by Christopher S Penn | Sep 20, 2021 | AI, Artificial Intelligence, Data Science, Machine Learning, Marketing, Marketing Data Science, Marketing Technology
I am bullish on AI creating content at scale. I am bearish on AI creating GREAT content at scale – or at all. Why? It comes down to limits of training data, fundamentally. All machine learning models, from the most basic to the most sophisticated, need something...
by Christopher S Penn | Sep 7, 2021 | Marketing Data Science, Data, Data Science, Data Visualization, Marketing, Marketing Technology, Strategy
A few years ago, there was a big movement called Quantified Self, in which we would apply principles of analytics and data science to our lives with fitness trackers and other apps that would help quantify how we were living. For a variety of reasons – mainly...
by Christopher S Penn | Jul 7, 2021 | Marketing Data Science, Data Science, Marketing, Statistics
How do you know whether something is a trend or not? First, we need to define a trend. A trend is: a general direction in which something is developing or changing Second, we should mathematically define and be able to detect a trend. Trend analysis (and any kind of...
by Christopher S Penn | Feb 22, 2021 | Marketing Data Science, Data Science, IBM, Marketing, Watson
When it comes to learning data science, one of the challenges we face is just how seemingly daunting the field is to learn. There are so many techniques, tactics, and strategies that it’s difficult to know where to start. Learning something new always begins...
by Christopher S Penn | Nov 24, 2020 | Marketing Data Science, Data Science, Marketing, Marketing Technology, Social media, Social networks
Iain asks, “Fact or fiction. Using third party schedulers for social media posts get a kick shins as they haven’t come from the native platform tools?” Some testing has been done on this front, but none of the tests, from what I’ve read, have...