #Utilities

“GenAI is being embedded into a broad range of business applications and as the underlying models become multimodal, it can enable richer and more intelligent automation workflows. This will also allow GenAI models to become more autonomous and better reflect the environments they’re trained on.” From the desk of Arun Chandrasekaran, Gartner Distinguished VP Analyst #GartnerIT #GenAI #Technology #Data

In a few years, we are going to be talking a lot about the "Energy Crisis / Shortage", in many ways similar to the housing crisis / shortage we have in the US already today. Industry experts have seen this coming, and sadly not enough is being done to get ahead of these challenges. AMI data and analytics can help stakeholders understand and quantify the real impact, and plan how to optimally navigate this crisis.

In an exclusive interview at ADIPEC Exhibition and Conference 2024, Rob McGreevy Chief Product Officer at AVEVA, discussed how AI is helping make energy operations more efficient and sustainable throughout the asset lifecycle. He explained that creating a digital backbone across the energy value chain, from design to construction, operations, and maintenance, is essential, with the AVEVA Connect platform bringing this concept to life. Watch the full interview to learn why the energy sector must prepare for open AI standards and systems: https://bit.ly/4g20XlZ #EnergyConnects #energynews #energyindustry #news #oott #AI

How to reduce energy consumption using AI? 🔋 🔍 1. Identify and eliminate hidden defects Understanding energy inefficiencies is the first step to better management. Outdated or poorly maintained equipment consumes excess energy. At DAITABLE, we use AI-powered data analysis to spot inefficiencies and detect anomalies across production lines. This enables early intervention and informed decisions on upgrades or process adjustments. ⚙️ 2. Optimize processes & reduce human error Manual energy tracking is prone to errors and delays. By switching to smart meters and automated data collection, businesses can gain real-time insights, quickly identify energy-intensive processes, and make necessary adjustments. ⚡️ 3. Avoid over-consumption penalties Exceeding contracted energy limits can result in costly fines. Predictive analytics help businesses anticipate and prevent overages by adjusting production schedules in real time, reducing penalties and optimizing costs. 🚀 Ready to optimize your energy use and cut costs? Connect with us to learn how Daitable’s #AI solutions can transform your energy management! 💡 #DAITABLE #Energy #SmartMetering

By 2027, more than 50% of the GenAI models that enterprises use will be specific to either an industry or business function — up from approximately 1% in 2023. Learn how to prepare now. #PublicSector

Discover bold predictions for the future of GenAI in this insightful article from Gartner. Get ready to explore actionable insights shaping the next frontier of technology. #GenAI #FuturePredictions #TechTrends