Description
Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.
In this episode of the Trend Detection podcast, Niall Sullivan is joined once again by Dr. Peter Schopf, an AI and organizational development expert with a background spanning industry, leadership and information systems.
Drawing on his latest projects and research, Peter explores the shift from individual AI towards team-based AI, where shared knowledge, context and intelligent agents could help people collaborate, make decisions and solve problems more effectively.
In this episode, we discuss:
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The shift from individual AI to team AI and what it could mean for organizations
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AI agents on the factory floor, from shift handovers and troubleshooting to onboarding and knowledge sharing
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AI as a leadership assistant, including better meetings, decision-making and conflict resolution
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Why context matters, and how organizations can build and continuously improve shared AI knowledge
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The rapid evolution of AI engineering, from prompt and context engineering to skills, harnesses and multi-agent systems
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Keeping humans in the loop, particularly as AI becomes more proactive and autonomous
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Adoption, security and trust, and why understanding how people interact with AI will be critical to scaling it successfully
Peter also introduces his work on European Verified Agents, a proposed research initiative looking at how team-based AI could be adopted effectively in industrial and organizational environments.
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 (http://www.siemens.com/senseye-predictive-maintenance)
Connect with Peter on LinkedIn here. (https://www.linkedin.com/in/peter-schopf/)