Onnx in Stream Products

Onnx, an open-source AI ecosystem, is integral to Stream's product offerings, facilitating the development, training, and deployment of machine learning models across multiple platforms and frameworks. By incorporating Onnx, Stream enhances its product ecosystem, significantly improving functionalities such as content moderation and user experience personalization. This approach aligns with Stream's commitment to innovation, enabling rapid adaptation to new AI developments. Onnx is employed in various applications, including recommendation systems, natural language processing, image and video analysis, and anomaly detection, delivering accurate content evaluation and personalized user experiences. Implemented in the Go programming language, Onnx's integration with Stream products ensures scalability, interoperability, and reduced development time. Stream adheres to best practices like performance optimization, error handling, logging, model versioning, caching, and resource management to maintain a robust Onnx implementation. Future plans include expanding Onnx usage to new products, optimizing Go implementations, exploring new machine learning models, and investigating federated learning techniques, ensuring Stream's continued leadership in AI-powered communication and content services.