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In this episode, Anastassia interviews Ariel Cai, a recent Stanford graduate specializing in voice AI who has joined a speech startup in Palo Alto Networks. Ariel shares insights on the development of voice assistant technology, the importance of large data sets and computer power for training AI models, and the potential impact of cultural variations on voice preferences. She also discusses the debate between proprietary and open models, and the applications of voice AI in various domains such as education and healthcare.

Ariel brings over a decade of experience crafting successful growth strategies for leading tech companies. Her work has led to global product launches used by millions. As a Stanford GSB fellow, Ariel further honed her leadership and entrepreneurial skills. Driven by a passion for innovation, Ariel is now at LMNT, where she's applying her expertise to bring their groundbreaking AI speech models to market.

Timestamps:

2:32 How to introduce voice AI in business.

3:50 Defining voice assistants and chatbots.

6:18 Understanding transformer architecture's impact on AI.

9:28 Building specialized text-to-speech models for various industries.

12:17 Exploring the potential of voice AI in healthcare.

23:55 Key trends in voice AI applications and development.

27:24 Benefits of voice AI in education for personalized learning.

AI Voice technologies offer significant transformational benefits for businesses, from customer care to education.

Connect with Ariel on LinkedIn.

Resources Mentioned:

Palo Alto Networks | Website

Khan Academy | Website

Open.AI GPT-4 | Website

character.ai | Website

Rabbit R1 | Website

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