Jason DaiLarge-scale Offline Book Recommendation with BigDL at Dangdang.comAuthors: Kai Wan (Dangdang.com), Kai Huang (Intel), Jason Dai (Intel), Chaoqing Zhao (Intel), Erjin Ren (Intel), and Xin Qiu (Intel)Jan 17, 2023Jan 17, 2023
Jason DaiOptimized Large-Scale Item Search with Intel BigDL at Yahoo! JAPAN ShoppingAuthors: Naoaki Yamashita (nyamashi@yahoo-corp.jp), Kai Huang (kai.huang@intel.com), Jason Dai (jason.dai@intel.com), Hiroshi Ouchiyama…Dec 20, 2022Dec 20, 2022
Jason DaiinDistributed Computing with RayBuild End-to-End AI Pipeline Using Ray and Apache SparkIn my previous blog for our CVPR 2020 tutorial, I shared our efforts in scaling AI for distributed Big Data, a key challenge that arises…Sep 2, 2020Sep 2, 2020
Jason DaiinThe StartupScaling Giant Model With Google’s GShardOriginally published at LinkedIn Pulse.Aug 18, 2020Aug 18, 2020
Jason DaiinriselabContext-Aware Fast Food Recommendation at Burger King with RayOnSparkAuthors: Luyang Wang (lwang1@rbi.com), Jiao Wang (jiao.wang@intel.com), Kai Huang (kai.huang@intel.com), Shengsheng Huang…Jul 8, 2020Jul 8, 2020
Jason DaiinThe StartupSeamlessly Scaling AI for Distributed Big DataOriginally published at LinkedIn Pulse.Jul 8, 2020Jul 8, 2020
Jason DaiinriselabScalable AutoML for Time Series Prediction Using Ray and Analytics ZooShengsheng Huang (shengsheng.huang@intel.com), Shan Yu (shan.yu@intel.com), Jason Dai (jason.dai@intel.com), Endy Yin…Nov 4, 20191Nov 4, 20191
Jason DaiinriselabRayOnSpark: Running Emerging AI Applications on Big Data Clusters with Ray and Analytics ZooZhichao Li (zhichao.li@intel.com), Jason Dai (jason.dai@intel.com)Jul 29, 20192Jul 29, 20192