InData Science CollectivebyBen Weber·May 19Structuring an ML Org for a DSPPods not Silos for Effective Model Delivery
InData Science CollectivebyBen Weber·May 15OnPrem vs Public Cloud for AdTech MLTradeoffs in Training and Inference at Ad Tech ScaleA response icon3A response icon3
InData Science CollectivebyBen Weber·May 12Using DNN Embedding Models in PySpark at AdTech ScaleInferencing on billions of records with PyTorch and ONNXA response icon1A response icon1
InData Science CollectivebyBen Weber·Sep 27, 2025Out of the Cloud: Building On-Prem Machine Learning PipelinesBuilding ML Workflows without Managed Services
InData Science CollectivebyBen Weber·May 18, 2025Serving Deep Learning in AdTechScaling model inference to millions of requests per secondA response icon2A response icon2
InTDS ArchivebyBen Weber·Jan 29, 2025Machine Learning Incidents in AdTechChallenges with deep learning in production
InTDS ArchivebyBen Weber·Jan 23, 2025Deep Learning for Click Prediction in Mobile AdTechMachine Learning for Real-Time Bidding
InTDS ArchivebyBen Weber·Dec 13, 202110 Technologies I Explored as an Applied Data Scientist in 2021ML for ad technology and diving into deep learningA response icon2A response icon2
InTDS ArchivebyBen Weber·Sep 7, 2021Approaches for Building Real-Time ML SystemsResponding to Prediction Requests in Milliseconds
