This is Version 2 of my AI Data Assistant, and it’s a big leap forward. In this demo, I show how the assistant can take multiple types of inputs (not just one format) and turn them into meaningful, usable insights. This is where AI starts becoming a real data partner, not just a tool. We’re moving beyond dashboards… into conversations with data. 💡 In this video:
- Using different input types (text, structured data, and more)
- How the assistant interprets and transforms inputs
- Real examples of turning raw data into insights instantly
- What this means for the future of data teams
If you’re working with data, AI, or platforms like Microsoft Fabric or SQL Server, this is where things are heading. 🚀 I’m building this as part of my journey to create next-gen data solutions. Follow along if you want to see how AI is reshaping data architecture in real-world scenarios.
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