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...
This article was written by Daniel McAuley. I recently had the pleasure of speaking on a few panels about analytics to my fellow MBA students and alumni, as well as many ...
As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI projects more quickly and at g...
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...
Divide-and-Conquer Algorithm Divide-and-conquer algorithms are made up of three steps: divide, conquer, and combine. In the divide stage, we divide the data into small...
Marketing, at least in the IT sector, has been replaced by memes.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...
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...
Martin Hughes, MBA Director for J.E. Cairnes School of Business & Economics at the National University of Ireland Galway, recently asked me to present to his MBA clas...