Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

Predictive Analytics

The Four Most Common Fallacies About AI

 Originally published in VentureBeat, May 8, 2021. The history of artificial intelligence has been marked by repeated cycles of extreme optimism and promise followed by disillusionment and disappointment. Today’s AI systems can perform complicated tasks in a wide range of areas, such as mathematics, games, and photorealistic image generation. But some of the early goals of AI like housekeeper robots

How Image Search Works at Dropbox

 Originally posted in Dropbox.tech, May 11, 2021 Photos are among the most common types of files in Dropbox, but searching for them by filename is even less productive than it is for text-based files.  When you’re looking...

Aiming for truth, fairness, and equity in your company’s use of AI

 Originally published in FTC, April 19, 2021: Advances in artificial intelligence (AI) technology promise to revolutionize our approach to medicine, finance, business operations, media, and more. But research has highlighted how apparently “neutral” technology can produce troubling...

Moving Beyond “Algorithmic Bias is a Data Problem”

 Originally published in Patterns, April 9, 2021. A surprisingly sticky belief is that a machine learning model merely reflects existing algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear evidence to the...

Hot Video: More Accuracy Fallacies – Predicting Criminality and Psychosis

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re a criminal? Or whether you’ll develop psychosis? These are perfect examples of the accuracy fallacy, which misleads the public into...

The Precondition for Machine Learning Success: Bridge the Quant/Business Culture Gap

  Over the last few years, I poured thousands of working hours and 25 years of consulting and teaching experience into making the online course Machine Learning Leadership and Practice – End-to-End Mastery. Why? I developed this...

Can Artificial Intelligence Combat Wildfires? Sonoma County Tests New Technology

 Originally published in Los Angeles Times, March 19, 2021. Sonoma County is adding artificial intelligence to its wildfire-fighting arsenal. The county has entered into an agreement with the South Korean firm Alchera to outfit its network of...

Data Science for Marketing Optimization – Case Studies from Airbnb, Lyft, DoorDash

 Originally published in Blogboard Journal, Jan 7, 2021. In this article we’ll look at several case studies of data science being used to optimize marketing efforts at companies like Lyft, Airbnb, Netflix, Doordash, Wolt, Rovio Entertainment. In...

Machine Learning’s Missing Link: Business Leadership

  Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few “Skills Companies Need Most” and as the very top emerging...

Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities

 Book Review of Closing the Analytics Talent Gap: An Executive’s Guide to Working with Universitiesby Dr. Jennifer Priestley and Dr. Robert McGrath (CRC Press 2021, part of the Data Analytics Applications series, edited by Jay Liebowitz). We...

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