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,...

Original Content

How To Un-Botch Predictive AI: Business Metrics

  Originally published in Forbes Predictive AI offers tremendous potential – but it has a notoriously poor track record. Outside Big Tech and a handful of other leading companies, most initiatives fail to deploy, never realizing value. Why? Data professionals aren’t equipped to sell deployment to the business. The technical performance metrics they typically report on

2 More Ways To Hybridize Predictive AI And Generative AI

  Originally published in Forbes Predictive AI and generative AI are two very different animals that, it turns out, desperately need one another. Since they serve different purposes, projects that employ them are often siloed away from each...

How To Overcome Predictive AI’s Everyday Failure

  Originally published in Forbes Executives know the importance of predictive AI. As Unilever CDO Morgan Vawter wrote, “Its practical deployment represents the forefront of human progress: improving operations with science.” But there’s bad news for data scientists: Your predictive...

Our Last Hope Before The AI Bubble Detonates: Taming LLMs

  Originally published in Forbes To know that we’re in an AI bubble, you don’t need OpenAI chair Bret Taylor or Databricks CEO Ali Ghodsi to admit it, as they have. Nor do you need to analyze the telltale economics of...

The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized

  Originally published in Forbes I recently wrote about how agentic AI is the new vaporware, reasoning that it’s a hype term that repackages pie-in-the-sky AI ambitions, but does not allude to any particular advancement that might achieve...

Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It

  Originally published in Forbes To be a business is to constantly work toward improved operations. As a business grows, this usually leads to the possibility of using predictive AI, which is the kind of analytics that improves existing,...

Agentic AI Is The New Vaporware

  Originally published in Forbes The hype term “agentic AI” is the latest trending buzzword to repackage pie in the sky AI ambitions, but it does not allude to any particular advancement that might achieve them. It amplifies...

Predictive AI Too Hard To Use? GenAI Makes It Easy

  Originally published in Forbes So much potential. Predictive AI often delivers more value than its heavily publicized sister, generative AI. It’s the technology you turn to for improving your largest-scale operations. Its value proposition is straightforward and...

How Predictive AI Will Solve GenAI’s Deadly Reliability Problem

  Originally published in Forbes Generative AI too unreliable to launch? Predictive AI will realize genAI’s bold, often overzealous promise of autonomy – or at least a great deal of it. While the generative AI industry rides high on...

5 Ways To Hybridize Predictive AI And Generative AI

  Originally published in Forbes AI is in trouble. Both of its main two flavors, generative AI and predictive AI, face crippling limitations that compromise their ability to realize value. The solution? GenAI helps predictive AI and vice...

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