Embedded analytics to feel widest impact of machine learning projects

Tony Baer: It's broad in that, in many cases, businesses and consumers are already using services that have machine learning embedded in them -- they just don't realize it. But in terms of how many companies have data scientists on board, ones that are writing or using machine learning algorithms and doing their own internal development, that will still be limited. That's even though there are libraries available for machine learning, so you don't have to just write them from scratch anymore. There are also emerging collaboration tools that are designed to connect the data scientist to the data engineer or the business. You're seeing an upswing of tooling, but largely, the appeal of that is going to be limited to those organizations that have very deep resources -- the same types of organizations, really, who were the pioneers with Hadoop.