A team of data scientists and engineers painstakingly crafts an AI solution, pouring countless hours into perfecting the algorithms and optimizing the codebase.
But when the time comes to deploy the solution, it falls flat, failing to deliver the anticipated impact. What went wrong?
Unfortunately, this is a common occurrence in AI project development. Most AI initiatives…
