Organizations that hope to make AI a differentiator need to draw from alternative data sets — ones they may have to create themselves. Machine learning — or artificial intelligence, if you prefer — is already becoming a commodity.
Read the full article here: https://sloanreview.mit.edu/article/the-machine-learning-race-is-really-a-data-race/
Little-known companies are amassing your data — like food orders and Airbnb messages — and selling the analysis to clients. Here’s how to get a copy of what they have on you.
Read the full article here: https://www.nytimes.com/2019/11/04/business/secret-consumer-score-access.html
The boxes for prescription drugs typically include an insert of tissue-thin paper folded as tight as origami.
Read the full article here: https://medium.com/berkman-klein-center/from-technical-debt-to-intellectual-debt-in-ai-e05ac56a502c
Bill Benter did the impossible: He wrote an algorithm that couldn’t lose at the track. Close to a billion dollars later, he tells his story for the first time. Happy Valley Racecourse in Hong Kong. Photographer: Xyza Bacani for Bloomberg Businessweek.
Read the full article here: https://getpocket.com/explore/item/the-gambler-who-cracked-the-horse-racing-code
In recent years, we’ve been hearing more about the role of algorithms in our lives. Algorithms are helping decide whether people get a job or a loan, what news (fake or otherwise) they consume, even the length of their prison sentence.
Read the full article here: https://logicmag.io/play/interview-with-an-anonymous-algorithmic-trader/
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