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EtaPRO awarded contract with Aluminium Bahrain B.S.C. (Alba)

EtaPRO LLC, a Toshiba Group Company, is excited to announce that Aluminium Bahrain B.S.C. (Alba), the world’s largest Aluminium smelter ex-China, has selected the EtaPRO® Asset Performance and Condition Monitoring platform to accelerate its Digital Transformation initiatives.

As leading organizations such as Alba look to unlock the full potential of digital technology at scale, EtaPRO will help Alba measure plant degradation through a powerful digital dashboard to enhance Alba’s asset reliability. The EtaPRO platform combines the power of thermal performance, anomaly detection, and predictive analytics to help plants increase the availability, reliability, and efficiency of their most critical assets. Installed on over 3,000 units across 60+ countries, EtaPRO helps plants improve overall performance and delivers critical data and insights to support companies’ digital transformation efforts.

“We are delighted that a global leader such as Alba has chosen EtaPRO to achieve its ambitious Digital Industry 4.0 initiatives,” stated Richard DesJardins, Chief Operating Officer, EtaPRO LLC. “Digital Transformation, coupled with process knowledge, enables organizations to innovate new ways to manage and transform their business. As a market leader in Asset Performance and Condition Monitoring technology, we look forward to supporting Alba and the Kingdom of Bahrain on their continued journey to achieving digital excellence,” added DesJardins.

Alba’s Chief Executive Officer, Ali Al Baqali, stated, “We believe that Digital Transformation is a discipline rather than a project. As part of our Industry 4.0 revolution, we identified the need to have an online Performance Management System (PMS), based on an industry-leading digital solution utilizing Artificial Intelligence (AI), which would provide us with the flexibility to host the PMS in the cloud. We are excited to partner with EtaPRO LLC as we carve our way to meet our Company’s objectives in terms of efficiency and optimization.”

CT Bureau

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