AI-powered predictive analytics is revolutionizing maintenance and enterprise asset management. Discover how to shift from reactive to predictive strategies, tackle integration challenges, and harness AI tools to minimize downtime, optimize resources, and drive efficiency.
February 18, 2025
11:00 AM ET / 10:00 AM CT / 8:00 AM PT / 4:00 PM GMT
Artificial intelligence (AI)-powered predictive analytics is shaping the future of maintenance, operations, and enterprise asset management. By leveraging vast amounts of data and advanced algorithms, AI can anticipate equipment failures, optimize resource allocation, and significantly reduce downtime, ultimately improving efficiency and lowering operational costs.
In this session, we'll discuss:
How to transition from reactive to predictive maintenance strategies for asset-intensive organizations
Tapping into the power of AI-driven tools to convert complex sensor data into actionable insights, streamlining operations and improving integration
How to address industry analytics and predictive maintenance challenges, such as integration of data, connecting analytics to action, and the long length of time to deploy a machine learning model into production
Speaker
Matt Kirchner | Chief Product Officer - APM | Prometheus Group
Matt Kirchner is the Chief Product Officer for asset performance management (APM) at Prometheus Group, a global enterprise asset management (EAM) software provider. He has over 20 years of software, engineering, and consulting experience in the utility, industrial, and manufacturing industries.
Matt began his career in operational intelligence and engineering at Black and Veatch and was the Co-Owner and Chief Product Officer of Atonix Digital before joining Prometheus Group.
Sponsored by:
Voice your opinion!
To join the conversation, and become an exclusive member of IndustryWeek, create an account today!
