Remove Measurement Remove Structured Data Remove Unstructured Data
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Unbundling the Graph in GraphRAG

O'Reilly on Data

presented the TRACE framework for measuring results, which showed how GraphRAG achieves an average performance improvement of up to 14.03%. Entity resolution merges the entities which appear consistently across two or more structured data sources, while preserving evidence decisions. that is required in your use case.

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The Rise of Unstructured Data

Cloudera

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

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Data governance in the age of generative AI

AWS Big Data

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

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3 things to get right with data management for gen AI projects

CIO Business Intelligence

Collect, filter, and categorize data The first is a series of processes — collecting, filtering, and categorizing data — that may take several months for KM or RAG models. Structured data is relatively easy, but the unstructured data, while much more difficult to categorize, is the most valuable.

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Do I Need a Data Catalog?

erwin

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization.

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Your Generative AI LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers

DataKitchen

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

“We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”.