“AWS today announced the beta launch of Amazon Honeycode, a new, fully managed low-code/no-code development tool that aims to make it easy for anybody in a company to build their own applications. All of this, of course, is backed by a database in AWS and a web-based, drag-and-drop interface builder.”
“Domino’s uses artificial intelligence to determine its pizza delivery times and, in Australia and New Zealand, to monitor quality. Sephora’s ColorIQ scans shoppers’ skin to provide custom recommendations for foundation and concealer. Walmart’s Intelligent Retail Lab is experimenting with a number of artificial intelligence tools.
‘retailers — except for the top ones — are struggling to find talent for an internal team to bring that kind of data science on board. There is a great push to find solution providers with AI embedded. It basically democratizes the capabilities that AI brings to the table.’
‘Yes, in the long run, Amazon would love to think that everyone is using Alexa to shop but that’s not the real endgame. All the other uses — the queries, the questions, checking the score in the game, the weather — all of that data can begin to inform Amazon’s strategy and choices. It’s not simply about order data but being privy to some of the most intimate queries that customers are making.’”
“Scientists at Amazon describe a GAN that generates clothing examples to match product descriptions, which they say could be used to refine customer text queries. For instance, if a shopper searched for “women’s black pants” and then add the word “petite” and then the word “capri,” the on-screen images would adjust accordingly with each new word.
In experiments, the team reports that ReStGAN improved product classification by type up to 22% and gender up to 27%, compared with the previous best-performing models based on the StackGAN architecture. Color improved 100%.”