Abstract: A method and system for artificial intelligence (AI) powered contextual recommendations of digital content. The method includes receiving an input, associated with a virtual environment, at a client device. The method also includes generating image embeddings based on an image representation of the virtual environment. The method also includes analyzing the virtual environment to identify one or more digital content included in the virtual environment based on the image embeddings. The method also includes determining a context of the virtual environment based on the one or more digital content. The method also includes determining a context of the virtual environment based on the one or more digital content and generating a recommendation based on the context.

Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.