AI's Predictive Maintenance: A Strategic Advantage
About:
In today’s competitive landscape, staying ahead requires more than just reactive maintenance. In the age of artificial intelligence (AI), predictive maintenance can give you and your company an edge.
Now is an excellent time to break outdated systems and processes, remove the need for paper and spreadsheets, and streamline your maintenance and operations with data-driven decision making that will improve your bottom-line.
Join Matt Kirchner, Chief Product Officer of Asset Performance Management at Prometheus Group, in this exclusive webinar as shows you predictive maintenance in action and how to achieve a higher return on investment (ROI).
In this webinar, you will learn:
• Key challenges facing manufacturing and enterprise asset management.
• Best practices for predictive maintenance.
• How to detect and prevent maintenance issues using your historian's sensor data.
When:
Tuesday, September 24, 2024 · 3:00 p.m. London (GMT +1:00)
Presenters:
• Matt Kirchner, Chief Product Officer - APM at 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. He 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.
• Neil Perry, Moderator - Group Content Director at BizClik
Neil Perry is the Group Content Director at BizClik and has two decades of multimedia experience. He has worked across regional and national brands for Global Radio, as a bulletin presenter, broadcast voice coach, mentor and news editor. Neil moved into visual broadcasting in 2014 helping to establish one of the first local television channels as an assistant news editor, and executive producer of a topical discussion programme.