Transforming Manufacturing Reliability: Accelerating Time-to-Value Through an AI-Driven RCM Solution for Optimal Efficiency and Streamlined Operations

Embarking on the convergence of Gen AI and Reliability-Centered Maintenance (RCM) marks a pivotal moment to propel manufacturing reliability to unprecedented heights. This cutting-edge approach presents an unparalleled opportunity for companies to align their maintenance practices to business goals, promoting proactive maintenance strategies and contributing to overall operational excellence. Join us to learn:

  • How generative AI simplifies and significantly optimize the resources needed to apply RCM
  • How to analyze failure modes of various assets or equipment alongside their root cause and its effect on system functionality
  • How to make data-driven maintenance decisions with focus on critical assets and improve asset
  • How to quickly operationalize AI-driven reliability to extend the equipment lifespan and unlock the full potential of the assets accelerating your journey towards predictive maintenance

Michael Desabris
Product Manager for Maximo Asset Performance Management
IBM Sustainability Software

Michael has spent his career aligning solutions to customer’s business goals, analyzing business practices, leading workshops, developing business cases, operating models, and road maps to determine solutions for intricate business problems, and motivating my team to deliver the desired solution. He brings great expertise in the field of maintenance, reliability, facilities, and capital management with a point focus on developing and or optimizing Enterprise Asset Management (EAM), Integrated Work Managements (IWMS), Cloud, Mobile, Internet of Things (IOT), AI/ML Solutions. Hands on leadership roles include growing consulting practices for multiple “big 4” and boutique to enable digital transformation of the clients he serves. Michael has worked with Global 2000 companies including leading utilities, oil and gas, metals and mining, manufacturing, life sciences, financial services firms, real estate firms and federal, state and local governments and municipalities.

Dr. Dhaval Patel
Senior Technical Staff Member, IBM Research

Dr. Dhaval Patel is a Senior Technical Staff Member (STSM) at IBM Research, where he has been driving innovation in the field of Artificial Intelligence (AI) and Machine Learning (ML) since 2016. With a PhD in Computer Science from the National University of Singapore, Dr. Patel is a renowned expert in applying AI and ML technologies to solve complex industrial challenges. Dr. Patel has received numerous awards for his outstanding technical and research accomplishments, including 10 awards from IBM for advancing AI technology to address real-world problems in various industries. His work has been instrumental in developing flagship IBM Research products such as AutoAI-TS and Maximo Application Suites for Anomaly Detection, which have revolutionized the way businesses operate.

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