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Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

Flipboard

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex.

AWS 150
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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

Many organizations store their data in structured formats within data warehouses and data lakes. Amazon Bedrock Knowledge Bases offers a feature that lets you connect your RAG workflow to structured data stores. In her free time, she likes to go for long runs along the beach.

AWS 92
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Three essential steps to protecting your data across the hybrid cloud

IBM Journey to AI blog

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

Azure 71
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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

The dataset Our structured dataset can reside in a SQL database, data lake, or data warehouse as long as we have support for SQL. She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and generative AI.

SQL 168
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5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. This is where a reverse ETL process is needed. between 2022 and 2029. Keen to learn more?

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5 Data Governance Mistakes to Avoid

Alation

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. This is where a reverse ETL process is needed. between 2022 and 2029. Keen to learn more?

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Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

The platform’s integration with Azure services ensures a scalable and secure environment for Data Science projects. Azure Synapse Analytics Previously known as Azure SQL Data Warehouse , Azure Synapse Analytics offers a limitless analytics service that combines big data and data warehousing.

Azure 52