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Intelligent Products and Assets: Creating a Digital Thread from Design to Decommission

Intelligent Products and Assets: Creating a Digital Thread from Design to Decommission

FromChanging the Game with Industry 4.0 in the Intelligent Enterprise


Intelligent Products and Assets: Creating a Digital Thread from Design to Decommission

FromChanging the Game with Industry 4.0 in the Intelligent Enterprise

ratings:
Length:
60 minutes
Released:
Jul 30, 2020
Format:
Podcast episode

Description

The buzz: ‘The digital thread refers to the communication framework that allows a connected data flow and integrated view of an asset’s data throughout its lifecycle across traditionally siloed functional perspectives. The concept raises the bar for delivering “the right information to the right place at the right time’ …spearheaded by the military aircraft industry, it is converging with the goals of Industry 4.0 and Smart Manufacturing.” ibaset.com
In this digital age, information is the key to innovation. Creating a digital thread across a product’s life cycle captures real-time, accurate information from the customer, the purchasing team, the maintenance team and the engineering team. That data can be used to identify design improvements, create new features and lead to innovations.
We’ll ask CIMdata’s Stan Przybylinski, Siemen’s Joe Bohman and SAP’s Keith Zobott for their take on Intelligent Products and Assets: Creating a Digital Thread from Design to Decommission.
Released:
Jul 30, 2020
Format:
Podcast episode

Titles in the series (14)

Industry 4.0 changes everything. Automation and built-in intelligence make a difference at every step of your business, helping you deliver individualized products and services with the efficiency of mass production.The digitization of the industrial production environment in factories, plants, and warehouses is driven by technology innovations which appeared in the aftermath of the Internet and cloud revolution: Internet of Things (IoT) connecting devices, machine-to-machine communication, distributed computing, new edge and cloud technologies, times series and big data lakes, machine learning and artificial intelligence, new mobile user experiences (e.g. augmented or virtual reality) to enable digital workers, autonomous systems and vehicles.