Knud Lasse Lueth

10 years of IoT trends: What has really changed?

A central topic is IT-OT convergence, which presents significant challenges for companies: How can IT and OT worlds be successfully connected? The discussion explores approaches such as specialized teams or interdisciplinary collaboration to build bridges between these two domains. Other key topics in this episode include: The role of AI in IoT: AI has evolved from a fringe technology to a key factor, especially in areas like predictive maintenance, quality monitoring, and industrial co-pilots. Edge computing: Shifting computing power closer to the data source reduces latency and enables real-time analysis—a crucial step for many industrial applications. Industrial Data Ops: Modern IoT platforms are evolving by not only collecting data but also seamlessly contextualizing and analyzing it. Change management challenges: Many companies struggle to scale IoT use cases across locations due to isolated knowledge silos. Prioritizing use cases: How can companies set the right focus? What role do managed services play in facilitating entry and scaling? A look into the future: Generative AI and more user-friendly interfaces are expected to fundamentally change how we interact with IoT data. At the same time, the standardization of hardware remains a key driver for the market’s continued development.