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Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, dataintegration and enterprise digital transformation. Clean your data to ensure dataquality.
We rather see it as a new paradigm that is revolutionizing enterprise dataintegration and knowledgediscovery. It is these two important types of data, which, taken together, implement the Semantic Web vision bringing forward innovative ways of tackling data management and dataintegration challenges.
Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of dataintegration, data and service-level management. This provides a solid foundation for efficient dataintegration.
So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic dataintegration , and ontology building.
Graphs boost knowledgediscovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Linked Data, subscriptions, purchased datasets, etc.).
Capturing data, converting it into the right insights, and integrating those insights quickly and efficiently into business decisions and processes is generating a significant competitive advantage for those who do it right. dataintegration, digitalization, enterprise search, lineage traceability, cybersecurity, access control).
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