The water industry is undergoing a digital transformation where intelligence is becoming as vital as the pumps themselves. We’ll start by discussing the strategic reasoning behind building an AI-led portfolio at Grundfos. We will explore how these technologies are moving from experimental features to essential tools that help our customers manage global water challenges more effectively.

We will move from strategic theory to a technical deep dive into our hybrid AI solution for wastewater pumping stations. This case study illustrates how we bridge the gap between cloud and hardware:

• The Hybrid Workflow: We leverage cloud-based IoT data for model training, then deploy those models to the edge for real-time inference.
• The Virtual Sensor: By performing flow estimation directly at the edge, we create a "virtual sensor" that integrates into any OT system as if it were a physical hardware component

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About the presenter

As a Senior Data Scientist at Grundfos, Ørjan has a strong background in Water and Environmental Engineering, bringing seven years of experience in the water industry. Ørjan would describe himself as a real water tech nerd.