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11 Steps To Finding Data Scientists
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...
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Five Graphical Perception Best Practices Every Data Scientist Should Know
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,...
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Heilmeier Catechism: Nine Questions To Develop A Meaningful Data Science Project
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...
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Enterprise Data Science (EDS) – Updated Framework Model
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,...
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Deep Web Intelligence Platform: 6 Plus Capabilities Necessary for Finding...
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...
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46 Critical Capabilities of a Data Science Driven Intelligence Platform
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...
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Critical Capabilities for Enterprise Data Science
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,...
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Using Economic Value to Reduce Artificial Intelligence Development Risks
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...
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