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WEBINAR: Why Voice is Driving the Future of Auto
The auto industry has recognized consumers’ expectations for more connected and convenient in-car experiences. It’s therefore no surprise that the auto industry is leading the charge on innovation with voice AI. The presence of voice-enabled assistants in cars has increased from 37% of cars in 2012 to 55% in 2019. The auto-focused AI market is expected to exceed $10.7 billion globally by 2024. Are you ready for the future of connected vehicles?

This webinar will highlight the evolution of voice AI technologies and how the world’s leading automakers are building next-gen voice assistants while retaining control over their brand and user experiences. Learn about the most important things brands should keep in mind as they work on conversational interfaces.

This webinar will include:

-Essential insights into the current and future trends of voice AI in auto
-Top reasons why the auto industry is driving innovation with voice
-How companies like Daimler, Honda and Hyundai are already using voice AI
-What key features you should look for in a voice AI solution for your brand
-How Houndify is ‘Built for Auto’ with advanced voice AI and customizability


Mehul Patel - Mehul helps brands build voice enabled solutions across industries including auto.

Chris Wilson - Chris is the architect of SoundHound's natural language understanding system.

Feb 21, 2019 11:00 AM in Pacific Time (US and Canada)

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Mehul Patel
Houndify Product Management Lead @SoundHound Inc.
Mehul Patel is the Director of Product Management for the Houndify platform. He has 15+ years of expertise in applying AI and Machine Learning to improve productivity and business intelligence. At SoundHound, he works with our partners to build voice-enabled solutions for multiple industries, including auto.
Chris Wilson
Software Architect @SoundHound Inc.
Chris Wilson is the architect of the SoundHound natural language understanding system and has advanced degrees in math, computer systems engineering and computer science from Stanford. His expertise includes compilers, embedded software, interpreters, simulators, storage and networking devices, and operating systems.