Data divergence, meaning differences in results generated from old and new versions of data architecture, results from a number of issues in the pipeline. Fortunately, a relatively straightforward method exists for resolving the problem.
AI can become a colleague that enables productivity gains, helps developers extend their talents and abilities, reduces code querying time, and ultimately mitigates risk.