Recap a talk on Microsoft Research Summit 2021 by "Arun Iyer" on challenges building a DEEGO graph learning solution for search and recommendation problems.
Category: Deep Learning
Artificial intelligence, machine learning, deep learning
Apache Spark on Kubernetes—Lessons Learned from Launching Millions of Spark Executors (Databricks Data+AI Summit 2022)
This article summarize an exciting sharing session hosted by Zhou Jiang, Aaruna Godthi from Apple on Data+AI Summit 2022. In this session, Zhou and Aaruna talked about how they built a centralized Apache Spark cluster on Kubernetes that processes 380K+ Spark jobs per day to support analytics workflow and scientists experimentation in Apple.
MLOps at DoorDash (Data+A.I. summit 2022)
This post is a summary of a insightful tech talk by Hien Luu, Head of ML platform in Doordash about how DoorDash's MLOps infrastructure, motivation, strategy and learnings.
How AI increase drive-through sales for Starbucks (Data+A.I. summit 2022)
This post summarize a great sharing on Data+A.I. summit 2022 on how Starbucks implements a Reinforcement Learning solution to improve its sales in drive-through scenario.



