NVIDIA Jarvis Simplifies Building State-of-the-Art Conversational AI Services
New Application Framework Enables Creation of Custom, Language-Based AI Services from Customer Support to Real-Time Transcriptions
NVIDIA announced the release of NVIDIA Jarvis, a GPU-accelerated application framework that allows companies to use video and speech data to build state-of-the-art conversational AI services customized for their own industry, products and customers.
The shift toward working from home, telemedicine and remote learning has created a surge in demand for custom, language-based AI services, ranging from customer support to real-time transcriptions and summarization of video calls to keep people productive and connected.
Among the first companies to take advantage of Jarvis-based conversational AI products and services for their customers are Voca, an AI agent for call center support; Kensho, for automatic speech transcriptions for finance and business; and Square, with its virtual assistant for appointment scheduling.
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“Conversational AI is central to the future of many industries, as applications gain the ability to understand and communicate with nuance and contextual awareness,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA Jarvis can help the healthcare, financial services, education and retail industries automate their overloaded customer support with speed and accuracy.”
Applications built with Jarvis can take advantage of innovations in the new NVIDIA A100 Tensor Core GPU for AI computing and the latest optimizations in NVIDIA TensorRT for inference. For the first time, it’s now possible to run an entire multimodal application, using the most powerful vision and speech models, faster than the 300-millisecond threshold for real-time interactions.
Jarvis provides a complete, GPU-accelerated software stack and tools making it easy for developers to create, deploy and run end-to-end, real-time conversational AI applications that can understand terminology unique to each company and its customers.
“IDC continues to see rapid growth within the conversational AI market largely because organizations of all sizes are beginning to realize the value of using well-trained virtual assistants and chatbots to help service their customers and grow their businesses,” said David Schubmehl, research director of AI Software Platforms at IDC. “IDC expects worldwide spending on conversational AI use cases like automated customer service agents and digital assistants to grow from $5.8 billion in 2019 to $13.8 billion in 2023, a compound annual growth rate of 24 percent.”
To offer an interactive, personalized experience, companies need to train their language-based applications on data that is specific to their own product offerings and customer requirements. However, building a service from scratch requires deep AI expertise, large amounts of data and compute resources to train the models, and software to regularly update models with new data.