The maintenance industry is undergoing a fundamental transformation. Thanks to rapid advancements in AI and generative AI, predictive maintenance is no longer limited to complex or high-value assets—it’s now more accessible, actionable, and scalable across a wide range of operations.

In this session, Fiix by Rockwell Automation will explore how AI-driven tools like Fiix Asset Risk Predictor (ARP), Fiix Prescriptive Maintenance, and the Fiix Maintenance Copilot are empowering teams to shift from reactive fixes to truly intelligent maintenance strategies.

Unlike traditional systems that rely on static thresholds and manual oversight, AI-powered models continuously learn from sensor data, historical failures, and operational conditions to detect issues earlier and with greater accuracy. These insights are automatically integrated into your CMMS to trigger work orders, predict spare parts needs, and guide technicians with prescriptive recommendations.

Key takeaways include:

• How AI eliminates false positives and undetected failures by analyzing complex sensor data patterns
• A look at Fiix ARP, which flags asset risks in real time and helps prioritize interventions with intuitive dashboards
• Rapid setup and deployment of predictive maintenance with minimal IT lift
• How Fiix Maintenance Copilot enables root cause analysis and prescriptive suggestions using a CMMS-integrated AI knowledge base
• Ways AI helps extend asset life, reduce downtime, and optimize maintenance efficiency

Whether you're just beginning your predictive maintenance journey or scaling across a complex environment, this session will show how AI is making it easier than ever to get results.