Abstract: Techniques for providing forward-looking mobile network performance visibility via an intelligent application programming interface are described. Network performance metadata associated with a wireless network of a communications service provider is obtained and stored in a data lake. One or more machine learning models are trained based on use of the wireless network performance metadata. The one or more machine learning models, or predictions such as forecasts generated via use of the models, are used to service requests received at a cloud provider network seeking forward-looking performance characteristics of the wireless network.

Abstract: The present invention provides an improved video head-end. The video head-end is adapted to, upon receipt of a data stream including interactive data, identify the interactive data and extract the interactive data from the data stream. Once the interactive data has been extracted from the data stream it can be translated into a different language. The different language being one that an endpoint in a television network can process. Once the interactive data has been translated it can be transmitted, along with any other data that formed part of the data stream the television network.