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At QCon SF 2024, Wenjie Zi of Grammarly presented on the challenges inherent in machine learning projects. She began by citing daunting statistics: historical studies show failure rates as high as 85%, with recent research indicating little improvement. This high failure rate highlights a significant issue in the field: despite advances in AI technology, applying […]
Moumita Bhattacharya spoke at QCon SF 2024 about state-of-the-art search and ranking systems. She gave an overview of the typical structure of these systems and followed with a deep dive into how Netflix created a single combined model to handle both tasks. Dr. Bhattacharya, a Senior Research Scientist at Netflix, began by outlining the problem […]
At QCon San Francisco 2024, software architecture is front and center, with two tracks dedicated to exploring some of the largest and most complex architectures today. Join senior software practitioners as they provide inspiration and practical lessons for architects seeking to tackle issues at a massive scale, from designing diverse ML systems at Netflix to […]