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/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)