IoT in Manufacturing From Digital Manufacturing To Digital Society

| July 15, 2019

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The emergence of advanced data analytics and data processing is anticipated to aid the growth of the global IoT in manufacturing market. Applications of IoT in manufacturing help gain insight into the performance and lifetime asset value of machines, enable greater control over the complex aspects of manufacturing operations, improve quality management and enterprise compliance, improve production yield rates, reduce carrying costs and out-of-stock inventory, accelerate inventory turns, enable predictive maintenance, collect and track throughout production, and provide real-time insights into manufacturing operations.Growing adoption of innovative technologies and the increasing focus of key players on research and development activities are expected to fuel the growth of the market for IoT in the manufacturing sector. Furthermore, exposure of intelligent machine applications and the increasing need for agile production and operational efficiency are anticipated to assist the growth of the market. In addition, rise in regulatory compliances around the world is likely to help the IoT market in the manufacturing sector.

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Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

OTHER ARTICLES

Make Room For Public Clouds In Your Industrial IoT Strategy

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Article | April 13, 2021

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The Rise of the AIoT

Article | March 3, 2020

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Spotlight

Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

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