Remove Recreation/Entertainment Remove Structured Data Remove Unstructured Data
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Unbundling the Graph in GraphRAG

O'Reilly on Data

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact. Chunk your documents from unstructured data sources, as usual in GraphRAG.

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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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Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms.

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How IBM sports and entertainment partnerships transform an industry—and win an Emmy

IBM Big Data Hub

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). These include the Masters , the GRAMMYs , US Open Tennis , Wimbledon and ESPN.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

Software Development Remains a Driving Force of Big Data. We are living in a data-oriented world where everyone seems obsessed with Big Data. Whether it’s in the banking sector, health, communication, marketing, or entertainment, Big Data has permeated every aspect of our daily lives. Unstructured.

Big Data 101
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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

They are designed for enormous volumes of information, including semi-structured and unstructured data. Unstructured data could include things like social media posts, online reviews, and comments recorded by a customer service rep, for example. Data lakes move that step to the end of the process.

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Shutterstock capitalizes on the cloud’s cutting edge

CIO Business Intelligence

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform. “We