Your in-house data science team is not the exclusive source of AI/ML based improvements. Process Re-engineering is gaining new life as a way to optimize data processes....
Hello fellow Data Science-Centralists! I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to). The main thrust is...
Are people across your business capturing metrics – but can’t say exactly why? Are KPIs poured into reports, but too few are understood? When KPIs do get discussed, d...
With more and more people getting conversant in analytics, its demand in every field becoming more pronounced. Product is no different. It is almost inevitable to introdu...
90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated – around 147,000 gigabytes pe...
Introduction Predictive Analytics and Machine Learning are two related areas that are not mutually dependent, whereas Predictive Analytics can be introduced with or witho...
Why do we need Learning Sprints? Virtually every company is under pressure to transform their business in order to sustain in the future. As part of these efforts, they a...
After more than 10 years being involved with Data Science Central, initially as the founder, and most recently being acquired by TechTarget, I have decided to pursue new ...
Summary: Things are getting repetitious and that can be boring. Still, looking at lessons from the 90s it’s clear there are at least one or two decades of important...
Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of visual analytics...