Category: Business, artificial-intelligence

by The U.S. economy was in the early phases of a growth spurt that would continue for years.

By the end of 2019, quality at speed had graduated from buzzword to business as usual at most organizations.

The organizations in the first group suddenly needed to build, test, and release applications at the speed of a startup — but with the added burden of legacy systems, complex application landscapes, and intense regulatory scrutiny.

Speed gets replaced by the other corner of the classic cost-quality-speed triangle, making the new mantra “quality at cost.”

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