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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Various initiatives to create a knowledge graph of these systems have been only partially successful due to the depth of legacy knowledge, incomplete documentation and technical debt incurred over decades.

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Understanding Social And Collaborative Business Intelligence

datapine

Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis. They can also optimize their time if they don’t have to reinvent a report. Discovery and documentation serve as key features in collaborative BI.

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

Ontotext

Knowledge graphs can also enable the creation of “digital twins”, which make sense of the collected data from various sensors in different systems, spanning the entire vehicle lifecycle. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

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

Ontotext

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. For many organizations, however, the question remains, “Is it the right solution for us?”

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Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Additionally, this will enable an organization to utilize resources optimally and enhance the customer’s experience. Data Mining Process. Common Applications.

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Understanding Social And Collaborative Business Intelligence

datapine

Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis. They can also optimize their time if they don’t have to reinvent a report. Discovery and documentation serve as key features in collaborative BI.

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AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

Some of this knowledge is locked and the company cannot access it. We translate their documents, presentations, tables, etc. into structured knowledge that can be processed by machines. Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it.