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Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in control, according to the data warehousing giant.
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CNET on MSNHow to Use AI in Microsoft Excel SpreadsheetsI discovered artificial intelligence tool GPT Excel in my quest to cut down on all the busywork it takes to create and update ...
Available on Snowflake Marketplace, ThoughtSpot delivers agentic platform capabilities combined with Snowflake Cortex AI, empowering every customer to build intelligent apps and get actionable ...
A step-by-step guide to deploying, configuring, and testing a multi-AZ, multi-region SQL Server FCI in the Azure cloud, ...
Microsoft's new Windows 11 backup prompt, intended as a helpful reminder, may instead disrupt critical workflows by ...
Microsoft changed the way the Entra Connect Connect Sync agent authenticates to Entra ID. These changes affect attacker ...
Introduction Modern applications are increasingly powered by large language models (LLMs) that don’t just generate text—they can call live APIs, query databases, and even trigger automated workflows.
Attackers are increasingly abusing sanctioned tools to subvert automated defenses. Tracking your Windows fleet’s PowerShell ...
This will allow you to run the generative AI models of your choice with your own data. SQL Server 2025 enables zero-ETL (extract, transform, and load), real-time analytics through mirroring in ...
Despite graduating from India’s top institutions, many students fall short of industry expectations due to a growing skills ...
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