“But….all of our models have accuracies above 90%…our system should be working perfectly!” Those were the words spoken by the CEO of a mid-sized manufacturing company. These comments were made during a conversation about their various forecasting models and the poor performance of those models. This CEO had spent about a million dollars over the … Read more Beware the Models
I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success. Most organizations want to jump in a do something ‘cool’ with big data. They want to do a project that brings in new revenue or adds some new / … Read more Big Data Roadmap – A roadmap for success with big data
Imagine you’re the CEO of XYZ Widget company. Your Chief Marketing Officer (CMO), Chief Data Officer (CDO) and Chief Operations Officer (COO) just finished their quarterly presentations and were highlighting the success from the various machine learning projects that have been in the works. After the presentations were complete, you begin to wonder – ‘are … Read more Are your machine learning models good enough?
“When should I use deep learning?” I get asked that question constantly. The answer to this question is both complicated and simplistic at the same time. The answer I usually give us something along the lines of ‘if you a lot of data and an interesting / challenging problem, then you should try out deep … Read more Deep learning – when should it be used?
If you don’t know, I’m a bit of a data nerd. I’ve been writing about big data, data science, machine learning and other ‘new’ stuff for years. I believe in data science and I believe in big data. I’m a fan of machine learning (but think you probably don’t need it) for the majority of … Read more When it comes to big data, think these three words: analyze; contextualize; internalize
A few weeks ago, I spent an afternoon talking to the CEO of a mid-sized services company. He’s interested in ‘big data’ and is interviewing consultants / companies to help his organization ‘take advantage of their data’. In preparation for this meeting, I had spent the previous weeks talking to various managers throughout the company … Read more Data and Culture go hand in hand