Hybrid-Cloud Speech AI Solution

Since up to 90% of the world’s data is unstructured, enterprises are adopting conversational AI technologies to extract value and insights from these data. While GPU-accelerated natural language processing (NLP) tools help process text data, enterprises increasingly need a solution stack that can optimize audio data collection, processing, and analysis to capitalize on this opportunity. This solution has to deploy highly accurate speech recognition and synthesis at a scale that translates industry-specific jargon, enables interactions in many languages, and provides real-time responses. Join HPE and NVIDIA experts to learn about architectural requirements, scaling considerations in building such a solution, and the technical implementation and performance details of the conversational AI solution using NVIDIA Riva, NVIDIA GPUs, HPE Ezmeral software, and HPE GreenLake.