Keeping both climate and AI development goals on track is possible, but no single CEO or policymaker can do it alone. Energy companies, as well as those at the forefront of AI development and deployment, and end user companies will need to work individually and in concert to develop near-term strategies and longer-term solutions that are both climate-friendly and maintain an AI advantage. Read how here: https://on.bcg.com/4fHbJ0B Thanks to our authors: Maurice Berns, Vivian Lee, Nicolas de Bellefonds & Hamid Maher
BCG on Energy’s Post
More Relevant Posts
-
Great to see Boston Consulting Group (BCG) highlighting the intersection of AI innovation and climate action. It’s a critical reminder that technology and sustainability must go hand in hand. Energy-intensive AI applications demand forward-thinking strategies to ensure a sustainable future.
Keeping both climate and AI development goals on track is possible, but no single CEO or policymaker can do it alone. Energy companies, as well as those at the forefront of AI development and deployment, and end user companies will need to work individually and in concert to develop near-term strategies and longer-term solutions that are both climate-friendly and maintain an AI advantage. Read how here: https://on.bcg.com/4fHbJ0B
To view or add a comment, sign in
-
Keeping both climate and AI development goals on track is possible, but no single CEO or policymaker can do it alone. Energy companies, as well as those at the forefront of AI development and deployment, and end user companies will need to work individually and in concert to develop near-term strategies and longer-term solutions that are both climate-friendly and maintain an AI advantage. Read how here: https://on.bcg.com/4fHbJ0B
To view or add a comment, sign in
-
Attention, tech-savvy professionals! Did you know that the UK has just signed the Council of Europe's landmark AI Convention, a historic move towards governing the responsible use of AI? This groundbreaking agreement signals a new era of AI regulation, shaping the future of how businesses and governments harness this transformative technology. As AI continues to redefine business practices, organizations are grappling with both the exciting possibilities and the ethical challenges. How can you ensure your company stays ahead of the curve while navigating the complexities of AI implementation? The key lies in staying informed, embracing agility, and prioritizing responsible automation. One surprising trend we're seeing is the rise of "green AI" - AI models designed to reduce energy consumption and carbon footprint. By optimizing algorithms and hardware, businesses can leverage AI to drive sustainable growth and environmental impact. But this shift also requires a new level of technical expertise and a commitment to ethical AI principles. To stay ahead of the curve, I recommend dedicating time to upskilling in the latest AI trends and tools. Leveraging platforms like UKode Labs and Docspark can help you streamline your workflow and boost productivity through intelligent automation. And don't forget to join the conversation - what are your thoughts on the future of AI governance and sustainable innovation? 💡 #AI #AITrends #Automation #ResponsibleAI #GreenAI #Productivity
To view or add a comment, sign in
-
🌿 Data ingestion has long been a pain point for organisations to measure and reduce emissions in a science-based method. At Generate Zero, we leverage generative AI in our decarbonisation platform for secure file data extraction, classification, and categorisation, massively improving accuracy, set-up time, and efficiency of data ingestion into the platform. This allows organisations to seamlessly automate monthly reporting of emissions, form a data-driven foundation to use our unique Reduction Module to create reduction targets, and accelerate initiatives of reduction plans within the Generate Zero platform. Contact us to find out how we can help you too to accelerate decarbonisation and deliver net zero. #ai #data #carbonemissions #sustainability #decarbonisation #generativeAI
To view or add a comment, sign in
-
Some #AI systems use 33 times more energy to complete a task than traditional software. ⚡ The World Economic Forum says that AI is adding pressure to the grid. On the other hand, AI also plays a role in integrating vast amounts of #RenewableEnergy into existing grids to help facilitate the #EnergyTransition. This means the AI era requires advanced #GridSoftware powered by ML/AI to analyze patterns, predict scenarios, and find efficiencies. Read here to learn more about AI’s role in the energy transition: https://vernova.is/3Z6ffN9. #TheAIRevolution #GridOrchestration #GridManagement
To view or add a comment, sign in
-
As business owners consider whether to use AI tools, they have to consider not only how the tools might help their productivity, but also the environmental impact of these tools. This article from MIT Technology Review gives a good rundown of the energy demands and other effects AI use has on the environment, as well as a nuanced take on how energy production could scale to meet rising demands: https://bit.ly/3zK2dKG #BusinessAI #ArtificialIntelligence #AIinBusiness #businesstechnology
To view or add a comment, sign in
-
Europe Must Rethink its Strategy for AI
To view or add a comment, sign in
-
Valuable framework to assess the benefit of specific AI use case to drive decarbonizarion:
Curious about how AI can drive industry decarbonization? Given the energy demands associated with the technology, it's a common query. My colleague Rémi Paccou 🌍 has written an insightful white paper that offers a clear framework to distinguish effective solutions from the rest. This science-based framework revolves around three key pillars: 1- Impact: Unveiling the real benefits of AI solutions versus their energy requirements. 2- Scalability: Assessing the technical and market readiness of these solutions. 3- Risk: Evaluating potential negative impacts. Check out the document for the complete framework in the comments! #NetZero #AIforDecarbonization #Sustainability
To view or add a comment, sign in
-
"I don’t think AI is like the weather. It’s not something we should just forecast, because it’s partly determined by our own choices—for example, whether business managers are going to excessively invest right away or take a more deliberative approach. It is determined by the choices of tech companies of what type of AI to develop, unions’ choices of how to work with the tech industry, and the government’s choices on regulation." Read more from Daron Acemoglu in this interview with Jacob Clemente for Charter: https://lnkd.in/e9TqGeSv
To view or add a comment, sign in
53,546 followers
More from this author
-
Navigating the transition to Low Carbon Solutions: Keys to Success
BCG on Energy 1mo -
O&G investment in low carbon solutions remains strong – but more attention is needed to follow through on commitments
BCG on Energy 2mo -
Electric utilities require a paradigm shift in their management of supply chains to build the electricity grids for the Energy Transition
BCG on Energy 3mo