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Taking compressed air solutions to new heights

Manufacturer's Monthly

With the name change completed, the final stages of the combination of Sullair and Hitachi Industrial Equipment Systems is completed, this article will uncover what this means for the compressed air market in Australia. In a significant stride towards innovation and industry leadership, Hitachi Industrial Equipment Systems Co.

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Hitachi Rail to deliver sustainable digital commuter railway

MEM

Hitachi Rail has been awarded a major contract worth around 114bn JPY *1 (around 814m USD) called CP04 by the Philippine Government’s Department of Transportation to deliver Electrical & Mechanical Systems and Track Works, including digital signalling for the new commuter railway from Solis to Malolos in the Philippines.

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Is Industry 4.0, smart manufacturing working for you?

Control Engineering

Control Engineering asked these questions and others about smart manufacturing and digital transformation to Jeff Winter, senior director industry strategy, manufacturing, Hitachi Solutions, and an industry expert on Industry 4.0 Courtesy: Jeff Winter, Hitachi Solutions The three biggest ways that Industry 4.0 on LinkedIn.

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OPG joins international group to advance nuclear

Canadian Manufacturing

WASHINGTON — GE Hitachi Nuclear Energy (GEH), Ontario Power Generation (OPG), Tennessee Valley Authority (TVA), and Synthos Green Energy (SGE) join to advance the global deployment of the GEH BWRX-300 small modular reactor (SMR). A rendering of the BWRX-300 small modular reactor. CNW Group/Ontario Power Generation Inc.) Poland and beyond.

Form 52
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UK Metals Expo Showcases Innovation and Growth in Metal Manufacturing

MEM

The expo fosters knowledge sharing and collaboration, allowing participants to learn from each other’s experiences and collectively drive the industry towards a sustainable, net-zero future.

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AT&T Accelerates AI Transformation and Speed to Market Up to 70% with H2O.ai and AI Feature Store

i4.0 today

collected from throughout AT&T. Conventional wisdom indicates data scientists and machine learning (ML) experts spend about 80% of their time generating, preparing and labeling data.