Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### Slide Deck Description: This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detection—specifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.

1. Patna/Surat/Bangalore
MuleSoft Meetup
Understanding Traditional AI with Custom
Vision & MuleSoft

2. AGENDA
● What is AI?
● Traditional AI vs Generative AI
● Azure Custom Vision – Create & Train model
● Use Case – Customer Specific Ads Display
● Demo
● Q & A

3. Organizers

4. Safe Harbour Statement
● Both the speaker and the host are organizing this meet-up in individual capacity only. We are
not representing our companies here.
● This presentation is strictly for learning purposes only. Organizer/Presenter do not hold any
responsibility that same solution will work for your business requirements.
● This presentation is not meant for any promotional activities.

5. A recording of this meetup will be uploaded to events page within 24 hours.
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6. Speaker
● MuleSoft Meetup Speaker
● Total 10+ years of integration experience (5+
in MuleSoft)
● Certified MuleSoft Developer and Architect
Atul Anand
NTT Data
Digital Solution Architect Director
www.linkedin.com/in/atul-anand-1ab842235

7. What is AI ?

8. Traditional AI vs Generative AI
• Traditional/Conventional AI analyzes data and provide
predictions based on what it sees.
• Generative AI uses the same data to generate
something entirely new like a new image, poem, story etc.
Chatbots, Language translation are few applications of
Generative AI.

9. Azure Custom Vision – Create & Train Model
• Provides a user-friendly UI to upload images, tag images
• Train the model
• Publish the model
• Provide predictions by trained model

10. Use Case – Customer Specific Ads Display

11. Use Case – Customer Specific Ads Display

12. Demo

13. Thank You