About

AI Use Case Hub

AI Use Case Hub turns public enterprise AI deployments across Microsoft, AWS, Google Cloud, Oracle, IBM, Alibaba Cloud into market, sales, and strategy intelligence. It is built on Microsoft Azure AI Foundry from Zurich, and keeps the source evidence close enough to verify.

Tracking 3,890 source-linked enterprise AI deployments across 86 countries and 18 industries.

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Use cases tracked

3,890

Countries covered

86

Industries mapped

18

Cloud providers

6

Microsoft · AWS · Google Cloud · Oracle · IBM · Alibaba Cloud

Explore

What you'll find on the platform

Methodology

How the data is built

1

Collect

Autonomous agents continuously scan public customer stories, blogs, and announcements across Microsoft, AWS, Google Cloud, Oracle, IBM, Alibaba Cloud for documented deployments.

2

Normalize

Each documented deployment is normalized into comparable entities, technologies, maturity signals, and source-linked outcome claims.

3

Classify and score

Deployments are classified across industries, domains, technologies, and providers, then scored for evidence strength and innovativeness so readers can filter and compare them side by side.

This is an independent project focused on making real AI adoption easier to understand and act on. The frontend is built with GitHub Copilot support, and much of the data collection is handled by autonomous agents, so expect occasional imperfections while the dataset and methodology keep improving.

The site is not affiliated with any company or organization. It is maintained solely for educational and informational purposes. Read the full methodology.

Contact

Get in touch

Questions, corrections, source suggestions, and collaboration ideas are welcome. I am always open to inspiration, partnerships, and conversations with people exploring real-world AI adoption, so feel free to reach out.

Follow along

Last updated: 13 June 2026