Artificial Intelligence (AI) is upending businesses by unlocking value & drastically changing operating models. Will Reliability Engineering be transformed? The data-intensive exercises of reliability testing, verification & validation, and fleet monitoring can be improved vastly by deploying AI tools. How should the AI implementation be done to get the maximum benefits? The presentation explores answers to these questions in the context of implementing a Predictive Maintenance (PdM) program where repair work is always planned & executed at optimal times. A strategic framework is needed to plan, execute, and sustain an AI program. Utilizing algorithms to predict machine failures empowers Reliability Engineers with information that they use to manage design iterations, repair work, spare parts, and production. No more reacting to failures after a breakdown resulting in huge losses; project teams will be proactive & efficient. Whether you're an Executive, an Engineer, or a Student, the talk will have key takeaways to set you up on the reliability transformation journey. Speaker(s): Arun Gowtham, Agenda: 11:00 AM Technical Presentation 11:45 AM Questions and Answers 12:00 PM Adjournment Virtual: https://events.vtools.ieee.org/m/390437

Monthly ExCom meeting for January 2024 Virtual: https://events.vtools.ieee.org/m/400689

Monthly ExCom meeting for January 2024 Virtual: https://events.vtools.ieee.org/m/400689