Managing the Risks of Digital...

Digital transformation is a disruptive process that often throws companies into uncharted territory for their business. Many organizations have plunged headlong into the process and are ahead of the

MachineMetrics / Aug 06, 2019

MachineMetrics Becomes One of the First...

07/23/2019– MachineMetrics Industrial IoT Platform for discrete manufacturing announced today that it has achieved Amazon Web Services (AWS) Industrial Software Competency status. This designation

MachineMetrics / Jul 31, 2019

MachineMetrics Awarded “Best AI-Driven...

MachineMetrics Recognized for AI-Driven Manufacturing Technology Northampton, MA, July 24, 2019 – MachineMetrics, a leading industrial IoT (IIoT) and smart manufacturing startup located in Western

MachineMetrics / Jul 25, 2019

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 Read AI 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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