Leveraging Proactive Predictive & Prescriptive Maintenance Strategies to Improve Reliability and Precision & Minimize Downtime

Keith Holdaway, Advisory Industry Consultant: Geophysics at SAS, brings deep expertise in applying advanced analytics to the energy sector, particularly in optimizing geophysical and operational processes. With a strong background in data-driven strategies, he focuses on enhancing asset performance, reliability, and operational efficiency. He is all set to share his views on Leveraging Proactive Predictive & Prescriptive Maintenance Strategies to Improve Reliability and Precision & Minimize Downtime, offering insights into how advanced analytics and AI can transform maintenance approaches and significantly reduce unplanned outages in complex industrial environments.

He will share his views on building a comprehensive Maintenance Maturity Roadmap, starting with a logical Asset Performance Management (APM) foundation that supports long-term reliability and efficiency goals. His session will explore the business value propositions of adopting data-driven maintenance strategies, including the integration of machine learning algorithms and digital twins to enhance predictive capabilities. He will also highlight how these technologies contribute to minimizing downtime and improving precision in maintenance planning. Drawing from real-world insights, he will present an APA case study that demonstrates the successful application of these advanced solutions in driving measurable operational improvements.