Scott MacKenzie hosts a podcast celebrating industry professionals and their innovations. In this episode, he discusses the application of digital twins to steam networks with Tania Schulze from Gradyent.ai. Tania explains that digital twins are digital representations of physical assets, enabling real-time monitoring, optimization, and predictive maintenance. She highlights the benefits of using physics-based models combined with machine learning to create accurate digital twins for steam networks. Tania emphasizes the importance of data quality and the challenges of implementing digital twins in existing plants. She also discusses the potential for significant energy savings and improved safety through digital twin technology.