Remove Interactive Remove Knowledge Discovery Remove Manufacturing
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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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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? Manufacturing and Industry 4.0

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. We would like to be able to get quick answers to questions like: W hat type of paint did we use to manufacture this engineering part in 1956?”

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

In each case, users engage with the service at will and the service makes available a rich set of possible interactions. But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data.