Artificial Intelligence Logistics Robotics Smart manufacturing 
Control Engineering
JULY 12, 2023
smart manufacturing and digital transformation. 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 initiatives. Understand Industry 4.0
Manufacturer's Monthly
AUGUST 31, 2022
In a crowded global market manufacturers are always on the lookout for technologies that will give them an ‘edge’. Autonomous Mobile Robots (AMRs) and Artificial Intelligence (AI) are increasingly being viewed as the key to unlocking Australia’s manufacturing competitiveness. So how do robots fit in to all this?
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E&T
JANUARY 30, 2023
Those companies that deploy AI-ML (artificial intelligence and machine learning) prosper, while those that don’t probably perish. Smart manufacturing Factories and manufacturing units have begun to become smart, and their numbers are likely to increase. Cloud opportunities are in the mobile.
Control Engineering
DECEMBER 7, 2022
Delta provides intelligent manufacturing, sustainability, with expansions, acquisitions, and integrated automation products. Enabling technologies include SCADA, motors, PLCs, machine vision, robotics. Insights on intelligent automation, manufacturing efficiency.
ATS
APRIL 1, 2022
Cognitive computing in manufacturing is a key technology underpinning the digital transformation of Industry 4.0 and the smart factory. Cognitive computing is frequently associated with artificial intelligence, and it is indeed an adjacent process. As facilities increasingly adopt Industry 4.0 2022 IIoT Trends.
Nexus Integra
JANUARY 3, 2023
Even so, huge investments will be made in robotic manufacturing for industry and all kinds of sectors such as energy or manufacturing. Artificial intelligence (AI) will fill the IT skills gap. Significant opportunities in the Internet of Things (IoT). It will not only be about technology, but also about people.
ATS
MAY 10, 2023
AI and machine learning are also helping to improve manufacturing quality and efficiency through advances in automation, collaboration, innovation and other areas. The following aspects of supply chain management have been identified as potential strategies to help improve these areas. Industry 5.0
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