Machine Learning Has a Data Integration Problem: The Need for Self-Service
#ICYDK: When we built the Iris Integration Assistant, an AI-powered recommendation engine, it was SnapLogic’s first foray into machine learning (ML). While the experience left us with many useful insights, one stood out above the rest: machine learning, we discovered, is full of data integration challenges.
Of course, going into the process, we understood that developing an ML model entails integrating data. But we didn’t appreciate how severe and widespread the integration challenges would be. https://goo.gl/ARru5Z
