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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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The power of combining AI and analytics for manufacturers

OpenText Information Management

Artificial Intelligence (AI) has become one of the hottest topics in manufacturing today. Combining AI … The post The power of combining AI and analytics for manufacturers appeared first on OpenText Blogs. The range of business and operational applications that it can be put to is almost limitless.

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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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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.

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2021 State of Analytics: Why Users Demand Better

As organizations become more data driven, their analytics requirements grow. Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. Strengths and weaknesses of their current analytics solution.

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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. Manufacturers are beginning to deploy big data analytics for two essential tasks: … The post Top 5 big data analytics software benefits for manufacturing in 2019 appeared first on OpenText Blogs. With the advent of Industry 4.0