Building & Delivering Valuable Intelligent Data Product at Scale
summary
Dsquares builds a big-scale AI product that ingests disparate client datasets across industries and turns them into business-critical outputs for end customers, using an agile methodology, an iterative R&D loop and a versatile Big Data stack to move from product discovery to production. The workflow maps concrete business requirements into technical Big Data specifications, tackles unsolved problems with targeted R&D, and emphasizes value metrics and deployment pipelines so models become reliable, maintainable services rather than one-off research prototypes.
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