Data mining includes statistics and elements of statistical analysis. Some people describe the two as interconnected, others as them being on a continuum. This one pi...
Since technical debt has become a central part of my recent professional challenges, I started writing a series of installments regarding this topic. Do not expect any ex...
My new ebook about Agile, AI, data, deep learning, IT and much more. Highly polemic, contrarian and insightful. It informs, educates and entertains. It incites thought, r...
Marketing, at least in the IT sector, has been replaced by memes. Every so often a Gartner slide deck goes viral, and the next thing anyone knows, pithy and mostly meanin...
2020 is the year that AI has moved from a science experiment to business as usual. And with the arrival of AI comes the need for AI governance. How do you know that your ...
Introduction We live in a time in which information is the core element of business success for companies in almost any industry. Data is the key to making proper and tim...
This blog post talks about the concepts of data structures and algorithms and introduces the why of integrating them. A few topics in data engineering will be scanned thr...
We must have read tons of literature on developing analytics models and finding information/insights out of data blob. Majorly this activity can run stand alone on your s...
Many data scientists and epidemiologists have developed various models and predictions, mostly alarming ones. Here I discuss issues that make most of these analyses meani...
While I was laid off due to the new Coronavirus, I created a computer application called Little Blue Pearl (LBP) – named after our planet. Although I was recalled a...