来火山引擎「算子广场」，一键处理多模态数据

Core Insights - The article discusses the launch of the "Operator Square" feature within the AI Data Lake Service (LAS) by Volcano Engine, aimed at enhancing multi-modal data processing capabilities for enterprises [1][3][8] Group 1: Product Development - Volcano Engine's AI Data Lake Service (LAS) was released in June, designed to support multi-modal data and provide core capabilities in lake storage, management, and computation [3] - The introduction of the "Operator Square" significantly lowers the development threshold for multi-modal data processing by encapsulating complex AI algorithms into pre-set operators, allowing enterprises to quickly build data processing workflows without starting from scratch [3][4] Group 2: User Experience and Efficiency - Users can visually drag and drop to quickly assemble modular workflows, reducing the need for complex coding and reliance on specialized data scientists and algorithm engineers [4] - The "Operator Square" includes over 100 plug-and-play standardized operators and integrates mainstream open-source operator libraries, covering various multi-modal data processing scenarios [3][4] Group 3: Application and Impact - The multi-modal data lake solution has been applied to automate content review systems, achieving a content review coverage rate of 99.5% and significantly improving the accuracy and timeliness of identifying non-structured audio and video data [6] - The solution supports dynamic resource scheduling based on task types, ensuring high concurrency performance and addressing challenges in multi-modal data integration and resource management [8]