Communications & Networks
Webinar recap: Cloud and edge computing – ERP best practices
September 26, 2019 by Manufacturing AUTOMATION
Cloud, fog, edge: you’ve heard the terms, but what do they mean? How is data analyzed at each level, and do you need them all in your manufacturing operation? How can we make the leap from traditional data collection and storage to these more automated solutions that also provide computation and analysis?
In the latest instalment of Manufacturing AUTOMATION and Pemeco Consulting’s free, quarterly webinar series called Integrating the Enterprise: ERP Best Practices, we sought to answer those questions.
On September 25, 2019, we presented our third webinar in the series: “Cloud & Edge Computing: ERP Best Practices,” which dug deeper into the technology architectures of Industry 4.0, specifically cloud, fog and edge. Speaker Jonathan Gross, managing director of Pemeco Consulting, used examples to demonstrate what the differences between the computing levels are, shared architectural considerations, and evaluated the pros, cons and risks of analyzing data in the cloud versus the edge.
He followed that up with a plan for businesses to implement these data analytics and storage tools.
If you missed Gross’ road map to success with implementing Industry 4.0 practices, you can still view the recording by registering at this link.
Special thanks to our speaker, Jonathan Gross of Pemeco Consulting, for his informative presentation!
About the speaker
Jonathan Gross, LL.B., M.B.A.
Jon is managing director at Pemeco Consulting, a vendor-neutral consulting firm. He leads clients through the entire digital transformation lifecycle, including: technology architecture and planning, technology vendor selection, technology procurement, implementation, and ongoing optimization. More specifically, Jon helps Pemeco’s manufacturing and distribution clients architect and implement technology environments that integrate ERP with the edge, including IoT, analytics, manufacturing execution, quality, supply chain, logistics, and other such systems. Jon is sought after for thought leadership and speaking engagements by industry analysts, trade associations, and trade publications. He has also acted as part-time systems analysis and design MBA professor at the Schulich School of Business at York University.