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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. Technology and disruption are not new to manufacturers, but the primary problem is that what works well in theory often fails in practice. The manufacturing industry is in an unenviable position.

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Understanding Social And Collaborative Business Intelligence

datapine

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. As we have seen, many leading auto part makers and car manufacturers use knowledge graphs to improve their operations.

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Understanding Social And Collaborative Business Intelligence

datapine

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward.