Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
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Presentation: The Infrastructure Challenge Behind Production AI
The panelists explain the realities of running AI systems reliably at scale. While building models is solved, maintaining production databases under…
Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddin…
Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking
Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The syste…
Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning
Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconn…