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Bringing an AI Product to Market

O'Reilly Media - Ideas

Again, it’s important to listen to data scientists, data engineers, software developers, and design team members when deciding on the MVP. Data Quality and Standardization. Consider how time impacts your data assets, as well as seasonal effects and other biases. If the product isn’t “viable” (i.e.,

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).