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Bringing an AI Product to Market

O'Reilly Media - Ideas

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Stream processing requires significant engineering effort, and it’s important to account for that effort at the beginning of development. Data Quality and Standardization. Agreeing on metrics.

Marketing 145
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Your technology architecture and engineering organization should coevolve as your startup grows

Abhishek Tiwari

Skills++: Induct specialised Frontend, Backend & QA engineers, Technical Leadership 21-30 Engineers Focus: Building quality in products and continue to innovate while proactively planning team structure, incentives, and culture. Introduce site-reliability engineering best-practices (SLI/SLOs).