Empowering Your Product with Voice Interface: A.Hands-On NVIDIA RIVA Workshop
Join us for an immersive workshop, where you’ll learn how to unleash the potential of your product by incorporating a voice interface using NVIDIA RIVA. This interactive session will guide you through the process of voice-enabling using NVIDIA Riva, a GPU-accelerated speech AI—automatic speech recognition (ASR) and text-to-speech (TTS)—SDK for building fully customizable, real-time conversational AI pipelines and provide you with the knowledge, skills, and practical experience needed to successfully voice-enable your offerings.
Agenda and
timing
Introductions, goals, agenda
- Get acquainted with fellow product managers and instructors;
- Discuss workshop objectives and what you can expect to learn;
- Outline the agenda for the session.
Understanding the Need for NVIDIA Riva
- Explore why incorporating NVIDIA RIVA is essential for product managers;
- Understand the benefits and potential impact on user experience and product success.
Interactive Part 1: Use Cases Overview and Exploration
- Dive into various use cases where NVIDIA Riva can be implemented;
- Gain insights into how voice interfaces can enhance product functionality and user interaction.
Interactive Part 2: Exploring Attendees’ Real Use Cases
- Share and discuss real use cases brought by the workshop attendees;
- Analyze how NVIDIA RIVA can be applied to their specific product scenarios.
Interactive Part 3: Use Case Presentation
Participants present their use cases to the group, highlighting the potential benefits of integrating NVIDIA Riva.
Riva Implementation Process
- Learn about the step-by-step process of implementing NVIDIA Riva;
- Understand the key considerations, best practices, and potential challenges involved.
Riva Workshop Feedback
- Provide feedback on the workshop content, format, and overall experience;
- Share any additional questions or areas that require clarification.
Wrapping Up
- Summarize key takeaways from the workshop;
- Recap the importance of voice interface and NVIDIA RIVA for product managers.
Our speakers
Artemy Malkov, PhD
Artificial Intelligence and Machine Learning consultant and the CEO of Data Monsters since 2008. Deep understanding of complex systems, business analysis, applied research, nonlinear dynamics, statistical distributions, and ML/AI applications to retail, manufacturing, healthcare, advertising, document processing, conversational and recommender systems.
Tripti Singhal
Tripti Singhal is a Senior Solutions Architect on the NVIDIA Partner Network team in the Worldwide Field Organization at NVIDIA focusing on Conversational AI. She has been at NVIDIA for six years and received her bachelor's degree in Computer Science at University of California, Santa Barbara.
Zhansaya Zhapar
Riva technologies specialist responsible for the complete pipeline, from gathering data to deploying fine-tuned models. With a focus on ASR, accomplished multiple projects for languages, including Italian, Spanish, English, and diverse accents.
Max Pavlov
Building a bridge between AI technologies and business needs. Putting AI into production.
Dan Lesovodski
Managed 46 AI projects for large companies, including GE, Intel, AB InBev, and Boston Scientific. Author of the course “AI for managers” on Coursera.
Dennis Khvostionov
His expertise lies in the area of data science. Presently, he serves as the CTO for both Data Monsters, an AI company, and TopHap, a platform dedicated to real estate analytics, mapping, and data visualization. Before these roles, Dennis worked as the CTO of DGLogik, leading up to its acquisition by Acuity Brands in 2016. There, he developed practical tools for IoT data integration and visualization. He firmly believes in the value of data and focuses on creating tools to highlight the patterns within.
WHY CHOOSE US?
NVIDIA is the leading provider of GPUs for AI, and scientific research
An NVIDIA Elite service delivery partner with a portfolio of 100+ AI projects.
