Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
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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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