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…
Big Data Columns
Big Data Columns
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…
Data Value Chain: Analysis-Enable Data Products
In 2021, there were many new use cases that came to life and became viable “data products” due to focus…
Data’s Gender Gap: Marginalized By Data Collection
This column has looked at the variety of ways in which data is harmfully gender segregated and neglects to accurately…
The Data-Centric Revolution: Data-Centric Accounting
I didn’t set out to rewrite the rules of accounting. It just sort of happened. It is a tale of…