Tyler Fedun

Director, Operations Analytics Energy Transfer

Strategic and forward-thinking Director of Development and Data Analytics with a proven track record of driving digital transformation within the energy sector. Expert in architecting AI-driven systems and delivering innovative data solutions that achieve significant operational and financial optimization.

Conference Day 1 - Wednesday September 23

5:00 PM A Year In: Operationalizing Machine Learning for Predictive Maintenance at Scale

In early 2025, Energy Transfer Partners rolled out a machine learning enabled predictive maintenance program across their extensive pipeline network. One year into their five year journey, Mike Martin will share both the promise and the practical challenges of scaling predictive analytics across their fleet of complex rotating equipment systems.

From early pilot results to lessons learned in data integration and organizational alignment, this session offers a candid look at:

How a centralized data infrastructure enables successful machine learning and why it is the critical first step
Lessons learned from implementing predictive models, including early successes using historical failure scenarios
Leveraging operational data to proactively detect failures, identify anomalies, and optimize maintenance strategies
Strategies for scaling from pilot programs to enterprise-wide deployment across hundreds of assets
The roadmap toward true predictive maintenance, reducing reliance on calendar-based and runtime-based servicing

Check out the incredible speaker line-up to see who will be joining Tyler.

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