A survey by Yokogawa found that more than half of decision makers from global process industries are increasing their investments in industrial autonomy. Following recent analysis of how its customers are using its visual drag and drop Flow Studio, Goran Appelquist, CTO at Crosser, provides insight into the five most popular analytics modules being used to create data flows in its platform.
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According to ABI Research, pharmaceutical manufacturers will spend USD 1.2 billion on data analytics by 2030. The industry is accustomed to one way of operating – large batch size production. As pharmaceutical production moves to a more personalised approach, manufacturers may struggle to keep pace and remain agile. How can the industry catch up?
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Crosser, known for edge analytics, intelligent workflows and hybrid integration, will exhibit its most recent product launch at Smart Production Solutions (SPS) in Nuremberg, Germany.
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There’s debate over the origins of the French fry – did it originate with English fish and chips, French steak-frites or Belgian frieten with mayonnaise? Many have laid claim to the fried potato. What cannot be denied, however, is the dish’s popularity as a staple of the modern Western diet. But this global demand requires intense processing, and data management, from food manufacturers.
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Crosser and Weidmüller announce a partnership to deliver an end-to-end machine learning solution that empowers subject matter experts to build and deploy machine learning powered use cases, without the support of data science experts.
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Moxa Europe GmbH and Crosser announce their cooperation. Together, Crosser’s edge analytics platform and Moxa’s reliable network, connectivity and edge computing solutions will help manufacturing companies to connect their devices to offer better collaboration between systems, processes, and people.
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Crosser has expanded the capabilities of its Crosser Platform with a new edition called Crosser IPA (Intelligent Process Automation).
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Swedish philosopher Nick Bostrom once said, “machine intelligence is the last invention that humanity will ever need to make”. Artificial intelligence (AI) decision making, paired with real time communication and data analytics, has the ability to transform the way manufacturers understand their machines. Here Johan Jonzon, CMO and Co-Founder of Crosser, explains how combining AI with the IoT can unlock the next generation of manufacturing.
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