Use Cases and Applications: Multimodal in the Wild

Use Cases and Applications: Multimodal in the Wild

Real-world examples of multimodal AI. From automated insurance claims (Photos) to meeting minutes (Audio) and sports analytics (Video).

Use Cases and Applications

1. Insurance Claims (Image)

  • Input: Photos of a car accident.
  • Task: "Estimate damage severity. List damaged parts (Bumper, Headlight). Flag if the photo looks photoshopped."
  • Benefit: Speeds up claim adjustments from days to minutes.

2. Meeting Minutes (Audio)

  • Input: a 1-hour MP3 recording of a Zoom call.
  • Task: "Identify speakers. List action items. What was the sentiment when discussing the budget?"
  • Benefit: Far better than Text-only transcripts because Gemini hears the tone (sarcasm, anger, hesitation).

3. Sports Highlights (Video)

  • Input: Full Soccer match video.
  • Task: "Give me the timestamps of every Goal and Red Card."
  • Benefit: Automating highlight reel creation.

4. E-commerce tagging

  • Input: Product catalog images.
  • Task: "Generate JSON tags: Color, Style, Material, Occasion."

Summary

Multimodality allows AI to enter the physical world. It processes sensory data (sight/sound) just as easily as text.

Module 7 Complete! You can now see and hear with AI. In Module 8, we connect AI to your data: RAG with Gemini.

Subscribe to our newsletter

Get the latest posts delivered right to your inbox.

Subscribe on LinkedIn