Remove Data Governance Remove Document Remove Unstructured Data
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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.

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Data governance in the age of generative AI

AWS Big Data

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

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Alation and Salesforce partner on data governance for Data Cloud

CIO Business Intelligence

It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud. We look at the entire landscape of information that an enterprise has,” Sangani said. “As Alation is a founding member, along with Collibra.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere manages and integrates structured, semi-structured, and unstructured data types.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts. Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

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

CIO Business Intelligence

And the other is retrieval augmented generation (RAG) models, where pieces of data from a larger source are vectorized to allow users to “talk” to the data. For example, they can take a thousand-page document, have it ingested by the model, and then ask the model questions about it. For us, it’s all part of data governance.