A conversational AI system allows businesses to offer previously unattainable personalized services when engaging with customers. Read this blog to learn more!

A conversational AI system engages in humanlike dialog, understands context, and provides intelligent responses. Such AI models are often huge and highly complex. With NetApp® ONTAP® AI, powered by NVIDIA DGX systems and NetApp cloud-connected storage systems, massive, state-of-the-art language models can be trained and optimized to run inference rapidly.

 

In conversational AI systems, developers can use NetApp Cloud Sync to archive conversation history from the cloud to data centers to enable offline training of natural language processing (NLP) models. By training models to recognize more intents, the conversational AI system is better equipped to manage more complex questions from end users.

 

Using NVIDIA Jarvis, an end-to-end framework for building conversational AI services, NetApp has built a virtual retail assistant that accepts speech or text input and answers questions about weather, points of interest, and inventory pricing by connecting to the WeatherStack API, the Yelp Fusion API, and the eBay Paython SDK.

 

For example, the conversational AI system is able to remember conversation flow and ask a follow-up question if the user doesn’t specify a location for weather or points of interest. The system also recognizes complex entities such as “Thai food” or “laptop memory.” It understands natural language questions like “will it rain next week in Boston?” and it can archive conversation history and  annotate sentences with intents and slots for NVIDIA NeMo training so that NLP service improves as more users interact with the system. Click this link to watch a demonstration of the NetApp retail assistant (NARA).

 

In summary, high-quality conversational AI systems can be built on ONTAP AI to allow businesses across verticals to offer previously unattainable personalized services when engaging with customers. To learn more, read the white paper WP-7328: NetApp Conversational AI using NVIDIA Jarvis.

Mike McNamara

Mike McNamara is a senior leader of product and solution marketing at NetApp with 25 years of data management and data storage marketing experience. Before joining NetApp over 10 years ago, Mike worked at Adaptec, EMC and HP. Mike was a key team leader driving the launch of the industry’s first cloud-connected AI/ML solution (NetApp), unified scale-out and hybrid cloud storage system and software (NetApp), iSCSI and SAS storage system and software (Adaptec), and Fibre Channel storage system (EMC CLARiiON). In addition to his past role as marketing chairperson for the Fibre Channel Industry Association, he is a member of the Ethernet Technology Summit Conference Advisory Board, a member of the Ethernet Alliance, a regular contributor to industry journals, and a frequent speaker at events. Mike also published a book through FriesenPress titled "Scale-Out Storage - The Next Frontier in Enterprise Data Management", and was listed as a top 50 B2B product marketer to watch by Kapos.

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