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: 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.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.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.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.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/olivierblochYou 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
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