Data masking and anonymization solutions are used by organizations to safeguard sensitive data by removing personal identifiers, without compromising the usefulness of the data. As regulatory ...

When you run sp_BlitzIndex on a database/schema/table that actually has a name of nvarchar(128), it blows up at the debug step "Inserting data into #ForeignKeys". I found this was because one of the ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Dynamic Holding, a leading producer of automotive printed circuit boards (PCBs), is gearing up for a surge in artificial intelligence (AI) computing demand from application-specific integrated circuit ...

The shift from passive to proactive AI is underway — and it's moving faster than most enterprises can adapt. In fact, Gartner projects that at least 15% of work decisions will be made autonomously by ...

Abstract: This paper introduces a self-supervised training method for power system state estimation, utilizing dynamic data masking based on node importance indicators. The approach dynamically ...

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Google has released a Model Context Protocol (MCP) Server for its Data Commons platform. The MCP tool allows developers and AI systems access to public datasets via natural language. The Data Commons ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...