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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Top 5 big data analytics software benefits for manufacturing in 2019

OpenText Information Management

Data has long been the lifeblood of manufacturing. and the Internet of Things (IoT), the amount of data at hand has grown exponentially. Companies have used it to increase efficiencies, improve performance and productivity, and reduce waste. With the advent of Industry 4.0

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Jabil is building reports with IBM Business Analytics Portfolio

IBM Big Data Hub

Jabil isn’t just a manufacturer, they are experts on global supply chain, logistics, automation, product design and engineering solutions. They are also interested and involved in the holistic application of emerging technologies like additive manufacturing, autonomous technologies, and artificial intelligence.

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2021 State of Analytics: Why Users Demand Better

As organizations become more data driven, their analytics requirements grow. The expectation to do more with their data becomes a moving target for them and the applications that serve them. Strengths and weaknesses of their current analytics solution. But what do users really want?

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Analytics and AI. The rise of the data-driven manufacturer

OpenText Information Management

Global economic growth for the manufacturing sector is slow with few signs of recovery. There’s now really only one asset that hasn’t been optimized: corporate data. Manufacturing firms are still a long way off fully exploiting the mountains of data they produce. … The post Analytics and AI.

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How to improve manufacturing ROI with prescriptive analytics

IBM Big Data Hub

Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently.