MES vs. IIoT Platform: Why Not Both?

Is an MES or IIoT Platform (or Both) the Best Option for You? The increasing use of industrial automation in process and discrete manufacturing facilities have put the manufacturing execution system

IIOT MachineMetrics MES / Jun 25, 2020

A Manufacturer's Guide to Edge Computing

Below is what we will cover in this in-depth article on edge computing in manufacturing. Select a link if you would like to jump to a particular section: An Introduction to Edge Computing in

MachineMetrics / Jun 17, 2020

A Long-Term Strategy for Manufacturers...

It’s not uncommon for a factory to operate several generations of the same type of production equipment within a single factory. Except for extremely large companies with very deep pockets, most

MachineMetrics Industry 4.0 / Jun 10, 2020

IT professionals focusing on IoT

Graham Immerman Manufacturing News / May 30, 2018

Forbes reported that a recent survey showed 31% of 500 IT professionals listed IoT as their primary focus of new tech projects. "Of companies surveyed, more have IoT workflows already in production than AI. This is because a stable IoT and edge computing foundation are often prerequisites for enterprises to break ground on a machine learning model in the first place." Investing in IoT first can pave the way for those interested in AI.

Recommended ReadAI And IoT Lead The Way For Enterprise New Tech Investment In 2018Source: http://www.forbes.com

According to a recent survey from SADA Systems of IT professionals at large companies, artificial intelligence (AI) and internet of things (IoT) are the primary areas of focus for enterprise investments in new tech in 2018. Of the 500 IT professionals surveyed, 38% claimed that AI was the primary focus of emerging tech projects, with IoT and blockchain coming in at 31% and 10%, respectively. IoT connected devices often generate the dizzying amounts of data necessary to train machine learning models. Of companies surveyed, more have IoT workflows already in production than AI. This is because a stable IoT and edge computing foundation are often prerequisites for enterprises to break ground on a machine learning model in the first place, though recent cloud PaaS rollouts of pre-built, adaptable ML models are shaking up the landscape for development. Read More

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