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GE VERNOVA TO INTEGRATE PREDICTIVE ANALYTICS SOFTWARE TO OPTIMIZE OPERATIONS FOR TASNEE IN GULF REGION
TASNEE will be the first petrochemical company in the Gulf region to use and integrate predictive analytics into its APM workflows.
TASNEE petrochemical plant, Saudi Arabia
GE Vernova announced it will provide its cutting-edge predictive analytics software to National Industrialization Company (TASNEE), a leading Saudi-based petrochemical industrial business. GE Vernova will integrate SmartSignal - a predictive analytics software designed to help prevent equipment downtime by detecting, diagnosing, forecasting, and preventing emerging failures in industrial companies - to its existing Asset Performance Management (APM) program used by TASNEE. This is a significant step forward in TASNEE’s commitment to leveraging innovative software technologies to enhance operational efficiency, reliability, and sustainability across its extensive industrial operations in Saudi Arabia.
GE Vernova's APM suite, which includes its Reliability application, is known for offering advanced capabilities in forecasting asset performance and predicting maintenance needs. TASNEE is the first petrochemical company in the Gulf region to integrate GE Vernova’s SmartSignal into its existing APM workflow. This software integration seeks to empower TASNEE to proactively manage its critical assets, optimize maintenance schedules, and minimize unplanned downtime. By expanding the use of GE Vernova's APM applications, TASNEE aims to drive operational excellence and maximize the lifespan of its assets, contributing to increased overall productivity while addressing sustainability in the petrochemical industry.
The strategic use of GE Vernova’s predictive analytics software exemplifies TASNEE’s commitment to innovation, sustainability, and operational excellence.
GE Vernova's advanced analytics platform combines data-driven insights with machine learning (ML) algorithms, enabling TASNEE to move from traditional reactive maintenance practices to a more proactive and predictive approach. This transition aligns with TASNEE’s vision of operational excellence and underscores its dedication to delivering advanced products and services to its customers. The use of predictive analytics generates a composable APM solution to support the overall goals of the organization.
GE Vernova announced it will provide its cutting-edge predictive analytics software to National Industrialization Company (TASNEE), a leading Saudi-based petrochemical industrial business. GE Vernova will integrate SmartSignal - a predictive analytics software designed to help prevent equipment downtime by detecting, diagnosing, forecasting, and preventing emerging failures in industrial companies - to its existing Asset Performance Management (APM) program used by TASNEE. This is a significant step forward in TASNEE’s commitment to leveraging innovative software technologies to enhance operational efficiency, reliability, and sustainability across its extensive industrial operations in Saudi Arabia.
GE Vernova's APM suite, which includes its Reliability application, is known for offering advanced capabilities in forecasting asset performance and predicting maintenance needs. TASNEE is the first petrochemical company in the Gulf region to integrate GE Vernova’s SmartSignal into its existing APM workflow. This software integration seeks to empower TASNEE to proactively manage its critical assets, optimize maintenance schedules, and minimize unplanned downtime. By expanding the use of GE Vernova's APM applications, TASNEE aims to drive operational excellence and maximize the lifespan of its assets, contributing to increased overall productivity while addressing sustainability in the petrochemical industry.
The strategic use of GE Vernova’s predictive analytics software exemplifies TASNEE’s commitment to innovation, sustainability, and operational excellence.
GE Vernova's advanced analytics platform combines data-driven insights with machine learning (ML) algorithms, enabling TASNEE to move from traditional reactive maintenance practices to a more proactive and predictive approach. This transition aligns with TASNEE’s vision of operational excellence and underscores its dedication to delivering advanced products and services to its customers. The use of predictive analytics generates a composable APM solution to support the overall goals of the organization.
www.gevernova.com
