How Rocket Companies modernized their data science solution on AWS
In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational…
Amazon EMR
How LotteON built dynamic A/B testing for their personalized recommendation system
This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON is transforming itself into an online shopping platform that provides customers with an unprecedented shopping…
How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services
This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company with a mission to democratize internet commerce…
Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler | Amazon Web Services
We are happy to announce that SageMaker Data Wrangler now supports using Lake Formation with Amazon EMR to provide this fine-grained data access restriction.