Categorizing Google’s “101 real-world Gen AI use-cases”

Google Cloud recently published a post titled “101 real-world gen AI use cases from the world’s leading organizations“. As with any list that long, my eyes started to glaze over by the time I reached the 10th bullet point. So I asked an LLM (well, ChatGPT, sorry Google Gemini) to categorize the list by grouping them into the themes that are in play. This was a lot more useful:

  1. Customer Service & Support:
    • ADT: Customer agent for home security setup.
  2. Travel & Hospitality:
    • Alaska Airlines: Personalized travel search experience.
    • IHG Hotels & Resorts: Generative AI chatbot in their app.
    • The Minnesota Division of Driver and Vehicle Services: Translation for non-English speakers.
  3. Retail & E-Commerce:
    • Etsy: AI to improve search recommendations and ads.
    • Target: AI solutions for personalized offers.
    • Victoria’s Secret: AI agents for in-store associate support.
    • Woolworths: Generative AI to improve communications.
  4. Healthcare & Life Sciences:
    • Bayer: Radiology platform for data analysis.
    • DaVita: Transform kidney care with AI.
    • Highmark Health and Freenome: AI for clinical trial planning.
    • Dasa: Faster detection of findings in test results.
  5. Finance & Banking:
    • ING Bank: AI chatbot for improved customer query answers.
    • IntesaSanpaolo, Macquarie Bank, Scotiabank: Gen AI to transform banking operations.
  6. Marketing & Media:
    • Golden State Warriors: AI to improve fan experience content.
    • Los Angeles Rams: AI for content analysis and scouting.
    • Carrefour: AI for dynamic marketing campaigns.
    • Procter & Gamble: Generative AI platform for creative asset creation.
    • WPP: Google Cloud’s gen AI in their marketing system.
  7. Internal Knowledge & Productivity:
    • Cintas: Knowledge center for customer service and sales teams.
    • Uber: AI agents to improve productivity.
    • Box, Typeface, Glean: AI for marketing and financial services.
    • Workday: Vertex Search for data insights.
  8. Education & Research:
    • Pepperdine University: Real-time translation for students and faculty.
    • Mayo Clinic: Accelerated scientific research with data retrieval via Vertex AI.
    • BenchSci: AI for scientists to understand biological connections.
  9. Creative & Design:
    • Canva: Vertex AI for video editing.
    • Paramount: Streamline metadata and video summaries.
  10. Security & Compliance:
    • BBVA: Google SecOps for security threat detection.
    • Pfizer: Aggregating cybersecurity data sources.
    • Palo Alto Networks: AI-driven security operations platform.
  11. Data & Analytics:
    • Spotify: Dataflow for ML podcast previews.
    • AI21 Labs: BigQuery integration with Contextual Answers.
    • MSCI: ML with Vertex AI for climate-related risk insights.

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Author: Arpit Mathur

Arpit Mathur is a Principal Engineer at Comcast Labs where he is currently working on a variety of topics including Machine Learning, Affective Computing, and Blockchain applications. Arpit has also worked extensively on Android and iOS applications, Virtual Reality apps as well as with web technologies like JavaScript, HTML and Ruby on Rails. He also spent a couple of years in the User Experience team as a Creative Technologist.

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