by Christopher S Penn | Sep 23, 2021 | Buddhism, Awakening, Data, Data Science, Marketing, Marketing Data Science
Kate asks, “Why do you have such a fixation on data?” This is a more interesting, philosophical question than it might first appear. Yes, I emphasize data a great deal in my work; my company, Trust Insights, is rooted in data-driven marketing. But where...
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 | May 4, 2021 | AI, Artificial Intelligence, Data Science, IBM, Machine Learning, Marketing, Marketing Data Science
I recently had the opportunity to sit down with Lauren Frazier from IBM to discuss how we go about building trusted AI systems in a fireside chat livestream. We covered a ton of ground. Can’t see anything? Watch it on YouTube here. What is Fair? Fairness is a...
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...