Keynote
Monday, June 30
08:35 AM - 09:00 AM
Live in San Francisco
Less Details
This hands-on session will explore the process and the key challenges and opportunities in developing features for smart AI assistants in cars. As the automotive industry adopts AI, voice assistants must seamlessly integrate with the in-car experience while prioritizing safety, personalization, and usability. We will discuss product-focused challenges, including the integration of large language models, natural language understanding, and more. Additionally, we’ll explore strategies for continuous feature improvement. Attendees will gain practical insights into building innovative, user-centric in-car AI systems that enhance the driving experience and align with both business and customer needs.
In this talk, you will:
Olga serves as a Product Manager for NIO's in-vehicle AI system - the voice assistant NOMI. Relying upon her background in research, product localization, as well as speech dialog development, she enjoys creating advanced voice user experiences. For her, crafting a good technology is about understanding people who use it, and building blocks of a voice assistant (automatic speech recognition, natural language understanding, speech dialog development, text generation, speech synthesis and much more) are bricks needed to create a truly safe, meaningful and joyful car environment. Collaborating with UX researchers, UXUI designers, development teams and other stakeholders, she helps NIO find out which features are needed and how to best deliver them, leveraging different interfaces (VUI, GUI, emotional interface).
The Pop in Your Job – What drives you? Why do you love your job?
As a product manager for AI, I truly enjoy collaborating with both technical and non-technical stakeholders. I focus on transforming insights from UX research and user feedback into actionable features while monitoring user engagement to optimize product performance. I also stay up-to-date with AI market and AI governance developments. My goal is to deliver AI solutions that align with user needs and business objectives, driving innovation and maintaining a user-centric approach throughout the product lifecycle.