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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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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

Unified data access, strong governance and robust security combined with technical expertise and a clear understanding of business objectives will be essential.” Financial services organizations need a modern data platform that allows them to anonymize data and share it without moving or copying it or risking the exposure of PII.

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Data Trends 2024: Strategies for an AI-Ready Data Foundation

Snowflake

We saw that collectively, organizations are definitely preparing their data to be used more effectively with powerful, new AI technologies. The most marked finding was around governance. Strong data governance is essential to meet security and compliance obligations, but it is often regarded as a hindrance.

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Snowflake Cortex Search: State-of-the-Art Hybrid Search for RAG Applications

Snowflake

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

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2024 Governance Trends for Data Leaders

phData: Data Engineering

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. With that, let’s get into the governance trends for data leaders! No problem!

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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

From inception, Snowflake has had a clear focus on security and governance of data by bringing compute to the data as opposed to creating new copies and additional silos. Figure 1: Visual Question Answering Challenge data types and results.

Building 120
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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.