embeddings

SQLServerCentral Article

Forget the Models, Your Data is the Secret Sauce for Generative AI

  • Article

Generative AI holds immense potential for businesses, but its success depends on the quality of your data. High-quality, strategically managed data is essential for building trustworthy, unique, and competitive AI applications. This article explores how AI leverages your data through embeddings, outlines best practices for data management, and emphasizes the importance of responsible AI development. By prioritizing data quality and effective management, you'll position your business to reap the full benefits of Generative AI and drive innovation.

(4)

You rated this post out of 5. Change rating

2024-02-21

2,977 reads

Blogs

In-Person CISA Training – April 13-16, 2026

By

I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...

EightKB 2026

By

EightKB is back again for 2026! The biggest online SQL Server internals conference is...

The FinOps Lifecycle: From Budgeting to Reporting

By

Working in DevOps long enough teaches you two universal truths: That’s exactly why I...

Read the latest Blogs

Forums

VS Code, Unresolved References.

By mjdemaris

Hi all, I just started using VS Code to work with DB projects.  I...

Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

Visit the forum

Question of the Day

Fun with JSON II

I have some data in a table:

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers