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SYSTEM: OPERATIONALOT/IT CONNECTORS: 150+AUTONOMOUS OPERATION: 15+ DAYSGOVERNED AUTONOMY: ENFORCEDAUDIT TRAIL: IMMUTABLEINDUSTRIES: MINING · OIL & GAS · ENERGYDEPLOYMENT: 3-6 MONTHS VIA APEXCONTROL LOOPS: 3,400+ SYSTEM: OPERATIONALOT/IT CONNECTORS: 150+AUTONOMOUS OPERATION: 15+ DAYSGOVERNED AUTONOMY: ENFORCEDAUDIT TRAIL: IMMUTABLEINDUSTRIES: MINING · OIL & GAS · ENERGYDEPLOYMENT: 3-6 MONTHS VIA APEXCONTROL LOOPS: 3,400+

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XMPro CEO Discusses Multi-Agent Generative Systems in the Latest Industrial AI Podcast

We’re pleased to share a new episode of The Industrial AI Podcast, which features a thoughtful conversation between host Peter Seeberg and Pieter van Schalkwyk, CEO at XMPro.

In this episode, Pieter van Schalkwyk provides a detailed perspective on Multi-Agent Generative Systems "MAGS" and their capacity to transform industrial operations. He outlines how MAGS facilitate the development of intelligent agents that collaborate, plan, and act across complex environments to drive real-time optimization and scalable automation.

Key topics discussed include -

  • Core principles of Multi-Agent Generative Systems and their industrial relevance

  • The impact of MAGS on decision-making and operational performance

  • Examples from XMPro deployments that demonstrate quantifiable business value

About The Industrial AI Podcast

The Industrial AI Podcast offers weekly insights into the application of AI and machine learning across engineering, robotics, automotive, process, and automation sectors. Hosted by Peter Seeberg and Robert Weber, the series features perspectives from industry leaders, researchers, and innovators working at the forefront of Industrial AI.

We encourage you to listen to this episode for practical insights into next-generation industrial automation and AI system design.

🎧 Listen now: Available on Apple Podcasts, Spotify, and other major platforms.

We welcome your feedback and topic suggestions. If you find the episode valuable, please consider leaving a review.