Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

Predictive Analytics

Video – How to Use AI Ethically from Natalia Modjeska of Omdia

 Event: Machine Learning Week 2021 Keynote: How to Use AI Ethically Speaker: Natalia Modjeska, Research Director at Omdia (part of Informa Tech) Bio:  Natalia Modjeska is a Research Director at Omdia (part of Informa Tech) where she leads the team of analysts covering Artificial Intelligence and Intelligent Automation from processors and software to enterprise deployments. Natalia’s journey into

The First Rule of Machine Learning: Start without Machine Learning

 Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the...

Minority Voices ‘Filtered’ Out of Google Natural Language Processing Models

 Originally published in United AI, Sept 24, 2021. According to new research, one of the largest Natural Language Processing (NLP) datasets available has been extensively ‘filtered’ to remove black and Hispanic authors, as well as material related to gay...

Deep Learning’s Diminishing Returns

 Originally published in IEEE Spectrum, Sept 24, 2021. Deep Learning is now being used to translate between languages, predict how proteins fold, analyze medical scans, and play games as complex as Go, to name just a few applications of a technique...

There’s a Multibillion-Dollar Market for Your Phone’s Location Data

 Originally published in The Markup, Sept 30, 2021.  A huge but little-known industry has cropped up around monetizing people’s movements. Companies that you likely have never heard of are hawking access to the location history on your...

The Pandemic is Testing the Limits of Face Recognition

 Originally published in MIT Technology Review, Sept 28, 2021. Government use of face ID systems exploded during the pandemic—but tying it to critical services has left some people locked out at the moment they needed help the...

Video – The Data Model Strategy: Make Analytics Work for Your Business from Declan Owens of Piano

 Webinar:  The Data Model Strategy: Make Analytics Work for Your Business, Not the Other Way Around Speaker: Declan Owens, Digital Analytics Expert at Piano   (more…)

Why AI Isn’t Going to Replace Data Scientists Any Time Soon

 Should data scientists consider AI a threat to their short- or even long-term job security? In this article, I present a philosophical argument that adamantly argues, “No.” For the work of data scientists, and human endeavors in...

How Machine Learning Gave Australia An Edge in the Tokyo Pool

 Originally published in The Sydney Morning Herald, Aug 12, 2021. When Cate Campbell touched the wall ahead of American Abbey Weitzeil in the final leg of the women’s medley relay in Tokyo, it signified the end of...

Twitter AI Bias Contest Shows Beauty Filters Hoodwink the Algorithm

 Originally published in CNET.com, Aug 9, 2021. The service’s algorithm for cropping photos favors people with slimmer, younger faces and lighter skin. A researcher at Switzerland’s EPFL technical university won a $3,500 prize for determining that a...

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