How Analytics, Dashboards, and Intelligence are Transforming Manufacturing

whitePaper | November 17, 2022

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whitePaper | May 11, 2022

The Upcoming digital transformation of the print and media industry towards, printing industry 4.0 is leading to an even closer integration of industry players with their customer, suppliers and partners. The distrubution of task between the parties involved has been evolving in some areas, providing an increasing number of opportunities to add value to products and services.

whitePaper | July 16, 2020

That experience demands a platform supported by increased connectivity and cloud infrastructure. The industry will require immense computing and processing power for all the information that AVs rely on and will continue to rely on in a future with 5G.

whitePaper | October 10, 2022

Manufacturers are performing in a highly volatile environment Today’s manufacturers face a number of urgent challenges that they need to overcome in order to keep their business on track and gain competitive advantage. These challenges include customer demands for faster deliveries, greater product innovation and more Product as a Service offerings (servitization). Additionally, customers, investors and regulators are pressuring manufacturers to reduce their carbon footprint and improve transparency along their supply chains.

whitePaper | May 15, 2022

Around the world, traditional manufacturing industry is in the throes of a digital transformation that is accelerated by exponentially growing technologies (e.g. intelligent robots, autonomous drones, sensors, 3D printing). The pace of change reflects ’Moore’s law’ on the speed at which information technology-driven change happens. Companies and their industrial processes need to adapt to this rapid change if they are not to be left behind by developments in their sector and by their competitors.

whitePaper | July 25, 2022

Manufacturers are demanding ever-greater precision, accuracy, and reliability from industrial automation. Fortunately, sensors, robot arms, grippers, and the software to connect and guide them have become increasingly capable. In response to the labor and supply chain challenges of the past few years, as well as the demands for personalization and rapid fulfillment, many factories and other facilities are looking to adopt robots or add them to their operations. In this Special Focus Issue, we look at how AI and machine learning are enabling more precise picking, among other applications.