Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...

Original Content

Why Operationalizing Machine Learning Requires a Shrewd Business Perspective

 Originally published in Analytics Magazine For a rocket scientist, the math isn’t the hardest part. What’s hard is being so often misunderstood. The same goes for data scientists, who time and again lack the support needed to successfully launch the fruits of their brilliant labor into action. These math heads have got to integrate into

Sampling For Your Analysis

 So you have a mailing campaign you are about to conduct. Your goal is to secure both increased response rates and sales volume. And a customer targeting methodology is crafted. Nothing elaborate-but response and sales models will...

Accuracy Fallacy: The Media’s Coverage of AI Is Bogus

  A shorter version of this article was originally published by Scientific American. A note from the editor: Although this article is a few years old, we’re bringing it back to your attention in 2024 since the...

Machine Learning and Artificial Intelligence: Not New Concepts for the Data Science Practitioner

 Economic disruption is a reality which has been a gradual development over the last several decades. Artificial intelligence (AI) has simply accelerated this process.  Virtually every industry has been impacted by AI and certainly data science is...

Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel

  Dr. Eric Siegel cuts through the buzzwords surrounding predictive analytics to reveal what it is, how it works, and how it is driving major improvements in business—including in demand forecasting. He discusses the persuasion paradox, reveals...

Investment Modeling Grounded In Data Science

 For more from Dr. Elder, join Predictive Analytics World Las Vegas, May 31-June 4, 2020.   Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for Government, Commercial and...

Some Thoughts On Being a Data Science Entrepreneur in a Disruptive Economy

 The movie “Being There” may seem like an odd theme on an article concerning data science entrepreneurship. Yet, this movie highlights certain characteristics which are essential to success as an entrepreneur within all disciplines including data science....

Asking the Right Analytics Questions and Whether Tiger Woods is better than Jack Nicklaus

  One of the most fundamental contributions we can make as consultants is to help our clients ask the right questions of their data. We’re often asked to help solve problems that turn out to be too...

Key Considerations in Applying Deep Learning to Predict Consumer Behavior

 The development and application of predictive analytics solutions for organizations is not new, particularly in the area of consumer behavior. Models have been built since the end of the Second World War to predict consumer behavior with...

Wise Practitioner – Predictive Analytics Interview Series: Nathan Susanj at Wells Fargo

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