This case study examines the practical challenges and outcomes encountered during the deployment of smart sensor networks and cloud-based analytics within process industry environments. While digital service transformation promises enhanced asset availability, improved energy efficiency, and increased operational safety, the realization of scalable, measurable benefits requires careful attention to technical architecture, integration with legacy systems, and end-user engagement with diagnostic tools. Through multiple project implementations, this session evaluates how sensor data pipelines and real-time condition monitoring can be structured for reliability, and how analytic insights support proactive maintenance decision-making and operational performance optimization. In this session, you will learn how to:

• Design and implement a scalable sensor and data infrastructure to enable continuous, real-time asset condition monitoring.
• Integrate diagnostic applications seamlessly into existing operational workflows to support proactive maintenance strategies.
• Analyze energy consumption and equipment performance data to quantify improvements and guide ongoing process optimization.