What’s Holding Up Progress in Machine Learning and AI?

While many companies are making some gains by putting machine learning (ML) and AI into production, they’d make more by preventing data management barriers from getting in the way. This article highlights how data management and other challenges impact ML and AI progress. Read the article to explore how issues of transparency, traceability and data flow hinder the operationalizing of machine learning and AI applications and what to do about it.