Tuesday, October 15, 2019
Open Source Intelligence (OSINT) can use sophisticated Sociological and Psychological (Socio-Psycho) factors in order to positively identify Key Opinion Leaders (KOL). This animated presentation demonstrates just how it can be applied to one of the most opaque places on earth: The...
We are proud to announce "The Data Scientist Insights Daily," a morning paper filled with all the data science and big data news that is fit to print. The daily paper  gives you access to an ever-expanding universe of...
There is a lot of discussion around how data sciences and data analytics differ, from the tools that are used to the methodologies that are employed. Two useful perspectives are to look at the differences (what separates them) and...
Heads Up - This is a stream of consciousness! Please be patient with me while I incrementally refining it over time. Critical feedback is welcome! There are several different ways to define when data becomes big data. The two traditional approaches...
In the article "46 Critical Capabilities of a Data Science Driven Intelligence Platform” an original set of critical enterprise capabilities was identified. In enterprise architecture language, capabilities are "the ability to perform or achieve certain actions or outcomes through a set...
Gregory Piatetsky and Shashank Lyer have begun to answer one of the most asked question facing data science practitioners: Which tools work with which other tools? If I had a dollar for every time this question was asked of...
The U.S. is on the brink of witnessing some of the largest economic losses in net wealth since the Great Depression. The US Wealth To Income index (reported in Credit Suisse Global Wealth Report 2014) has exceed its mean...
Data science is much more than just a singular computational process. Today, it’s a noun that collectively encompasses the ability to derive actionable insights from disparate data through mathematical and statistical processes, scientifically orchestrated by data scientists and functional...
This is the first in a series of screencasts designed to demonstrate practical aspects of data science. In this episode, I will show you how to integrate R, that awesome awe inspiring statistical processing environment, with Hadoop, the master...
Data sciences and data analytics not only use different techniques, that are often highly dependent on the distribution characteristics of the data, but also produce very different categorical types of insights. These insights range from a better understanding things...