IoT Time - with Peter Schopf

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