Conversational AI System Built with NVIDIA and NetApp

Mike McNamara
Mike McNamara

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).

Conversational AI System Built with NVIDIA and Net - Inline Image 2In 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

Mike McNamara 是 NetApp 產品和解決方案行銷的資深主管，在資料管理和雲端儲存行銷領域擁有超過 25 年的豐富經驗。在十年前加入 NetApp 之前，Mike 曾任職於 Adaptec、Dell EMC 和 HPE 等公司。Mike 是推出第一方雲端儲存產品和業界第一款雲端連線 AI/ML 解決方案 (NetApp)、統一化橫向擴充和混合雲儲存系統與軟體 (NetApp)、iSCSI 和 SAS 儲存系統與軟體 (Adaptec)，以及光纖通道儲存系統 (EMC CLARiiON) 的重要團隊領導者。此外他曾經擔任「光纖通道產業協會 (Fibre Channel Industry Association，FCIA)」的行銷主席，也是乙太網路技術高峰會議顧問委員會、乙太網路聯盟的成員，現在仍定期為業界期刊撰稿，並經常擔任活動講師。Mike 還透過 FriesenPress 出版了一本名為《橫向擴充儲存設備 - 企業資料管理的未來樣貌》的書籍，並被 Kapos 列為值得關注的 50 名 B2B 產品行銷人員。查看 Mike McNamara 的所有文章

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