Thoughtworks — AI Adoption
Source
Thoughtworks: AI Adoption — Thoughtworks articles and practices on AI adoption.
TL;DR
Thoughtworks focuses on the practices of AI development and adoption: from use case validation to production-ready solutions. The emphasis is on engineering, data quality, and sustainable practices.
Key ideas
- Validation before development: verifying the feasibility and value of a use case before large-scale investment.
- Data-first: data quality and availability are a critical factor; experiments without data are doomed.
- Production-ready: moving from prototype to production requires monitoring, governance, and reproducibility.
Connection to the framework
| Thoughtworks idea | AI Conveyor element |
|---|---|
| Use case validation | Validating an AI Use Case, Stage Gate Model |
| Data quality | Data governance (DWH), AI Initiative Data Model |
| From prototype to production | Building an AI Prototype, Deploying an AI Solution, Model Risk Management |