As organizations navigate the energy transition, circularity, and growing complexity, Industrial AI is becoming a key driver of sustainable transformation. Discover how AI helps improve energy and resource efficiency, reduce emissions, and deliver measurable business outcomes.
AI accelerates the sustainability transformation
Discover how AI and digital twin technology drive sustainable industry, optimize energy grids, and enable innovative product design. Learn about real-world impacts and the importance of collaboration for a greener, more inclusive future.
Artificial Intelligence (AI) is becoming a key driver of industrial innovation and sustainability. In this interview, Dr. Eva Riesenhuber, Head of Sustainability at Siemens, explains how AI copilots, generative AI, and digital twin technology help organizations improve efficiency, reduce energy consumption, and accelerate innovation. Through real-world examples, the discussion highlights how AI can optimize power grids, revolutionize product design, and unlock new opportunities for productivity and resource efficiency. Digital twins play a crucial role by connecting the physical and digital worlds, enabling data-driven decisions and continuous optimization across products, factories, buildings, and infrastructure. The interview also explores how technology, knowledge sharing, and collaboration between businesses, governments, and society can help advance the energy transition and the shift toward a circular economy in an inclusive and sustainable way.
