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...

Left-hand

How to Build and Maintain High Quality Data Without Raising Billions

 Originally published in Anomalo, Dec 2, 2020. Airbnb has always been a data driven company. Back in 2015, they were laying the foundation to ensure that data science was democratized at Airbnb. Meanwhile, they have grown to more than 6,000 people and have raised more than $6b of venture funding. To stay data driven through

The Way We Train AI is Fundamentally Flawed

 Originally published in MIT Technology Review, Nov 18, 2020. The process used to build most of the machine-learning models we use today can’t tell if they will work in the real world or not—and that’s a problem....

A Company Called Pactum Shows The Power Of Artificial Intelligence’s Impact On Walmart And All Retail

 Originally published in Forbes, Nov 23, 2020. The most obvious way that artificial intelligence (AI) can impact retailers is to help consumers choose the right products when they shop. But there’s another less apparent way that AI...

Face For Sale: Leaks and Lawsuits Blight Russia Facial Recognition

 Originally published in Reuters, Nov 9, 2020. TBILISI (Thomson Reuters Foundation) – When Anna Kuznetsova saw an ad offering access to Moscow’s face recognition cameras, all she had to do was pay 16,000 roubles ($200) and send...

How to Make Artificial Intelligence Less Biased

 Originally published in The Wall Street Journal, Nov 3, 2020. AI systems can unfairly penalize certain segments of the population—especially women and minorities. Researchers and tech companies are figuring out how to address that. As artificial intelligence...

Walmart is Giving Up On Shelf-scanning Robots in Favor of Humans

 Originally published in The Verge, Nov 3, 2020. The retail giant has ended a contract with Bossa Nova Robotics. Retail robots that can scan shelves and update inventory have been one of the most visible faces of...

AI Recognizes COVID-19 in the Sound of a Cough

 Originally published in IEEE Spectrum, Nov 4, 2020. Based on a cellphone-recorded cough, machine learning models accurately detect coronavirus even in people with no symptoms. Again and again, experts have pleaded that we need more and faster...

AI Camera Operator Repeatedly Confuses Bald Head for Soccer Ball During Live Stream

 Originally published in The Verge, Nov 20, 2020. AI researchers sometimes refer to machine learning technology as “brittle.” By this, they mean that artificial intelligence lacks a human’s understanding of real world complexities, with the end result...

Switchback Tests and Randomized Experimentation Under Network Effects at DoorDash

 Originally published in DoorDash Engineering Feb 13, 2018. To A/B or not to A/B, that is the question Overview On the Dispatch team at DoorDash, we use simulation, empirical observation, and experimentation to make progress towards our...

What Twitter Learned From The Recsys 2020 Challenge

 Originally published in Towards Data Science on Oct 26, 2020. This year, Twitter sponsored the RecSys 2020 Challenge, providing a large dataset of user engagements. In this post, we describe the challenge and the insights we had...

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