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Date: Wednesday, January 25, 2023
Time: 10:00am - 11:00am PT
Duration: 1 hour

Financial services companies are under pressure to provide efficient, personalized 24/7 customer service while enhancing their customers’ experience. To address these demands, businesses are deploying intelligent virtual assistants in the form of voice-enabled digital agents that save time for customers and human agents by offering effective customer self-service and improving customer satisfaction scores. Building a highly scalable intelligent virtual assistant with state-of-the-art speech recognition that learns from conversations with customers, detects customer preferences, makes personalized recommendations, and engages with customers in real time and with an expressive voice is not an easy task. NVIDIA’s Intelligent Virtual Assistant reference application, built with NVIDIA Riva and available with NVIDIA AI Enterprise, provides a flexible, fully customizable solution that seamlessly integrates with financial service workflows.

By joining this webinar with hands-on demos, you’ll learn how to:
  • Build a simple but complete voice-enabled, microservice-based intelligent virtual assistant for customer/employee workflows at contact centers
  • Customize speech recognition for your specific domain use case and speech synthesis for brand voice reflecting your company identity
  • Deploy, scale, and monitor a fleet of intelligent virtual assistants on a cloud for efficient, high-quality, 24/7 service

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    Meriem Bendris

    Senior Deep Learning Data Scientist, NVIDIA

    Meriem is a senior Deep Learning data scientist at NVIDIA, supporting partners delivering AI/deep learning solutions. Meriem area of expertise is large scale Natural Language Processing and conversational AI. Meriem holds a Ph.D. in signal and image from Telecom ParisTech, where she studied machine learning applied to audio-visual content.

    Gordana Neskovic

    Product Marketing, NVIDIA

    Gordana Neskovic is on the AI Enterprise product marketing team at NVIDIA, responsible for NVIDIA Riva. Prior to joining NVIDIA, Gordana held various product marketing, data scientist, AI architect, and engineering roles at VMware, Wells Fargo, Pinterest, SFO-ITT, and KLA-Tencor. She holds a Ph.D. from Santa Clara University and master’s and bachelor's degrees in electrical engineering from the University of Belgrade, Serbia.

    Prabhu Ramamoorthy

    CFA, FRM, CAIA, Customer/Partner Developer Relationship Manager, NVIDIA

    Prabhu Ramamoorthy is the financial ecosystem partner manager at NVIDIA, where he focuses on ML/AI acceleration for financial services. Previously, he was head of technology of a margin software firm Dash Regtech, catering to leading investment banks and he served as a director at Big Four firm KPMG/EY, where he helped 100+ financial institutions over the last 10 years. Ramamoorthy holds an MBA from the University of Wisconsin-Madison and an undergraduate engineering degree from BITS-Pilani, one of the top engineering institutes in India. He is a CFA charterholder, financial risk manager, and chartered alternative investment analyst specializing in financial transformation use cases.

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    Webinar: Description here

    Date & Time: Wednesday, April 22, 2018