The Adoption of Machine Learning Will Resemble the Adoption of Databases | by Bryan Offutt | Index Ventures

When this emerging AI arrives, its very ubiquity will hide it. We’ll use its growing smartness for all kinds of humdrum chores, but it will be faceless, unseen.

In little more than a decade, machine learning has moved from a highly specialized technique to something that almost anyone with data and computational power can do. That is to be welcomed — yet it remains essential that the industry can navigate both the proliferation of tools and frameworks in the space and the ethical issues that are becoming

capture the data “exhaust” (anything recorded when customers perform operations in an application, such as clicking buttons and changing values) from existing systems of record (the “single source of truth” for a business function), and build AI on top.