It's put up or shut up time for Data Science teams. When the business depends on our work for revenue growth, success is expected. Failure is fatal.
Data Engineering was a great start but supporting an experimental Data Science process requires the role to evolve.
Zillow's Data Science failures were apparent. Most businesses struggling with Data Science are not. Zillow took the bold step of throwing their Data…
We're going through a layoff cycle that will accelerate in the coming months. Some think this will be like the Dot Com bust, but I see planning that's…
Full disclosure: I have a hard sciences background. I am not a hard sciences researcher. I have no PhD and do not publish research which adds to the…
Businesses are used to paying more than you think for Data Science consultants and freelancers. However, you must know how to price and justify your…
Leadership is a rewarding track that few Data Scientists consider seriously. Being successful requires us to adopt an unfamiliar capability set. We must…
This is a living document with a comprehensive list of AI Strategy KPIs. It will be updated regularly.
In the introduction to the series, I must explain the limitations of Causal ML as well as a basic applied framework. Causal ML is not perfect but it is…
Career paths for Data Scientists are like Big Foot. Some people claim to have seen it but most of us aren't sure they actually exist. Let's talk about…
I talk about connecting business metrics to model metrics. Benchmarks are a good framework for achieving that. However, you have to avoid the gaps that…
Part 1 covers creating job descriptions and screening resumes. The change in focus from skills to capabilities helps me hire faster and improve employee…