How AI Is Transforming Asset Management

In this episode, IBM’s Kal Gyimesi and Vishal Rane explore how AI is redefining efficiency in asset lifecycle management. They share why strong data governance is the foundation for successful AI adoption — noting that only 25% of AI projects meet ROI expectations due to disconnected systems. The conversation breaks down different types of AI, including generative AI, machine learning, chat assistance and intelligent agents, and how each drives smarter decision-making. They also emphasize the need for continuous testing, monitoring and responsible deployment to ensure reliability and long-term value across operations.