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In Episode 168 of the IoT Use Case Podcast, host Ing. Madeleine Mickeleit speaks with Ben Gamble, Product Manager at Ververica, and Stephan Schiffner, Head of Data + AI at Steadforce, about real-time data processing with Apache Flink. Ververica, co-creator of Flink, provides a production-ready platform for stream processing. Steadforce brings years of project experience from industrial environments. Together, they share insights into real-world IIoT projects and explain how production processes, anomaly detection, and supply chains can be optimized through streaming technologies—and why “evolution over revolution” is key to success.

Podcast episode summary

Real-Time over Downtime – Why Apache Flink Is Becoming a Key Technology for Industrial Data Projects

Whether it’s predictive maintenance, anomaly detection, or adaptive production control – modern industrial companies face the challenge of not just collecting data, but acting on it in real time. Apache Flink has emerged as the leading tool for stream processing.

This episode dives into real-world applications in manufacturing, logistics, and infrastructure – from reducing work-in-progress and monitoring temperature trends to optimizing complex supply chains. You’ll learn how companies gradually extend their existing IT/OT architectures with Flink, what common mistakes to avoid, and why “evolution over revolution” is often the smarter strategy.

Also in focus: Why investments in streaming technologies often pay off before the ROI becomes measurable in monetary terms – and how projects can get started efficiently using starter kits, Flink SQL, and the Ververica Cloud.

For OT/IT leaders, data architects, and decision-makers in Industrial IoT who want to build scalable, secure, and maintainable streaming use cases.

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Relevant links from this episode:

Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)
Stephan (https://www.linkedin.com/in/stephan-schiffner/)
Ben (https://www.linkedin.com/in/bengamble7/)
Ververica Cloud (https://www.ververica.com/deployment/managed-service)

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