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Recent Articles by Brian
How should we be innovating in AI? Work backwards from in-shape data? Or start with a vision for how we’ll create value for the customer or organization?
You got the data. Your model rocks. Your analytics are impressive. But, do customers see indispensable decision support….or a metrics toilet?
Today I want to tell you why your ugly, clunky, hard-to-use data/AI product or analytics solution should scare you. But first, you, your boss, your customer, your stakeholder—somebody—has to pass that judgement on it. They probably have, but don’t expect it … Read moreWhy your ugly, clunky, hard-to-use data product or solution should scare you
One trend in analytics and data science I am hearing from the top thought leaders in this space is that (finally!) companies are realizing that the biggest opportunities for data that lay before us is in the pursuit of new … Read moreHow to become unemployed as a data leader
Ethics used to be a hassle. Now it’s not: Introducing Ethicize™, the fully AI-driven cloud-based ethics solution!
License our latest AI automation platform now, and get a free “Ethics Power Boost” for your next analytics or data science solution for just an additional $2.5M! That’s half off the standard price of $5M, but it’s for a limited … Read moreEthics used to be a hassle. Now it’s not: Introducing Ethicize™, the fully AI-driven cloud-based ethics solution!
This is a two-part article focused on “what” to ask users of data science solutions and data products, and how to ask/conduct these types of research sessions. In part one, we will look at the “what,” and part two will … Read more10 Sample Questions to Ask Users of Data Science Solutions to Solicit Needs and Get Problem Clarity
A few years ago when I started DFA, I wrote this article that aggregates many of the studies on failure rates for big data, analytics, and now AI projects. It serves as a reminder that you can keep throwing money … Read moreThink clean data is the blocker to your AI/Data Science initiative? Try people.
Technology-driven projects that do not center around human needs continue to fail at a high rate. Here are the continued numbers to back it up.
There’s a lot of buzz about analytics translators these days. In general, I find the name to be a really poor choice for what effectively is a product management role applied to internal data science or analytics services. But, I … Read moreAnalytics Translators = Data Product Management + Service Design?