Abstract: A system and method for using speech recognition, natural language understanding, image processing, and facial recognition to automatically analyze the audio and video data of video content and generate enhanced data relating to the video content and characterize the aspects or events of the video content. The results of the analysis and characterization of the aspects of the video content may be used to annotate and enhance the video content to enhance a user's viewing experience by allowing the user to interact with the video content and presenting the user with information related to the video content.

Abstract: Provided are methods and systems for providing users with a tool that can offer recommendations on how to optimize the development and performance of their applications. A diagnosis and optimization method, system, and engine captures various data associated with, for example, building, deploying, releasing, and running a user's application, and utilizes such data to generate recommendations/suggestions as to how the user can best balance high release productivity, ease of management, and cost optimization. The methods and systems utilize the end-to-end story of a user's development process (e.g., from the time the user submits code to when the application is actually up and running) to generate recommendations as to ways that the user can optimize their system including, for example, how the user can layout their application topology differently, reduce latency, increase data locality, or optimize billing costs.