The Art and Economics of Enterprise R&D Decision Making
summary
Huawei frames R&D as two decision types — what to build and how to build — and claims improving decisions at scale could yield tens to hundreds of millions in value for a 175,000‑person company with 75,000 engineers and ~47B revenue in 2014 and 15–20% growth. The team prototypes an intelligent adaptive risk‑driven development pipeline combining a workflow framework, big data platform, evidence‑based expert system, test‑failure frequency analysis, module hit tracing, intermittent test detection, automated test selection and a lab‑as‑a‑service layer; work is ongoing.
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chapters (14)
- 0:00Introduction
- 2:00Huawei
- 3:12Intelligentization
- 4:11Decision Making
- 6:31Bounded rationality
- 7:24Economics of Decision Making
- 9:21Types of RD Decision Making
- 11:44Delivery Pipeline
- 15:41Test Failure
- 20:56Driven Pipeline
- 21:52Human Intelligence
- 22:49Technology Frameworks
- 24:24Workflow Frameworks
- 25:34Conclusions
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