Cobots without Compromises: Applications for Next Generation Cobots

Cobots without ondemand
The next generation of collaborative robots features increased payloads and higher speeds, increasing the range of applications across all industries. Join Joe Campbell, Head of Strategic Marketing for Universal Robots, as he shares more about this new generation of cobots, what hardware and software features have been upgraded, and how UR is powering robust automation solutions throughout the industry.
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OTHER ON-DEMAND WEBINARS

Industry 4.0 One Step at a Time

IndustryWeek

Industry 4.0 has the opportunity to dramatically transform the way manufacturers compete. Some of the benefits that companies are looking to achieve via Industry 4.0 include improved quality, reduced costs, shorter cycle times, and increased revenue. While the benefits can be significant, the path to get there can seem overwhelming.
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HOW CLOUDEMS WILL TRANSFORM YOUR MANUFACTURING

Are you looking for a new way to meet compliance requirements for environmental monitoring? CloudEMS is a cloud-based Environmental Monitoring System (EMS) that provides an efficient and secure way to monitor environmental conditions in your laboratory, warehouse or production area. It allows you to collect data from sensors installed in your facility and store it in the cloud for later retrieval and analysis.
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AI-Driven Transformation and Innovation in Manufacturing

Squirro

According to the International Data Corporation, worldwide spending on the technologies and services that enable digital transformation has been forecast to reach $1.97 trillion in 2022. The applications of Artificial Intelligence across the manufacturing value chain will be critical to remain competitive in this evolving landscape. Industry 4.0 sees AI used for new customer acquisition, machinery maintenance, supply chain optimization, and much more.
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Graphs in Automotive & Manufacturing: Unlock New Value from Your Data

Neo4j Graph Platform

In this session, we take a look at graph database technology within manufacturing in general, and more specifically in the automotive industry. We review the types of data that are typically available within a manufacturing company, illustrate some automotive-specific graph data models, and discuss the use cases those data models enable and transform.
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