Original Content

Contextual Experience Innovation

By: Madhu Raman, Ideation Head, Verizon

The perceived status of the consumer experience enhancement industry from an innovation practitioner’s vantage point is that it is mature. Operational perspectives and best practices are continuing to emerge and seem to be linked to corporate

Are Random Variables a Fact of Life in Predictive Models?

By: Richard Boire, Senior Vice President, Environics Analytics

In some of the more recent literature, discussion has ensued about the use of pure random or noise variables that end up as key variables in predictive models. In our big data environment with millions of records...

Managing Shifting Priorities in Exploratory Data Science Projects

By: Andy Janaitis, Software Engineer and Scrum Master, Elder Research

After working with a client’s data for over three weeks with no real progress, you finally hit upon a real breakthrough. You’ve been searching for insights that will help identify which customers are most likely to turn...

Breaking into Analytics: 5 “Musts” for your Career Transition

By: Piyanka Jain, Author, Behind Every Good Decision
President and CEO, Aryng

In our data-rich society, corporations of all types and sizes recognize the importance of utilizing information to understand their past and shape their future. Many organizations, however, ultimately fail to reap the powerful benefits of analytics as...

How Predictive Analytics Can Fuel Innovation for Manufacturing

By: Bala Deshpande, Founding Partner, SimaFore & Chair, PAW – Manufacturing

Industry leaders like to use the term “culture” to demonstrate the uniqueness of a business and to point out how, while products may be superficially imitated, can never be replicated by competitors because of this “culture” thing....

Rexer Analytics Data Science Survey – Highlights (New)

By: Rexer Analytics

White Paper with 2015 survey results available now. The field of data science has evolved in the past decade at a breathtaking pace. The potential applications and sources for rich datasets have expanded as has the...

How Can Predictive Analytics Help Your Bank or Fintech Company?

By: Steven Ramirez, CEO, Beyond the Arc, Inc

Predictive analytics encompasses a powerful set of methods that uses all the available data an organization can gather to answer key business questions. By enabling financial institutions to make data-driven business decisions, predictive analytics helps drive profit...

The Role of Feature Engineering in a Machine Learning World

By: Richard Boire, Senior Vice President, Environics Analytics

Artificial Intelligence(AI) continues to be the next great topic of debate. In fact, Microsoft, Amazon, IBM, Google and Facebook announced on Thursday,Sept.29 the formation of the Partnership on Artificial Intelligence to Benefit People and Society. Within the...

The Expansive Deployment of Predictive Analytics: 22 Examples

By: Eric Siegel, Founder, Predictive Analytics World
Originally published by Big Think

The future is the ultimate unknown. It’s everything that hasn’t happened yet. Prediction as a capability is booming. It reinvents industries and runs the world. More and more, predictive analytics drives commerce, manufacturing, healthcare, government, and...

Nine Bizarre and Surprising Predictive Insights from Data Science

By: Eric Siegel, Founder, Predictive Analytics World
Originally published by Scientific American

Data is the world’s most potent, flourishing unnatural resource. Accumulated in large part as the by-product of routine tasks, it is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of...