Monday, November 19, 2018
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Practice & Methodology

Most enterprise artificial intelligence projects fail. They suffer from a fundamental flaw that prevents them from achieving their stated business goals. The flaw is so deep and so embedded that it can’t be engineered away or risk managed out....
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...
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...
Over the last several months I have been involved with developing uniques data science capabilities for the intelligence community, ones specifically based on exploiting insights derived from the open source intelligence (OSINT) found in the deep web. The deep web...
Companies continue to struggle with how to implement an organic and systematic approach to data science. As part of an ongoing trend to generate new revenues through enterprise data monetization, products and services owners have turned to internal business...
As director of ARPA in the 1970’s, George H. Heilmeier developed a set of questions that he expected every proposal for a new research program to answer. No exceptions. He referred to them as the "Heilmeier Catechism" and are...
Graphical perception - the visual encoding of data on graphs - is an important consideration in data exploration and presentation visualization. In their seminal work, "Graphical Perception: Theory, Experimentation and Application to the Development of Graphical Methods," William Cleveland...
Data scientist recruiting can be a challenging task, but not an impossible one. Here are eleven tips that can get you going in the right recruiting direction: 1. Focus recruiting at the universities that have top notch computer programming, statistical,...