In anticipation of his upcoming conference presentation, B2B Tech 4sight: Identifying the Right Product Solution for the Right End Customer, from the Right Reseller at the Right Time, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Olaf Menzer, Predictive Data Analyst at Ingram Micro, a few questions about his work
In anticipation of his upcoming conference presentation, Model Based Fiber Network Expansion at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Nishant Sharma, Director, Predictive Analytics at Charter Communications, a few questions about...
Who is your favorite president? Can Data Science aid in evaluating presidents and their policies? From the suburbs of Washington, D.C., our research group at George Mason University (Abhishek Kamath, Suyameendra Wadki, and Abhishek Madhusudhan) have developed...
In anticipation of her upcoming conference presentation, Using Machine Learning to Move the Enterprise, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Theresa Kushner, SVP, Business Intelligence at Dell EMC, a few...
Transitioning from academia to industry in Data Science can be a daunting task. The sheer breadth of available tools can make it difficult to figure out where to start with learning Data Science skills, and which are...
Wall Street is big business, and it is about to become even bigger with the rise of big data. It is every investor’s dream to have prior knowledge of the direction of the market before it...
Transitioning from academia to industry in Data Science can be a daunting task. The sheer breadth of available tools can make it difficult to figure out where to start with learning Data Science skills, and which are...
Since time immemorial, human beings have puzzled over, and been fascinated by dualities: yin and yang, thought and action, strategy and execution. As CEO of Visier, a company that helps business leaders use data to answer critical...
By: Greta Roberts, CEO, Talent Analytics, Corp
Originally published at Talent Analytics, Inc. 1. Identify a business problem to solve. Almost everyone working on modern predictive analytics discusses the need for a defined business problem before engaging in a predictive project. And yet, the...
The debate on this topic is not a new one. What is the secret sauce in yielding improved modelling performance? Is it the inputs, features or variables of a given predictive model or is it the specific...
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