Data Science

When to start

Machine Learning & AI: When to Start?

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When to start using machine learning in your business is not a hypothetical question; it’s a question you must answer today. Not because I say so, but because your competitors are working on their answers as you are reading this. So here are a few thought starters to help you explore your machine learning investment strategy.

Brain Chip

AI: 5 Things Every CEO Should Know

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Machine learning, AI, cognitive computing, natural language understanding, image recognition, pattern matching, autonomous devices – these are just a few of 2017’s loosely defined catchall phrases. But in practice, they each refer to a significant field of study that is guaranteed to have an impact on the way people live and how business is done. So here are five things that you, as the leader of an organization that is singularly focused on creating shareholder value (however you define it), need to know ...

Ratings Are Yesterday, Data Is Tomorrow

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The TV business was once ruled by overnight ratings. Those metrics are becoming less and less meaningful in a world of mobile-first consumers. Online networks such as Netflix and Amazon don’t want or need third-party ratings. They know exactly what is being consumed, by whom, and when. Delivery and analytics are their core competencies. Additionally, Netflix and Amazon own their customer billing relationships, and whoever owns the customer usually wins.