Humans, not algorithms
To help you understand when to use AI, I want to talk about your algorithmic and non-algorithmic attributes. Now, what are those? We tend to assume that everything can be modeled. We assume that everything can be calculated, and thereby conclude that we can solve our problems with enough data and technology. That is true […]
Data management strategy
Let’s talk about data strategy. It’s not really a sexy topic, but it’s absolutely fundamental if you want to succeed in data science. And I don’t want to talk to you about the technology sitting behind your data. I want to talk to you about the soft side of your data. The soft side of […]
