Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode discusses:

🎙️ Understanding AI Agents vs Assistants: Peter and Niall break down the often-confused terminology around AI – from assistants and copilots to true agents – using a four-quadrant model based on automation and system integration.

🧠 AI Intelligence & Modularity: The episode explores the concept of intelligence in AI, comparing large language models to parts of the human brain, and discussing the future of AI as modular, with specialized models for reasoning, simulation, and memory.

🔄 Strategic vs Operational AI Use: Peter highlights the untapped potential of using AI for strategic applications like organizational planning and cultural transformation, in contrast to the more common operational use cases like summarizing emails or generating reports.

📈 Driving Adoption Through Assistants: Practical advice is given on starting with AI assistants before jumping to complex agents. Peter shares a successful use case at E.ON where prompt-based assistants significantly improved employee engagement and productivity.

👥 Training & Culture Are Key: Emphasis is placed on meaningful AI training (especially for managers), fostering a feedback culture, and viewing AI more like a working student than a calculator – adaptable, contextual, and collaborative.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance