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Delivering on the Industry 4.0 Vision: Leverage Your Ecosystem

Delivering on the Industry 4.0 Vision: Leverage Your Ecosystem

FromChanging the Game with Industry 4.0 in the Intelligent Enterprise


Delivering on the Industry 4.0 Vision: Leverage Your Ecosystem

FromChanging the Game with Industry 4.0 in the Intelligent Enterprise

ratings:
Length:
54 minutes
Released:
Mar 26, 2020
Format:
Podcast episode

Description

The buzz: “While optimism prevails, companies have achieved varying degrees of success in implementing Industry 4.0” (mckinsey.com, 2016). You want to deliver on the Industry 4.0 vision. Great! You’ll need digital transformation, especially in an existing facility, including automation, integration, and optimization of processes and manufacturing lines. Straightforward? Not! Transformation can span multiple solutions, plus onboarding and connectivity of multiple equipment, including brownfield, from numerous vendors. To be successful, you need a common agreement among vendors over standardized compatible connectivity; an extensible edge computing platform architecture; interoperability between Industry 4.0/IIoT solutions and semantic models of assets; and tight collaboration between OEMs and Operators. We’ll ask KUKA’s Dr. Christian Liedtke, Beckhoff’s Gerd Hoppe, and SAP’s Nils Herzberg how to get it done. Join us for Delivering on the Industry 4.0 Vision: Leverage Your Ecosystem.
Released:
Mar 26, 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.