Track
Technical Library
Name
Increase Asset Reliability and Performance with No Code AI
Description
Industrial assets often fail without any advanced notification causing unscheduled downtime, damage to equipment and increased safety risk. This unpredictability leads to substantial unexpected costs and profit loss. In this presentation you’ll learn how major industrial enterprises are reducing OPEX costs by 10-20% by transforming their operations and maintenance practices from reactive to predictive and prescriptive. Learn how you can leverage the industrial asset data in your PI System with Artificial Intelligence and Machine Learning to provide early warning detection, diagnosis and prescriptive remediation of industrial asset failures. Enable your workforce to focus on optimizing plant operations profitably and sustainably. Key take-aways: - Learn how to optimise existing investments and maximize productivity to boost margins - Learn how Duke Energy has realized $100’s of millions in avoided costs over the last decade