💡 Climate innovation is more than just #climatetech. As Europe’s carbon and energy sector attracts more tech investment than ever, explore more here: https://ow.ly/3gGa50SzxWo 📊 Climate X offers global climate risk data analytics. 🔌 measurable.energy uses machine learning to eliminate waste energy in buildings. 🧱 Circulor utilises DLT to monitor and track the origin of raw materials and CO2 emissions in #supplychains. 🔊 EMSOL identifies root causes of urban air and noise pollution with real-time data analytics. 🫧 Digital Catapult supports innovative companies to accelerate the development of sensor products and benefit the #hydrogen industry as part of the Hydrogen Innovation Initiative.
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Great to take part at the launch event of neXus network. Main topic was the bridge between sustainability and AI/data. Big thanks to Pascal Koot and Guido Perotti for the organization and getting together such a diverse group of stakeholders. We need more events like this! My favorite presentation was Suncom Energy way of looking at decarbonising the build environment and heavy industry which both are so dependent on heat. As Wout Gubbels explained the concept of the company is to use concentrated solar power to generate heat by using mirrors and lenses. And yes of course I asked a bunch of questions…:) Looking forward to the next one! #climatechange #action #data #ai #stakeholder #connect
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Electrical Engineer | Data Scientist | Graduate Student at Carnegie Mellon University in Masters of Science in Electrical and Computer Engineering
🌍 Data Science in the Energy Sector: A Game-Changer in the Fight Against Climate Change 📊 In today's fast-paced world, leveraging data science in the energy sector isn't just a trend—it's a necessity. By harnessing the power of data analytics, machine learning, and AI, we can revolutionize how we produce, distribute, and consume energy, ultimately paving the way for a more sustainable future. The benefits are immense from optimizing renewable energy sources to predicting demand patterns and enhancing energy efficiency. Data-driven insights enable us to make smarter decisions, reduce carbon emissions, and mitigate the impacts of climate change. Let's seize the opportunity to innovate and collaborate, using data science as our tool to build a cleaner, greener world for generations to come. #DataScience #EnergySector #ClimateAction 🌿💡
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The race for decarbonization hikes electricity demand and complexity. Cities are harnessing AI and digital tools to optimize energy and integrate renewables, but with rising environmental costs. Join us to explore sustainable solutions! ♻️🔋 https://lnkd.in/eY_2DgXG #EnergyEfficiency #SmartCities #AI
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Artificial Intelligence is emerging as a crucial ally in the fight against climate change, offering innovative solutions to monitor, model, and mitigate its impacts. By analyzing vast amounts of environmental data, AI systems can accurately predict weather patterns, track deforestation, and monitor carbon emissions. These insights enable more effective policy-making and resource management. AI is also optimizing energy usage by improving the efficiency of renewable energy sources like solar and wind power, and developing smart grids that balance supply and demand in real-time. Additionally, AI-driven climate models are enhancing our understanding of climate dynamics, allowing scientists to forecast future scenarios and develop strategies to reduce greenhouse gas emissions. With AI's powerful capabilities, we are better equipped to address the urgent challenges of climate change and work towards a sustainable future. #AI #ClimateChange #Sustainability #GreenTech #AIForGood #RenewableEnergy #SmartGrids #EnvironmentalProtection #ClimateAction #FutureTech
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AI can play a crucial role in helping achieve net zero emissions by enhancing energy efficiency, optimizing resource utilization, and accelerating progress towards sustainability goals. By leveraging AI, industries can reduce carbon emissions, expedite the integration of renewables onto electric grids, develop energy storage solutions, and foster accurate climate modeling and predictive analytics.
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By 2030, the energy sector is poised for transformation with the advent of new AI applications. There will be a projected reduction in emissions ranging from 1.6% to 2.2%, driven by the innovative potential of AI across the industry. This underscores the pivotal role of technology in reshaping the energy landscape. With AI at the helm, we're unlocking efficiencies and driving sustainability in energy production and consumption. Let's embrace these advancements to accelerate our journey towards a cleaner, greener future. #AIinEnergy #Sustainability #CleanEnergy https://zurl.co/YRGD
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Delivery Excellence Lead, Activera Consulting | PMP, PSM, SPC | Using Data, Analytics, & Agility to Accelerate Business Outcomes & Growth
Valuable viewpoint on AI’s power consumption from MIT Technology Review. We have to remember that AI is simply a component of demand. It’s how we supply it that determines its impact on the environment. As we lean on renewables during the #EnergyTransition, improve AI model efficiency, and leverage the power of AI to optimize operations of power plants and grids, and predict usage, we’ll be able to make progress towards a cleaner future while still reaping the benefits that AI can offer. #Sustainability #ArtificialIntelligence
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At Neara, we're confident that 2024 is the year AI will accelerate climate action. For our new followers, here's how we use AI at Neara to create a safer, more affordable clean energy future. - We use AI to build a digital model of entire utility networks that behave just like real-world poles and wires. This allows utilities to bring to life every kind of dangerous situation by simulating hundreds of variables – instead of in the real world – and make better, faster decisions in preparation. - Our machine learning technology provides the visibility needed to stress-test grid health, so utilities can keep the power on and speed up the energy transition. - Our technology makes it possible for utilities across the globe, from Essential Energy in Australia to Southern California Edison (SCE), to harness the grid’s full potential, fast-track the onboarding of renewable energy, and keep communities safe and powered up. Recent studies by Boston Consulting Group (BCG) and Google suggest that AI could reduce global greenhouse gas emissions by 5-10% by 2030. We're committed to contributing to this goal.
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Private Cloud CTO at Rackspace Technology | Helping Organisations Transform And Embrace Sustainable Operations with Cloud Technology | Green Energy Transition | Digital Transformation
Digital twins are transforming sustainability efforts. What better way to test if something is going to work than by running an advanced simulation? Backed by machine learning algorithms, digital twins have the potential to improve existing systems and processes. If you don’t know what digital twins are - They’re virtual models that reflect physical objects. This could range from a single piece of equipment to a factory. In some cases, digital twins have been created of entire cities. What do you think of digital twins being used to advance sustainability efforts? https://lnkd.in/eBnZf7w3 #Energy #Technology #DigitalTransformation
Council Post: Decarbonization In The Industrial Sector: How Digital Twins Can Support Sustainability Efforts
forbes.com
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Partner @ KPMG India | Digital Transformation | People & Technology Leader | Sustainability Tech Expert | Views are personal | love travel and a good book
Climate change is the defining issue of our time, and the tech industry has a powerful role to play in addressing it. Here's how technology is helping us combat climate change: 1.Mitigation: * Renewable energy sources like solar, wind, and geothermal are being increasingly harnessed through technological advancements, reducing reliance on fossil fuels. 2. Adaptation: * AI and satellite technology are crucial for monitoring weather patterns, predicting extreme events, and developing early warning systems. 3. Efficiency: * Smart grids and energy-efficient appliances can significantly reduce energy consumption in buildings and industries. 4. Data collection and analysis: Sensors and data analytics provide valuable insights into climate patterns and emission sources, enabling informed decision-making. Technology is not a silver bullet, but it's a powerful tool in our fight against climate change. By harnessing innovation, we can build a more sustainable future. #climatechange #sustainability #technology #innovation
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Thanks for EMSOL name check on Climate innovation 👍