AI

SQLServerCentral Article

Evolving Role of Data Professionals in Artificial Intelligence Era

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Generative Al tools like Gemini and GPT promise to automate and augment knowledge-based work. Data professionals must adapt to this transformation by acquiring new skills and playing a central role in their organization's AI-driven future. Data preparation, curation, ethical sourcing and labeling, and collecting user feedback become crucial as high-quality data is essential for effective LLM based application.

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2024-03-04

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SQLServerCentral Article

Writing SQL Server code with AI using GitHub Copilot

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Introduction In this article, we will see how to work with GitHub Copilot. GitHub copilot is an interesting plug-in that generates code using AI. The technology is from Microsoft and OpenAI. We will show how to install Copilot, and how to generate SQL Server code (T-SQL) using Copilot. First, we will answer some FAQs about Copilot […]

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2024-02-12

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SQLServerCentral Article

How to create a SQL Server presentation in 5 minutes using AI

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Introduction This SQLServerCentral article shows how to create a SQL Server presentation in 5 minutes using AI. AI is revolutionizing the world as it continues to evolve. In this article, we aim to answer the question: Is it truly possible to create a high-quality presentation using AI in such a short amount of time? Is […]

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2023-12-27 (first published: )

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SQLServerCentral Article

Bing vs Bard (Chatbot wars)

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Introduction about Bing vs Bard You heard it well Chatbot wars, the war between Bing vs Bard. Ladies and gentlemen, in the Google corner we have the challenger, Bard! And in the Microsoft corner, we have a powerful AI-based in ChatGPT 4, the stupendous, the magnificent…Bing! (applause). These great chatbots will demonstrate their power in […]

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2023-08-14

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Question of the Day

The Funny SELECTs

What is returned from this query?

SELECT
  ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate > '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2000
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate > '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2001
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate > '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2002;

See possible answers