Dan Woods of Forbes reports, “It’s easy to get caught up in the mystique of machine learning. After all, what’s not to like about the idea of algorithms sucking up and sorting through the data detritus of our companies’ back alleys like a Roomba Sweeper Vac? The reality is a bit more complex. Like any ‘breakthrough’ technology, machine learning involves some forethought and discipline before being let loose in the enterprise. I recently spoke with Bob Tennant, CEO of Recommind, a San Francisco-based unstructured information management and analysis company, seeking a few points of advice about where to use machine learning most effectively.” Read more