AI and API, made for each other
summary
Claim: AI can unlock roughly $1 trillion in savings for US financial services and enable two-minute instant loan flows. Practical path: build models for OCR, document classification and entity extraction, package them as APIs (examples: Doc AI / Form Recognizer, PredictionIO, BigML, Alexa skill, Anaconda, Indica), and run them on GPU/parallel infrastructure. Result: document automation reduces weeks of manual work; deployment cycles move from months toward days, while teams focus on cross-skilling for scalable production.
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chapters (9)
- 0:00AI and API synergy
- 2:16Speaker's journey in India
- 4:04AI in finance expectations
- 7:35AI challenges and scalability
- 12:16APIs for AI deployment
- 17:10AI data infrastructure evolution
- 20:42Building AI models with APIs
- 23:32Document processing with AI
- 26:21Q&A
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