Praveen Shiveswara Sridharamurthy is a senior Principal Architect at LTIMindtree with over 21 years of extensive experience in the energy sector, specializing in digital transformation, real-time operational data management, cloud computing, and enterprise AI integration. Based in Houston, Texas, he has been at the forefront of designing and leading large-scale digital modernization programs that transform how industrial organizations operate. His work focuses on bridging complex legacy OT systems with modern cloud-native and AI-enabled platforms, enabling energy companies across oil & gas, utilities, and chemical industries to modernize mission-critical operations while maintaining reliability, security, and scalability.
With deep technical and strategic expertise, Praveen architects and deploys multi-cloud industrial data ecosystems that integrate real-time telemetry, sensor data, and historical operational information from complex assets. His solutions enable advanced capabilities such as predictive maintenance, asset health monitoring, AI-driven operational optimization, and real-time decision intelligence, delivering measurable improvements in efficiency, uptime, and operational resilience. Known for translating highly complex industrial data challenges into scalable, business-ready cloud and AI solutions, Praveen helps energy organizations enhance reliability, improve strategic decision-making, and drive long-term value across the upstream, midstream, and downstream energy value chain.
Key Topics -
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AI models anticipate maintenance needs to reduce unplanned downtime and improve asset availability across critical energy assets.
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Real-time telemetry and historical operational data are unified to deliver a holistic view of compressor performance.
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The AI platform is deployed on Palantir on AWS, enabling secure, scalable, and compliant enterprise-grade operations.
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Predictive insights drive measurable improvements in reliability, maintenance efficiency, and operational decision-making.
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