APIs: ROI from artificial intelligence
summary
Claims a clear path from models to revenue by shipping ML as real-time REST APIs that feed websites and services; shows a working recommendation engine used across 4,000 B2B customers and a fraud-ID classifier that anonymizes low-confidence cases to S3 for human-in-the-loop retraining. Describes tooling: Dataiku end-to-end studio, public API, packaged models, continuous drift monitoring, and deployment options including Kubernetes / EKS deployment, with results retrained automatically and served at scale.
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chapters (10)
- 0:00Introduction to AI ROI
- 0:57Data-driven products
- 3:05From analytics to action
- 4:41The role of APIs
- 6:48Productization workflow
- 8:21Collaboration and tools
- 10:03Real-world case studies
- 12:58Deployment architectures
- 14:23Software demonstration
- 17:04Q&A and conclusion
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