Legal Issues for Data Professionals: Pros and Cons of AI in Healthcare (Part 1)
The use of Artificial Intelligence (AI) in healthcare provides promises, risks, and unintended consequences. This column addresses the evolving AI…
Data Education
3 Keys to Citizen Data Scientist Success
The citizen data scientist phenomenon is in full swing and — while the approach has its detractors — the proof is…
The Importance of Data Strategy in Digital Transformation
The term digital transformation may mean different things to different companies. At its most fundamental, digital transformation is the movement…
The End of Agile – Part 6 (Alternatives to Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone…
Data Is Risky Business: The Big Picture Ethics of Small Data Actions
Regular readers of this column will have noticed a thread weaving its way through the articles over the past few…
Data Mart vs. Data Lake: Understanding the Difference
In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness…
The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
Several years ago, as part of some strategic marketing, we decided to target certain companies and industries. The thinking was…
The True Cost of Your Data in the Cloud
As organizations increasingly migrate to the cloud, understanding the true cost of storing and managing data is essential. Cloud computing…
The Risk and Promise of AI
Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live.…
The End of Agile – Part 5 (Misapplications of Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone…