August 15, 2021
A company’s transition to AI is incredibly hard. As non-tech companies look for ways to evolve their existing teams and software infrastructure to support machine learning, they often make a common mistake: the “just a binary” machine learning (ML) antipattern. This approach to deploying models considers the ML model as an isolated binary inside the existing infrastructure. Although seemingly reasonable, the antipattern is fraught with hidden dangers.