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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

LLMs could automate the extraction and summarization of key information from these documents, enabling analysts to query the LLM and receive reliable summaries. This would allow analysts to process the documents to develop investment recommendations faster and more efficiently. This is unstructured data augmentation to the LLM.

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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. Grant the user role permissions for sensitive information and compliance policies.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

What we hear from customers Organizations are adopting enterprise-wide data discovery and governance solutions like Amazon DataZone to unlock the value from petabytes, and even exabytes, of data spread across multiple departments, services, on-premises databases, and third-party sources (such as partner solutions and public datasets).

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Unstructured data management and governance using AWS AI/ML and analytics services

AWS Big Data

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. It can be difficult to integrate unstructured data with structured data from existing information systems.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. For example, Amazon DynamoDB provides a feature for streaming CDC data to Amazon DynamoDB Streams or Kinesis Data Streams.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

It must be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes. Data-related decisions, processes, and controls subject to data governance must be auditable. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

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Create a modern data platform using the Data Build Tool (dbt) in the AWS Cloud

AWS Big Data

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021.