In this episode of the Techstrong AI video series, host Mike Vizard sits down with Heiko Claussen, CTO of AspenTech, to explore how AI can help optimize energy grids and industrial processes. While foundational AI models, such as large language models, are often criticized for their energy consumption, Claussen highlights how AI in industrial contexts serves a different role. By leveraging AI to optimize operations, reduce waste, and improve efficiencies, industries can achieve significant energy and emission reductions. Claussen explains that these AI models, tailored for specific applications, are far less resource-intensive to train and deploy compared to generalized models. Examples include the use of hybrid AI models that combine domain-specific physics with AI to improve the efficiency of massive industrial assets, delivering substantial gains with minimal energy usage.
Looking ahead, Claussen emphasizes the importance of collaboration between companies and leveraging domain expertise to make AI solutions robust, reliable, and safe for critical environments. He notes that while generative AI is revolutionizing fields like design and optimization, it’s not about replacing expertise but scaling and enhancing it to meet complex demands. Industries need to embrace automation to bridge skill gaps, drive efficiency, and meet sustainability goals. He encourages organizations to adopt proven AI technologies, enrich them with guardrails, and maintain operator control to ensure reliability. Claussen concludes that AI’s true value lies in its ability to scale solutions effectively, paving the way for a sustainable and efficient future.
