The Future of Business: AI, APIs, and Open Standards
summary
Claims that enterprises can turn the avalanche of data into actionable services using APIs, open standards and ML, citing 2.6 quintillion bytes daily, a continuous ML loop, and 40–70% of time on data preparation. Tools and standards named include Swagger/JSON, Kubernetes, REST/JSON/XML, and API types (open, partner, internal, composite). Concrete outcomes reported: a workforce-optimization deployment with a 6 million cost that saved 9.5 million in the first year and integrated projects like 539 orgs for transparency and multi‑agency ambulance incident transfer.
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chapters (11)
- 0:00Introduction
- 0:47Why is it important
- 2:39Challenges
- 5:19Classification
- 8:53Large Language Models
- 10:13Interoperability
- 11:11Advantages of Open Standards
- 13:56API Examples
- 14:25Composite API
- 15:23Protocols
- 17:02API Standards
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