Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...

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A controlled test compared three nearly identical pages: one with strong schema, one with poor schema, and one with none. Only the page with well-implemented schema appeared in an AI Overview and ...

Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. The release is part of ...

Continuous delivery (CD) refers to a software engineering approach where teams produce software in short cycles, ensuring that software can be reliably released at any time. Its main goals are to ...

This example shows how to prevent altering the legacy database schema when creating an XAF application. Sometimes our customers want to connect their XAF applications to legacy databases, but they ...

Abstract: Automated schema matching for multi-source heterogeneous databases can effectively promote data integration and interoperability, enhance data quality, support data migration and ...

Microsoft has confirmed it uses schema markup to help its LLMs (large language models) understand your content. There has been a debate around if AI models and LLMs use schema or structured data, and ...

Database security is crucial to protect the integrity, confidentiality, and availability of data. It builds customer trust, helps comply with regulations, and reduces the risks associated with ...