Treacherous Visualizations: How To Detect and Fix Them
Here I discuss my prediction about the worst 15-year long (yet unabated) real estate bubble: this is an example where visualizations, when not carefully selected and put ...
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3 Ways Data Will Impact Elections Now And In the Future
3 Ways Data Will Impact Elections Now And In the Future Whether you love or hate politics, one thing is for certain. Come election year- you’re going to hear a lot abou...
There will be EXACTLY 18.995 billion connected #IoT devices by 2020.
If you follow news about the Internet of Things, you will have read quite a few articles that attempt to predict the number of connected devices by the year 2020. http://...
MIT Algorithm Predicts Rogue Waves in Real Time to Save Lives
Using AI and data science, an MIT team was able to accurately predict rogue waves coming out of the blue in the middle of the ocean, in near real time, to help sailors ch...
Math or Engineers — who will solve the big data problem?
Guest blog post by Charlie Silver, CEO of Algebraix Data. Originally entitled ‘Data Algebra Does Big Data’. Algebra is powerful. It enables people to solve...
5 Ways to Get Fired as a Data Scientist
Guest blog by Justin B. Dickerson, PhD, MBA, PStat, Chief Data Scientist at Snap Advances. Okay, that headline was meant to get your attention. But lately, I’ve b...
Groundhogs. I choose to celebrate National Prediction Day
Guest blog by Jay Gendron, Associate Data Scientist at Booz Allen Hamilton; Author; Data Analytics; Speaker. Happy Groundhog Day! Happy National Prediction Day? In today�...
Are You Stuck in Analytics 2.0?
Summary: It’s time to start thinking about whether our analytic tools and techniques are up to what it takes to move on to Analytics 3.0. In 2013 Thomas Davenport pro...
Open Data in Government
Open data has several definitions but our preferred one at Data To Value is from the Open Data Institute – ‘Open data is data that anyone can access, use and share.�...
Data Privacy: Protecting Confidentiality with Differential Privacy
Background knowledge attack uses quasi-identifier attributes of a dataset and reduce the possible values of output sensitive information. A well-known example about backg...