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Blog Posts by Bill Franks

I’ve written in the past about how fuzzy the line between “good” and “evil” data science and artificial intelligence (AI) can be. Ethical issues arise with AI that are neither…

I recently hosted a private event put on by Amazon Web Services for CDOs and CAOs. I interviewed Jeff Carter, a former Teradata executive and colleague who has been at…

We hear all the time about business sponsors who don’t seem to get analytics and who are difficult to work with. There are some great business sponsors out there too,…

While statistical significance and other technical measures of performance are commonly assessed and reported, such measures aren’t enough for an analysis and associated presentation to be deemed a success. It…

Everyone is familiar with the age-old adage that if you must explain a joke after you tell it, then the joke will be a flop. The same principle is true…
It is natural to get excited about the prospect of building and deploying an interesting and high impact new data science process. Unfortunately, you have to also put effort into…
The most important factor in determining if a given data science project will succeed or fail in a business environment is not the quality of the results. In an ideal…

We are all painfully aware that there is plenty of uncertainty in the data we analyze and in the results that we generate through data science processes. Most of the…

As data science processes continue to become operationalized and embedded within business processes, the importance of governing those processes continues to rise. While governance has been a major focus for…