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

O'Reilly on Data

While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections. 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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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

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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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Real-time artificial intelligence and event processing  

IBM Big Data Hub

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

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Why Your Data Lineage is Incomplete Without an Automated Business Glossary

Octopai

The two teams (Lockheed Martin and NASA Jet Propulsion Laboratory) that built the thrusters miscommunicated units (English to metric). Unfortunately, these errors were not caught until too late, for example: 1. So, the software miscalculated. They ignored all the warning signs.

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Top analytics announcements of AWS re:Invent 2024

AWS Big Data

It enables in-order reads during stream scale-up or scale-down, supports Flinks native watermarking, and improves observability through unified connector metrics. You can use the new connector to read data from a Kinesis data stream starting with Flink version 1.19. and provides several enhancements.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

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