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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general.

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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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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. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances. Why IBM Consulting for generative AI on AWS?

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EU Commission Issues Draft AI Regulation

Data Matters

Companies engaged in the development, manufacturing, importation, distribution, servicing, and use of AI – irrespective of industry – should assess to what extent their products are implicated and how they will address any regulatory requirements they are subject to.

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The Hacker Mind Podcast: The Internet As A Pen Test

ForAllSecure

Typically they have a greater span of control across the platform and the capability capability across the platform in the industry as a whole. And these nuances are being noted in the insurance industry. This is a very new industry. And the point of all of them being it is a status that is an industry regular regulation.

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Best Fraud Management Systems & Detection Tools in 2022

eSecurity Planet

In its 2021 Threat Force Intelligence Index , IBM reported that manufacturing and financial services were the two industries most at risk for attack, making up 23.2% The healthcare industry is a similarly high-value target thanks to the incredibly sensitive personal details they keep on patients and customers.

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