ML Scaling Requires Upgraded Data Management Plan

Successful data strategies are built on a foundation of meticulous data management, creating enterprise architectures that "democratize" data access and usage, yielding measurable results from machine learning platforms. The reality, according to an examination of the emerging "AI organization," is that few data-driven organizations are able to deliver on their data strategy. A survey commissioned by Databricks and conducted by MIT Technology Review Insights found that a mere 13 percent of those polled actually achieve measurable business results. MIT Technology Review Insights said it polled 351 CDOs, chief analytics officers as well as CIOs, CTOs and senior technology executives. It also interviewed several other senior technology leaders.