Navigating the Industrial IoT Landscape: From a Developer’s Perspective – with Olivier Bloch [Video]

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 covers:

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Exploring Industrial IoT from a Developer’s Lens: Our guest, Olivier, shares his extensive background in IoT, discussing the role of developers in advancing Industrial IoT solutions.

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Doing IoT Right vs. Wrong: Olivier delves into common pitfalls in IoT projects, particularly the lack of focus on delivering clear business value, which often leads to stalled projects.

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Data Pipelines as the Core of IoT Success: Emphasizing data’s role, we examine how effective data management enables predictive maintenance, anomaly detection, and actionable insights, especially in industrial applications.

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The Power of Open Source in IoT Innovation: Olivier discusses the significance of open-source contributions in building standardized, robust IoT solutions that foster interoperability across devices and systems.

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Collaborative Approaches for Complex IoT Ecosystems: We explore how industry collaboration and standardization are crucial in creating cohesive, secure, and scalable IoT solutions for various industrial sectors.

Connect with Olivier Bloch here https://www.linkedin.com/in/olivierbloch

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)