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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

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30 Best Manufacturing KPIs and Metric Examples for 2021 Reporting

Jet Global

This allows management to quickly make informed decisions that are backed up by data. Manufacturing. The manufacturing industry is continually moving toward automation and away from manual labor. Manufacturing Operational Key Performance Indicators. Distribution. Financial KPIs for the Operations Manager.

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Here’s How To Implement Manufacturing Analytics Today

Smart Data Collective

Big data is everywhere , and it’s finding its way into a multitude of industries and applications. One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant.

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Get Creative with AI Forecasting in Changing Economic Conditions

DataRobot Blog

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. Others include supply chain disruptions for manufacturers, staffing shortages for hospitals or distribution centers and many more.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Automotive: Incorporate records of component sturdiness and failure into upcoming vehicle manufacturing plans.

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Next Stop – Predicting on Data with Cloudera Machine Learning

Cloudera

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.