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The AI revolution is here, and it promises to be as transformative as the Industrial Revolution. But as companies rush to build intelligent applications, they face a critical challenge: how to innovate without losing control over their most valuable asset—their data?

The biggest roadblock for many enterprises is delivering AI securely, scalably, and compliantly. A recent study found that 70% of executives believe they need a platform that gives them full control over their data and AI.

This is where the paradigm shifts. The future isn’t just about AI; it’s about Sovereign AI.

It’s a new approach centered on one key principle: “rather than taking the data to the AI, you bring the AI to the data”.

Imagine an integrated platform where you can:

Securely blend structured and unstructured data for AI use.
Use a low-code/no-code “AI Factory” to build and deploy pilot applications in days, not months or years.
Maintain complete control in a hybrid environment, running workloads anywhere from on-premise to the cloud.

Build on the trusted and dominant foundation of Postgres, which is already the starting point for 57% of new AI projects.
This is how businesses can innovate responsibly, ensuring their data, system design, and AI efficacy are fair and bias-free. It’s no longer a choice between innovation and security.

How is your organization approaching data sovereignty in your AI strategy?

▬▬▬▬▬▬ C H A P T E R S ▬▬▬▬▬▬
(0:00) Introduction: A Deep Dive into Sovereign AI & PostgreSQL
(1:41) The Foundational Claim: “Postgres Has Won”
(3:13) EDB’s Strategic Shift: The Sovereign Data & AI Platform
(5:10) The Core Problem: Secure & Compliant AI Delivery
(5:34) Pillar 1: Why Hybrid Capability is Non-Negotiable
(6:26) Pillar 2: Data Gravity & Keeping AI Local
(7:27) Pillar 3: The No-Code/Low-Code AI Factory
(8:27) Pillar 4: The Mandate for Full Data & AI Sovereignty
(10:30) How it Works: A 5-Step Walkthrough of the PGAI Platform
(10:40) Step 1: Preparing Diverse Data for AI
(11:55) Step 2: Securely Building & Deploying AI Applications
(13:30) Step 4: Putting Sovereign AI into Production
(14:54) Step 5: The Critical Role of AI Observability
(15:58) Ecosystem View: Red Hat on Open Source & Enterprise AI
(17:40) Ecosystem View: Supermicro on Optimized Hardware
(19:07) Ecosystem View: The Crucial Legal & Ethical Angle
(20:23) Market Dynamics: The Great Database Consolidation
(22:30) How PGAI Addresses Technical & Governance Challenges
(24:20) Developer Experience: From Low-Code to Full-Code Flexibility
(25:50) What the Demo Shows: The 5 Key Benefits
(27:18) Conclusion: Bringing AI to the Data, Sovereignly
(28:07) A Question For You: What Are Your AI Roadblocks?

▬▬▬▬▬▬ Check out! ▬▬▬▬▬▬

💻 Explore my Digital Hub
🔗 https://bit.ly/m/AlexRosa

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🔗 https://www.linkedin.com/in/alexrosatxus/

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