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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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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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BRIDGEi2i Newsletter: Q2 2019 Recap

bridgei2i

For the second time in a row BRIDGEi2i has been featured as a representative vendor in Gartner Market Guide for Data & Analytics Service Providers. The report also lists us an Enterprise Service Provider for BFSI, CPG, High Tech and Manufacturing. We made it to ISG’s top 25 Digital Case Studies globally. Back to News Page.

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BRIDGEi2i Newsletter: July 2019 Recap

bridgei2i

For the second time in a row BRIDGEi2i has been featured as a representative vendor in Gartner Market Guide for Data & Analytics Service Providers. The report also lists us an Enterprise Service Provider for BFSI, CPG, High Tech and Manufacturing. We made it to ISG’s top 25 Digital Case Studies globally. Back to News Page.

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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5 billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. That’s hard to do when you have 30 years of data.”

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