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…
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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…
The Analytics Sandwich: Understanding the Business Value of Data and AI
In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm…
The End of Agile – Part 4 (Lessons from Agile)
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone…
A Step Ahead: IoT Data Characteristics — Seven Vs
IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing,…
Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on…
Data Crime: Arizona Is Not Arkansas
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Do Citizen Data Scientists Add Value or Is the Concept Mere Buzz?
If you read trade or industry journals or business publications, you have probably noticed that the subject of the citizen data scientist is…
The End of Agile – Part 1 (A Brief History of Agile)
In recent years, we have seen substantial pushback on many fronts against Agile as a viable and important project management…
Creative Ways to Surf Your Data Using Virtual and Augmented Reality
Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes…