The perfection trap: Why “good enough” AI models deliver value faster (opens in new tab)

In artificial intelligence projects, there is a natural tension between technical rigor and business velocity. Machine learning teams often strive for statistically perfect models built on pristine datasets, a process that can take months or even years. But what if a “good enough” model, deployed quickly, could deliver more business value than a perfect one that arrives too late? This […] The post The perfection trap: Why “good enough” AI models deliver value faster appeared first on GoPractice.