Now on-demand:
There’s been a widening gap between BI and Data Science analytics developing. Most of this is due to two forces. First – the well established and mission critical analytics that the BI world has dominated and continues to enhance. Second – the rocket ship revolution coming from data science analytics offering us insights never before available. What’s happening? Massive innovations in both camps, but not nearly enough work has been done to bring these camps together. An AtScale semantic layer can serve as a “feature hub,” where data scientists, business SMEs, and data teams can collaborate on designing new features and maintaining the data pipelines that support production models. AtScale AI-Link provides python connectivity between the semantic layer, notebooks, and automl platforms. Beyond feature management, AtScale can help data science teams publish AI-generated insights (e.g. predictions) to a broader audience but making results accessible in existing dashboards and reporting platforms.