By Dave Kearney, Susan Larson Bouwer, and Anjan Chatterjee Suppose you’re thinking of opening a restaurant. You’ll need to make a lot of smart decisions so that your establishment will achieve success. These choices include location, pricing, and cuisine-all of them will have a significant impact on your ability to…

By Michael Marmor, Dave Kearney, and Anjan Chatterjee When you hire a team to create software for you, the amount of effort put into initial planning is often what determines the project’s ultimate success or failure. An essential yet often overlooked part of that planning is the methodology chosen to…

By Dave Kearney Black and Brown people have an unconscionable number of barriers between them and high paying jobs. In past articles, I’ve talked about many of the hurdles people of color face to attain the skills and education necessary for a good job. …

By Dave Kearney Most of us don’t venture into places we don’t belong. We’re uncomfortable in situations where we aren’t accepted as we are, and we tend to seek out others who look, act, and think as we do. …

By Dave Kearney As we’ve discussed in previous articles, our educational system is facing plenty of challenges — but one that doesn’t get enough attention is literacy and its connection to long-term educational success. Research shows that kids who are not reading by the end of third grade are four…

By Dave Kearney, Keith Worfolk, and Anjan Chatterjee Mark Zuckerberg has said, “If things aren’t breaking, you’re not moving fast enough. People learn by making mistakes.” In some regards, this is a guiding principle for agile solution development and DevOps processes. But moving fast while innovating has its downside as…

By Dave Kearney and Zach Wasilew Imagine you need to travel from New York to Los Angeles. (Forget Covid-19 for a moment and remember how things used to be.) You probably think you’re a credit card transaction away from putting your butt on a plane — maybe even a direct…

By Dave Kearney and Zach Wasilew There are a few essential items you need to solve a problem with machine learning: a straightforward problem to solve, a bunch of data that illustrates the problem, and a human to organize the data to use machine learning to solve the problem. Oh…