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My Use Cases for AI

Source: AI strategy - Cloud Adoption Framework | Microsoft Learn

How to identify AI use cases:

  • Automation opportunities: find repetitive tasks, data heavy operations, tasks with high error rates
  • Ask users how they could be more satisfied
  • Assess organization and industry with survey to find challenges and inefficiencies
  • Set AI performance targets

Industry Enterprise use cases from Microsoft

Section titled “Industry Enterprise use cases from Microsoft”

From azure-openai-samples/quickstart at main · Azure/azure-openai-samples · GitHub

  • Summarize, classify, process text
  • Discussion (chat)
  • Analysis
    • Knowledge Management
    • Document retrieval and citing
    • Business intelligence & analytics
      • Summarizing data
    • Legal and compliance
  • Writing
    • Programming
    • Text
    • Review and editing
    • Report writing
  • Integration of processes
  • Image, Video, Media analysis
    • Content creation
    • Accessibility
    • Classification
  • Business service
    • Personalized service
    • Data processing
      • Calculations
    • Financial, cost management
    • Training
    • Education
    • Business support: administration, marketing, communications
    • Digital business, commerce
    • Security and privacy
    • Legal compliance
  • Check my calendar for next couple free afternoon, evenings and save them
  • Open browser to site, open app and perform actions
  • Reply with a quick email
  • Check messages on platforms
  • Support scripting and occasional non-advanced programming:
    • E.g. to craft/analyze Kubernetes manifests to host apps on AKS, DevOps pipelines, transcode docker-compose to Kubernetes resources
  • Cross language software development
  • Completion/comments for code, configuration files, documentation, and data sets
  • Common patterns, API, and code option exploration
  • Code creation from prompts and changes (ex. test cases, upgrades, version changes), translation