This session will provide key examples for what type of IoT sensors can be used, what data is collected, how those sensors are connected to platforms and systems, and how AI is used to analyze large data sets in order to optimize and automate a predictive maintenance solution.  Sensor data plays a pivotal role in asset management by enabling predictive maintenance modelling, especially when harnessed through the power of the Internet of Things (IoT) and the data that is collected. Data and AI are reshaping industries and driving innovation. Big data provides a wealth of information, while artificial intelligence (AI) processes and extracts insights from this data. The marriage of big data with the capacity of AI learning from massive datasets is leading to rapid evolution in applications.