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Enhancing Midstream Operation Reliability with Predictive AI

About the Session

Praveen Shiveswara Sridharamurthy is a Principal Architect at LTIMindtree, where he works on developing and implementing technology solutions for complex industrial operations. His expertise spans enterprise architecture, cloud technologies, data integration, and AI-driven solutions, with a focus on helping organizations leverage modern technologies to improve operational performance, reliability, and decision-making.
 

In his session, Praveen will explore how predictive AI can enhance reliability across midstream operations by anticipating maintenance requirements, reducing unplanned downtime, and improving asset availability. He will demonstrate how combining real-time telemetry with historical operational data can provide a holistic view of compressor performance and enable more informed maintenance decisions. The session will also examine the deployment of AI platforms on secure, scalable cloud infrastructure, highlighting how enterprise-grade architecture can support high availability, compliance, and operational scalability while delivering measurable improvements in reliability and maintenance efficiency.

Key Topics

01 Using predictive AI to anticipate maintenance needs and reduce unplanned downtime
02 Integrating real-time telemetry with historical operational data
03 Applying AI to improve compressor performance and asset reliability
04 Deploying enterprise-grade AI platforms on secure and scalable cloud infrastructure
05 Driving measurable improvements in maintenance efficiency and operational decision-making

For more on this conference or to access the session, reach out to us at info@ptnevents.com.

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