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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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News alert: MxD roundtable with White House officials highlights cybersecurity workforce needs

The Last Watchdog

21, 2023 — MxD, the Digital Manufacturing and Cybersecurity Institute, today hosted a roundtable discussion with the White House Office of the National Cyber Director. Each participating organization is committed to developing cyber skills and programs to train the workforce across a wide range of industries, including manufacturing.

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GKN Aerospace — Journey to integrated business planning

IBM Big Data Hub

GKN Aerospace is a leading global supplier in the aerospace industry, specializing in the design, manufacturing, and supply of advanced aerospace systems and components. With physical locations in 12 countries and 34 manufacturing sites worldwide, the company employs over 16,000 people.

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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

Prolonged development cycles might harm automotive manufacturers’ sales and customer loyalty. Automotive manufacturers, having a wealth of data related to existing designs, can use these large bodies of data to train AI models. However, in today’s market, consumers demand rapid releases of new models.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics Board member. In our 2023 Impact Report , we reported that 70.6%

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.