Machine Learning: Where It All Comes Together – IBM Analytics – Medium

Too often in the past, data science has been a siloed activity that centered around data exploration and insight without truly crossing departmental lines. Those limitations have kept data science from becoming a strategic, enterprise-wide initiative for supporting multiple data science and machine learning projects. Technologies have now matured and become cost-effective enough that an enterprise-class, data science platform can support large scale production requirements. In response, enterprises are directing data science activities across multiple lines of business, using a set of standardized approaches that embrace openness, extensibility, and adaptability. We're now offering Data Science Experience version 1.2, which continues to address all three recommendations above.