Proponents of the technology tout its convenience and the idea that you never have to remember your wallet or a password, ever again. While they are technically correct, chipping people invokes a train of thought that quickly descends to the darkest of places.
I was going to write about a specific threat to brand marketing this week. But, considering the recent vicious attacks in London, I want to revisit a thesis about a specific threat from brand marketing.
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.
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 ...
There has never been a reasonable expectation of online privacy, and there never will be. Regardless of what you may have recently heard about joint resolutions or nullifications, nothing has changed.