Google and Litmus note that a primary reason that the manufacturing industries haven’t yet undergone a widespread digital transformation is because cloud analytics, AI, and machine learning require a steady and reliable flow of factory data to power the systems that run data models. According to Younes, this expanded alliance “more tightly integrates each company’s offerings and allows customers to purchase it all directly from Google through a go-to-market partnership.” All production data Litmus and Google already had a partnership agreement around applying artificial intelligence (AI) capabilities at the edge with 5G networks. This will make it quick and easy for customers to get access to their machine data in the cloud.” This differentiates the Google Cloud Platform over AWS (Amazon Web Services) and Microsoft Azure and takes them miles ahead of their edge computing for manufacturing offerings by bundling Litmus. John Younes, co-founder and chief operating officer at Litmus.John Younes, co-founder and chief operating officer at Litmus, said this partnership between Litmus and Google is unique because “it’s the first ever combined solution from a cloud company-both from a product and go-to-market perspective. To help address industry’s combined use of both technologies, Google (a provider of cloud computing services) and Litmus (a supplier of edge computing technology) have announced a strategic partnership to offer an integrated edge-to-cloud system wherein the Litmus’ industrial edge computing platform is incorporated into Google Cloud’s suite of smart factory products.
Feedback from Automation World readers indicates that cloud computing is more typically used to process aggregated production data for longer-term strategic analysis and planning, whereas edge computing is used more for real-time analysis of specific equipment or system performance.
Both technologies are needed in manufacturing and processing industry applications because they are used to address different purposes.
As the use of cloud and edge computing technologies proliferated throughout industry, one thing became clear-it’s not whether you’ll use cloud or edge computing, but how you’ll combine the two.
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