All the sessions from Transform 2021 are available on-demand now. Watch now. AI is facing new calls for regulation now that it has emerged from the laboratory and is becoming more widely deployed across our daily lives. The public does not trust the technology. Nor should they.
Retailers looking to increase #AverageOrderValue should consider taking the following steps. @KiboCommerce allows you to connect all your data sources to create a better & more personalized #CX. Improve conversions & AOV with our personalization platform: https://t.co/f1LdaPKX47
Erika Sun & Keshava Subramanya | Ads Intelligence TeamThe Ads Intelligence team at Pinterest is charged with building and maintaining machine learning and algorithm-driven recommendations and the Recommendations Ranker to provide advertisers with the best experience in reaching relevant Pinners and
Are your @YouTube recommendations sometimes lies? Conspiracy theories? Or just weird as hell? You’re not alone. That’s why we conducted a study to better understand harmful YouTube recommendations. This is what we learned about #YouTubeRegrets ⤵️
Are your @YouTube recommendations sometimes lies? Conspiracy theories? Or just weird as hell?— Mozilla (@mozilla) July 7, 2021
You’re not alone. That’s why we conducted a study to better understand harmful YouTube recommendations.
This is what we learned about #YouTubeRegrets ⤵️https://t.co/oSDVb0d63b pic.twitter.com/i1CtnaYN06
With e-grocery options that rely on in-store picking, substitutions are still something of a sticking point for many shoppers.
According to this source, Brad Stone's first book on Jeff Bezos and Amazon explains the origins of "p13n":
He loves simplicity and keeping things short. That’s why he called Amazon’s “Personalization” team “P13N”. Since in the word “Personalization” there are 13 letters between “P” and “N”; he chose to call it “P13N”. Same thing happened with the “Algorithms” team; it’s called “A9”. Google these two teams and you’ll find they are still called so to this day.
What I love most about this is that it wasn't just a simple build vs. buy, where build won but engineering phoned in the implementation. Going the extra mile to rethink the core UI/experience of a virtual presentation and putting so much aesthetic polish into the product is an extreme(ly admirable) customer-centricity move.
Observability is defined as the ability of the internal states of a system to be determined by its external outputs. With the unknown unknowns of our software’s failure modes, we want to be able to figure out what’s going on just by looking at the outputs: we want observability.
Additional reading (Wikipedia and other sources)
Your brand now has the power to build personalization and recommendation engines using the same technology as Amazon.com—with no machine-learning experience required. According to Amazon, “Amazon Personalize reduces the time to build a custom (machine learning) model from months to days.