Machine Learning Times
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Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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...
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7 years ago
It’s Not the Tool – It’s All in the Data

    By: Sam Koslowsky, Senior Analytic Consultant, Harte Hanks After more than thirty years in the targeted modeling field, I still hear the same question I heard when I was first beginning. “Which tool produces the best result,” is an often-asked query. Indeed, at a recent seminar I was conducting among data science graduate students, I was asked that very question. And a dialogue among several participants ensued, each claiming that what he used was the best. At the conclusion of their give-and-take, I chimed in, “It’s not the tool – it’s the data.” What distinguishes the

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