When I assembled my first data science team, the term was barely getting printed in the Harvard Business Review. I had no clue that I was building a team pioneering […]
Eleven key elements of data science outcome
Before thinking about what is the outcome of data science, maybe I should take the two seconds I think it takes to define it. As how to define data science, […]
Meet Cactar, the Ancient Mongolian Warlord of Data Quality
A Little History On August 18, 1227, the well-known Mongolian emperor Genghis Khan passed. Despite numerous criticisms, based on rumors of genocide and brutality, he united Mongolia. One of his […]
Business Agility, or how IT Should Inspire Business
This morning, I hit the road for a quick 20-minute ride to RTP (Research Triangle Park), to attend a workshop on business agility, organized by Eliassen Group. Animated and moderated […]
Benchmarking microSD on the Raspberry Pi, a Detailed Methodology
Following the success of my article on benchmarking microSD cards on the Raspberry Pi, I wanted to describe the methodology I used. It may sound boring to some, but it can […]
A few Guidelines for a Successful Software Project has just Moved
I wanted to keep this post a little more intemporal: it got lost in the middle of blog posts, etc. Therefore, I moved it to the permatechlinks section of JGP.net. […]
Five Good Reasons to Name your Fields Correctly
People will start to believe that I am starting a series on agriculture (see my previous post: Name your fields, it’s easier when you’re gonna harvest). They would be partially […]
Name your fields, it’s easier when you’re gonna harvest
Maybe, I am a little too much on the standardization side sometimes. However I like things to be consistent, therefore, in a project, I spend a great deal of times […]