Leveraging AI and Analytical Efficiency for Next-Generation Predictive Maintenance

Synopsis

• Root Causes and Solutions: Insights into the sources of machine degradation and the actionable opportunities for improvement, emphasizing the importance of predictive
maintenance practices
• The Right Data: Strategies for collecting comprehensive, high-fidelity data necessary for accurate diagnostics and analysis, including the need for frequent data sampling,
intermittent sampling, and a single pane of glass of 3rd party and legacy sensors
• The Right Analysis: Techniques for simplifying and organizing data into actionable insights using AI and machine learning; automating the identification, diagnosis, and
resolution of issues through prioritization and workflows
• The Right Action: Ensuring that insights are delivered to the right person, at the right time, and in the right context to empower workers to take effective action; improving
maintenance quality, optimizing machine health, and eliminating unplanned events