Netflix upgrades live operations from manual engineer-driven processes to a standardized 'fleet' model, achieving over 400 live events annually.
Netflix uses a boosted tree regression model to predict content asset delivery dates, aiding launch planning decisions.
The Technology Radar emphasizes a shift from AI experimentation to engineering stability.
Exploring cognitive debt caused by AI acceleration.
Netflix uses LLM to evaluate the quality of show synopses, combining expert and user feedback.
Netflix develops interval-aware caching for Druid to reduce the load of repeated queries.
Netflix builds a multimodal video search system.
Thoughtworks proposes a strategic framework for enterprise AI adoption and risk management, categorizing AI use cases into three types and customizing strategies accordingly.
No briefing yet, click to read original
Netflix has switched all live events to VBR encoding.
Thoughtworks uses AI-assisted engineering to achieve API modernization.
AI is reshaping the SaaS market, challenging traditional per-seat pricing models, and forcing SaaS to evolve into data sources.
Thoughtworks is hosting the Technology Radar Vol. 34 webinar series.
This article outlines the five core components of AI-native engineering.
Meituan BI builds a metric platform to address issues of confusing data definitions and poor query performance in traditional BI under personalized datasets.
No briefing yet, click to read original
Thoughtworks shares the implicit value of TDD, emphasizing its importance in the AI era.
Dazhong Dianping M Station uses Qwik.js for reconstruction, achieving faster load times and improved conversion rates.
Thoughtworks reveals the actual path of AI-assisted COBOL modernization.
AI-assisted airport navigation solution for people with disabilities