Navigating the Industrial IoT Landscape: From a Developer’s Perspective - with Olivier Bloch

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