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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

Coupled with search and multi-modal interaction, gen AI makes a great assistant. They may use it to design a better way for operators to retrieve the correct information quickly and effectively from the vast repository of operating manuals, SOPs, logbooks, past incidents and more. Manufacturers use summarization in different ways.

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Understanding Social And Collaborative Business Intelligence

datapine

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Discovery and documentation serve as key features in collaborative BI.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

While Big Data was all the rage, now “small and wide” data is the focus, giving more specificity to the information being developed. However, for this to happen, there needs to be context for the data to become knowledge. It involves bringing together different pieces of information from various sources and making them work in concert.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata. She also shared the architecture behind the vision of building useful semantic search, valuable insights platform, and powerful knowledge discovery environment.

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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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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

often want to find information about a particular medical product, for example, if any serious adverse reactions have been reported for it. FROCKG (Fact Checking for Large Enterprise Knowledge Graphs) is a Eurostars-2 project that aims to develop efficient approaches to ensure the veracity of facts contained in enterprise knowledge graphs.

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

Ontotext

A graph solution allows us to create a connection layer that facilitates consistent aggregation and ingestion of diverse information types from sources, internal or external, to the organization. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications.