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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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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens.

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IBM and business partner bring intelligent equipment maintenance to automotive company with IBM Maximo

IBM Big Data Hub

hereafter as Shuto Technology) to help a joint venture Original Equipment Manufacturer (OEM) in China to obtain information in an accurate and cost-effective way for on-site technicians. IBM® recently announced that it has worked with its business partner, Beijing Shuto Technology Co.,

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EU Commission Issues Draft AI Regulation

Data Matters

The Draft AI Regulation is accompanied by a revision of the EU’s rules on machinery products, which lay down safety requirements for machinery products before being placed on the EU market. AI systems which are considered to present a lower risk level are subject to transparency requirements or are not regulated at all.