Data is Risky Business: I Want My ChatGPT
The world is a-buzz with articles about ChatGPT and other Large Learning Models such as Google’s Bard. The tone and…
Big Data Columns
Big Data Columns
Data’s Gender Gap: What Data Goes Into the Products We Use?
What is data without research? And how else can we know we have good, usable data except besides knowing that…
A Step Ahead: Federated Data Stores
Government systems produce and store a large amount of data daily. Government leaders want to utilize this data to make…
Data’s Gender Gap: Healthcare’s Data Gap Is Still Open
A note from the author: In the last iteration of this column, I noted that it would be the end…
The Book Look: The Data Path Less Traveled
When is an answer “good enough”? There are many areas of data science and AI where we need to be…
Data’s Gender Gap: A Data Equity Reading List
Over the course of this column, I’ve cited a wide variety of sources regarding gender, technology, data, and more. As…
Through the Looking Glass: Suspending Judgement on Synthetic Data
Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent…
Zen and the Art of Data Maintenance: All Data is Suffering (Part 1)
Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital…
Tales & Tips from the Trenches: Edge Computing Challenges and Strategies
This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the…
The Data-Centric Revolution: Incremental Stealth Legacy Modernization
I’m reading the book Kill it with Fire by Marianne Bellotti. It’s a good book. Plenty of pragmatic advice, both…