Let go of ‘move fast and break things’ — I’ve heard ‘move fast and break things’ for over a decade. This phrase is a pseudo-rallying call in the tech community. Creating digital processes, systems, products and platforms quickly and figuring out that they don’t work has become a badge of honor. The prevailing standard operating theory is that if…

The humanity-first movement is here and staying awhile — I’m loving this critical conversation around AI right now. People from the media to data practitioners are questioning the value of AI-dependent tech like ChatGPT, Jasper AI and every other AI-generated app. The concern over the tech industry’s direction and how it aligns with communities and cultures comes up often…

3 tips for computing and data savvy instructors — I’ve graded about 40,000 assignments in 20ish years of teaching. I can tell you two things: (1) there will be learners who will look for the shortest path in completing their assignments and (2) instructors are the original content creators because the question dies as soon as its solution is…

Artificial Intelligence (AI) has once again this year served as the go-to umbrella term for anything computational, including but not limited to: algorithms, data science, data analytics, machine learning, deep learning, large language models, technology and automated decision systems. While using the term AI is a bugaboo for me, I…

I’ve been thinking about what we’ve been subjected to in tech this year. While the prevailing stance is that tech as ‘doing great things’, there has been a steady but loud crowd who are raising insightful ethical, social and moral concerns of why, what and how the tech is tech-ing. …

Let’s stop calling it data science, it’s the data industry — I’ve been “in” the data science space since 2015. The data industry has seen multiple evolutions over the past 7–8 years. Nevertheless, the most frequent question remains: what is data science? Many data professionals (that’s data educators, scholars, practitioners and leaders) have provided definitions and explanations of data science. Each…

A quick tutorial of pandas profiling in Google Colaboratory — The word is getting out — data is subjective. So as we’re taken off our rose-colored glasses, we’re picking up the magnifying glass to screen data and datasets, data processing and data insights more carefully. The next hurdle becomes how to assess the the quality of your data and datasets…

The 3 categories data professionals need to know — Much of the transatlantic discourse around data use and applications is concentrated on data privacy concerns. And rightfully so: digital civil rights, personal data privacy, consumer rights, and other digital missteps have grabbed our attention given the recent parade of large-scale data breaches of people’s sensitive information by well-known and…

The things you know, the things you don’t and what’s coming next — The internet is in its teenage years. Tech historians pinpoint 1969 as the first time there was an internet — although it was called ARPAnet. It wasn’t until about 1983 that ARPAnet shifted to what we know now as TCP/IP protocols. As a brief recap, TCP/IP stands for Transmission Control…