Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Author Archive

The Business of Artificial Intelligence—What It Can and Cannot Do for Your Organization

 Originally published in Harvard Business Review For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies — a category that includes the steam engine, electricity, and the internal combustion engine. Each one catalyzed waves of complementary innovations and opportunities.

The Harvard Business Review Video Interview: Eric Siegel on Predictive Analytics

 Originally published by Harvard Business Review If the video is not showing, click here to view linked to:  https://hbr.org/webinar/2017/09/putting-predictive-analytics-to-work Prediction is reinventing industries and changing our worlds. Companies, governments, law enforcement agencies, hospitals, and universities are using the...

How Google is Remaking Itself as a “Machine Learning First” Company

  Originally published in Wired.com Carson Holgate is training to become a ninja. Not in the martial arts — she’s already done that. Holgate, 26, holds a second degree black belt in Tae Kwon Do. This time it’s...

New-Age Machine Learning Algorithms in Retail Lending

 Originally published in KDNuggets.com             More than a decade back while joining a large US Credit Card company, it was surprising to see that Predictive Analytics was limited to multivariate regression and...

Machine Learning Tip: Nested Cross Validation – When (Simple) Cross Validation Isn’t Enough

 Several scientific disciplines have been rocked by a crisis of reproducibility in recent years . Not long ago, Bayer researchers found that they were only able to replicate 25% of the important pharmaceutical papers they examined , and an...

The AI “Gaydar” Study and the Real Dangers of Big Data

 Originally published in The New Yorker Editor’s note: Keep in mind that the high “accuracies” such as 81%, as reported by this research up front, are misleading. The model is effective, with a lift around 7 at...

Wise Practitioner – Predictive Analytics Interview Series: Anna Kondic at Merck

 In anticipation of her upcoming conference presentation at Predictive Analytics World for Healthcare New York, October 29 – Nov 2, 2017, we asked Anna Kondic, Executive Director, Predictive Economic Modeling at Merck, a few questions about incorporating predictive...

Automation and Its Impact on Predictive Analytics – The Increasing Importance of the Hybrid-Part 3

 In my last article, I discussed the increasing impact of automation and its actual impact in creating the analytical file. As any data scientist knows, this component or stage of the data science process can typically represent...

Ten Things Everyone Should Know About Machine Learning

 This article originally appeared as an answer on Quora. As someone who often finds himself explaining machine learning to non-experts, I offer the following list as a public service announcement. Machine learning means learning from data; AI is...

Wise Practitioner – Predictive Analytics Interview Series: Lukas Vermeer at Booking.com

 In anticipation of his upcoming conference presentation, Data Alchemy at Predictive Analytics World for Business London, October 11-12, 2017, we asked Lukas Vermeer, Data Scientist, Booking.com, a few questions about his work in predictive analytics. Q: Hi...

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