A common trend our customers cite as a top concern is the expected returns on investment (ROI) their project will yield. Ensuring adequate ROI is the same concern for small, medium, and enterprise customers alike, as it can be translated to the overall success metric for the entire project.

When it comes to machine learning projects, factors impacting ROI can relate to the accuracy of the data used to train your algorithms, project ramp up speed, the quality of your data processing operations, and the availability of reliable data.

When it comes to ensuring ROI, amplifying your budget just won’t cut it (and is even frequently unnecessary).