ML and Data Analytics Use Cases with AWS Services in Startup

ML and Data Analytics Use Cases with AWS Services in Startup
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This presentation showcases a startup utilizing Machine Learning (ML) and Data Analytics along with key AWS services. It highlights business outcomes, team expertise, architecture diagrams, innovation, and business support. The slides delve into the startup's use cases, key numbers, business model, and sellability factors, emphasizing how the solution meets real business needs and potential customer demands.

  • Startup
  • ML
  • Data Analytics
  • AWS Services
  • Innovation

Uploaded on Mar 20, 2025 | 0 Views


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Presentation Transcript


  1. Slide 1 Company Logo & intro with notes describing your startup briefly along with ML and data analytics use case, business outcome and key AWS services used.

  2. Slide 2 - Overview Company background, funding stage, key numbers

  3. Slide 3 Business Model Key numbers with quotes if possible

  4. Slide 4 - Team With pictures and brief bios, highlighting ML / Data Analytics expertise where relevant

  5. Slide 5 Your use of ML Where you are? What AWS AI/ML services do you use? What is use case?

  6. Slide 6 Your use of Data Analytics Where you are? What AWS Data Analytics services do you use? What is use case?

  7. Slide 7 Architecture diagram showing how you use key AWS AI/ML services

  8. Slide 8 Why do you think you are innovative? Let us know if there is something really innovative in your Solution. Maybe innovation is somewhere else business model, approach, new perspective let us know!

  9. Slide 9 Why do you think you are business supportive? How the solution responds on the real business needs? Is the business need well defined, painful, represents large group of potential customers or you solved artificial problems?

  10. Slide 10 Why do you think you are sellable? Business perspective to check if there is a potential customer who wants to buy your solution and will guarantee the scale. Is the solution highly demanding and the business model is supportive for its sales? Or there is no customer for the solution and the business model doesn t guarantee sales success.

  11. Slide 11 Why do you think you are complex enough? Complexity could be good or toxic. Let us know If there is a value from the fact that the solution is complex and well designed, or in the opposite way, if it is very simple but well-functioning.

  12. Slide 12 Do you change the world? Should we really explain?

  13. Anything you need to add This slide is for you

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