Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Machine Learning and Artificial Intelligence: Not New Concepts for the Data Science Practitioner
 Economic disruption is a reality which has been a...
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel
  Dr. Eric Siegel cuts through the buzzwords surrounding...
Investment Modeling Grounded In Data Science
 For more from Dr. Elder, join Predictive Analytics World...
Some Thoughts On Being a Data Science Entrepreneur in a Disruptive Economy
 The movie “Being There” may seem like an odd...

Original Content

Trust in Analytics Work: Why it’s Needed and How to Build It

 Much has been written about data-driven decision making. Someone new to analytics in business might reasonably think that the days of gut instinct and experience driving decisions are over, replaced by statistical models, machine learning methods, and optimization techniques. This is not wholly inaccurate but it grossly overstates reality, at least in my experience. The

Guiding Principles to Build a Demand Forecast

 Demand forecasting is one of the most challenging fields of predictive analytics. This is a reality that is industry agnostic – true across finance, health care, and consumer goods and retail. This will not come as a...

Wise Practitioner – Predictive Analytics Interview Series: Arcangelo Di Balsamo of IBM

 In anticipation of his upcoming conference presentation, Applied Predictive Analytics to Workload Automation, at Predictive Analytics World Chicago, June 8-11, 2015, we asked Arcangelo Di Balsamo, IBM Workload Automation Chief Architect at IBM, a few questions about...

Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott of Smarter Remarketer

 In anticipation of his upcoming conference presentation, The Revolution in Retail Customer Intelligence, at Predictive Analytics World Chicago, June 8-11, 2015, we asked Dean Abbott, Co-Founder and Chief Data Scientist of Smarter Remarketer, a few questions about...

Predictive Analytics in Sports

 The world of sports has seen exponential increases in costs primarily due to salaries. To truly appreciate this fact, I had a distant relative in the NHL who in 1980 earned approximately 80K. Meanwhile, the average household...

5 Things I Learned at Predictive Analytics World for Workforce

 As a trained researcher, I’ve always been fascinated with using quantitative methods to predict human behavior in a number of settings. Although different business functions such as finance, logistics, and marketing are more mature in their use...

Predictive Analytics as a Strategic HR Solution

 This interview is the second in a series on workforce predictive analytics. APQC interviewed John Callery, Director of People Analytics at AOL. In this role, he focuses on building a predictive analytics team to ensure talent-related decisions...

Visualizations Get Some Snap from R Shiny

 “Numbers have an important story to tell. They rely on you to give them a clear and convincing voice.” –Stephen Few Every data scientist bears the burden of clearly and convincingly communicating results to a client or...

What Programming do Predictive Modelers Need to Know?

 In most lists of the most popular software for doing data analysis, statistics, and predictive modeling, the top software tools are Python and R—command line languages rather than GUI-based modeling packages. There are several reasons for this,...

Wise Practitioner – Workforce Predictive Analytics Interview Series: John Callery at AOL

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, How AOL is Using Predictive Analytics as a Strategic HR Solution, we interviewed John Callery, Director of People Analytics at AOL, Inc. View the Q-and-A below to see how...

Page 39 of 52 1 34 35 36 37 38 39 40 41 42 43 44 52

Pin It on Pinterest