Industrial companies today sit on vast amounts of data—images, video, sensor streams, and operational information—but much of it remains underutilised. This session explores how multimodal AI is changing that reality, enabling companies to combine and understand multiple data sources as one coherent intelligence layer.

We are entering a new era where AI no longer just analyses data in isolation, but sees, understands, and connects across domains—from visual inspection and quality control to predictive insights and decision support.

The session offers a forward-looking perspective on how advances in multimodal models, visual computing, and sensor integration are rapidly becoming core building blocks for industrial innovation.

Key takeaway: Multimodal AI is not just a technology upgrade—it is a strategic opportunity to move from fragmented data to smarter, faster, and more holistic decision-making across the organisation.

This session is part of DTU's Industrial AI Program: From Artificial Intelligence to Industrial Intelligence at Digital Tech Summit 2026. Through a series of connected sessions, DTU brings together leading research and industry perspectives to explore how AI is reshaping products, processes, and operations across the industrial landscape.

Partners: AI Denmark and AI Boost