The future is now:cognitive computing throughout the enterprise today

Machine learning--Machine learning is arguably the most commonly found manifestation of cognitive computing, so it's not surprising it's available in so many forms. There is both supervised and unsupervised machine learning (the former of which requires human intervention and the latter of which learns on its own, according to Nanduri), as well as that centered upon automation and that centered upon recommendations. "When we think about how we're going to build machine learning into a workflow, we try to think hard about whether this is a recommendation problem or an automation problem," Eliot Knudsen, data science lead at Tamr (tamr.com), "It's a little subtle but tends to be important in framing the work we do." Deep learning--Deep learning and neural network techniques bear similarity to machine learning ones yet involve a degree of inferences and learning by examples--rather than in accordance with training based on predefined rules--that creates a profound difference.