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Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

Faster and easier knowledge discovery has obvious cost benefits and reduces duplication of effort. That means more accurate data and more timely decision-making based on that data. Data Governance. Without metadata, the chances of finding anything you are looking for are near nil. Universal integration.

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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. Linked Data, subscriptions, purchased datasets, etc.).

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How search accelerates your path to “AI first”

CIO Business Intelligence

The combination of AI and search enables new levels of enterprise intelligence, with technologies such as natural language processing (NLP), machine learning (ML)-based relevancy, vector/semantic search, and large language models (LLMs) helping organizations finally unlock the value of unanalyzed data. How did we get here?

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

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.