Building a better AI data engine -- Visual Studio Magazine

AI practitioners regularly face a few common challenges: too much time spent building and maintaining tools and infrastructure, siloed AI development efforts, and fragmented processes to evaluate quality. We believe that designing a workflow that optimizes for automation and iteration can lead to more accurate data models, faster implementation and up to 70% cost savings.