If you're in marketing, AI is a powerful ally.
If you're in data science, marketing is a rich problem set.
Artificial Intelligence (AI) had a breakthrough year in 2016, not only with machine learning, but with public awareness as well. And it's only going to continue. This year, most marketers believe consumers are ready for the technology.
“Artificial Intelligence Roundup,” eMarketer, February 2017
AI IN A NUTSHELL
Artificial intelligence (AI) is the next, logical step in computing: a program that can figure out things for itself. It's a program that can reprogram itself.
The Three Ds of Artificial Intelligence
The shorthand for remembering what's special about AI is that it can detect, deliberate, and develop—all on its own.
Artificial intelligence can discover which elements or attributes in a bunch of data are the most predictive. Even when there is a massive amount of data made up of lots of different kinds of data, AI can identify the most revealing characteristics, figuring out which to pay attention to and which to ignore.
AI can infer rules about the data, from that data, and weigh the most predictive attributes against each other to answer a question or make a recommendation. It can ponder the relevance of each and reach a conclusion.
AI can grow and mature with each iteration. It can alter its opinion about the environment as well as how it evaluates that environment based on new information or the results of experimentation. ...