Fabric AI Functions move GenAI into pandas and Spark workflows, where teams can classify, extract, summarize, embed, and enrich messy business data inside Microsoft Fabric.
Originally published at https://shai-kr.github.io/data-ninja-ai-lab/blog/2026-05-24-fabric-ai-functions-data-workflows.html
Most enterprise GenAI demos start in the wrong place.
They start with a chat window.
The more useful place is usually earlier: inside the data workflow, before the dashboard, before the semantic model, before the analyst has to clean the same messy text for the tenth time.
That is why Fabric AI Functions are worth paying attention to.
A business data fabric reduces latency by providing an integrated, semantically-rich data layer over fragmented data landscapes.
shopify.engineeringWe fine-tuned Qwen3-32B into a tool-calling agent that generates Flow automations: 2.2x faster, 68% cheaper, with a weekly…
shopify.engineering
Most AI products today are impressive in demos. But the moment they hit production: workflows...
OpenAI now has all the pieces in place for AI-driven commerce, establishing ChatGPT as a place customers go to buy and retailers…
See how manufacturing, healthcare, finance, retail, logistics, and DevOps teams deploy agentic AI systems—and the infrastructure…
How enterprises move AI from pilot projects to core operations with governance and leadership frameworks that need to turn…
