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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Writing SQL queries requires not just remembering the SQL syntax rules, but also knowledge of the tables metadata, which is data about table schemas, relationships among the tables, and possible column values. Generative AI models can translate natural language questions into valid SQL queries, a capability known as text-to-SQL generation.

Metadata 105
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Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

We will explore Icebergs concurrency model, examine common conflict scenarios, and provide practical implementation patterns of both automatic retry mechanisms and situations requiring custom conflict resolution logic for building resilient data pipelines. Generate new metadata files. Commit the metadata files to the catalog.

Snapshot 137
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Proposals for model vulnerability and security

O'Reilly on Data

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 278
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RAG Powered Document QnA & Semantic Caching with Gemini Pro

Analytics Vidhya

Introduction With the advent of RAG (Retrieval Augmented Generation) and Large Language Models (LLMs), knowledge-intensive tasks like Document Question Answering, have become a lot more efficient and robust without the immediate need to fine-tune a cost-expensive LLM to solve downstream tasks.

Modeling 178
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5 Benefits intelligent document processing brings to content management

CIO Business Intelligence

As explained in a previous post , with the advent of AI-based tools and intelligent document processing (IDP) systems, ECM tools can now go further by automating many processes that were once completely manual. That relieves users from having to fill out such fields themselves to classify documents, which they often don’t do well, if at all.

Insurance 116
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Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

AWS Big Data

A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In a real-world scenario, organizations want to make sure their users access only documents they are entitled to access. The following diagram depicts the solution architecture.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Content includes reports, documents, articles, presentations, visualizations, video, and audio representations of the insights and knowledge that have been extracted from data. Datasphere provides full-spectrum data governance: metadata management, data catalogs, data privacy, data quality, and data lineage (provenance) tracking.