Below are ten 2022 predictions for data product leaders and organizations trying to leverage ML and analytics in their software, tools, apps, and services. From the lens of a consulting product designer. Yea, you head that one right. If that PhD in physics, statistics, math or engineering in you is already making you cringe, you may depart this … Read more
Everybody loves a Top 10 list at the end of the year! How about one with pretty lousy data to back it up? 😉 Analytics on analytics here ladies and gentlemen! Since I know this audience will probably be asking what the data is behind the ranking, it’s pretty simple: it’s the number of downloads … Read more
A link list of articles and resources on building data products, and particularly the mind shift involved in approaching data products as just that: products, not projects. Is something missing here? Shoot me an email and let me know. From Data to Product (Newsletter, Eric Weber) Run Your Data Team as a Product Team (YouTube) feat. … Read more
As a designer, I used to say “user-centered”—a lot. It’s terminology we now hear from non-designers now, people like many of you. That’s a good thing. But, I want you and your teams to think bigger. For me, that “user-centered” descriptor is missing something about design, and particularly so if you are working on ML/AI systems. … Read more
Ok, let’s dive into another reader question. This time from Loris via LinkedIn originally: Hi Brian, I hope you are well and don’t mind me reaching out directly. Human-centered design resonates with me and my experience with data so far. You have been an inspiration for me over the past few months – thank you! … Read more
Are you a leader in charge of creating innovative ML and analytics solutions within a very large enterprise organization? Getting the “makers” of the solutions talking to real end-users can be extremely difficult. Here’s how to navigate the gatekeepers and bureaucracy so that the data products you spend so much time and money building actually are useful, usable, and valuable.