AI DevSummit 2025 + DeveloperWeek Leadership 2025: Full Schedule

9:30am PDT

KEYNOTE (AI): Toyota -- Toyota's Agentic Journey

Wednesday May 28, 2025 9:30am - 9:55am PDT

Ravi Chandu Ummadisetti, Toyota, Generative AI Architect
Kordel France Toyota, AI Architect

Toyota applies the Multi-Agentic framework, powered by Generative AI, to revolutionize car manufacturing, battery production, paint design, and anti-corrosion strategies. In manufacturing, AI-driven agents collaborate to optimize production lines. For battery production, Generative AI designs efficient layouts and predicts performance, enhancing durability and sustainability. In paint design, AI generates custom finishes with superior aesthetics and durability, while simulations ensure precision and reduce waste. Anti-corrosion efforts leverage AI to develop advanced coatings tailored to environmental and material conditions, extending vehicle lifespan and minimizing environmental impact.

Speakers

Ravi Chandu Ummadisetti

Generative AI Architect, Toyota

Ravi Chandu Bio (Generative AI Architect): Ravi Chandu Ummadisetti is a distinguished Generative AI Architect with over a decade of experience, known for his pivotal role in advancing AI initiatives at Toyota Motor North America. His expertise in AI/ML methodologies has driven significant... Read More →

Kordel France

AI Architect, Toyota

Kordel brings a diverse background of experiences in robotics and AI from both academia and industry. He has multiple patents in advanced sensor design and spent much of the past few years founding and building a successful sensor startup that enables the sense of smell for robotics... Read More →

Wednesday May 28, 2025 9:30am - 9:55am PDT
AI DevSummit Main Stage

5. KEYNOTES & FEATURED

Additional Topics Generative AI, Agents, AI Code Generation, Data Engineering, AI Integration Strategy, AI Product Strategy, AI-driven Automation
Session Type OPEN Session
Tracks OPEN Session, Productizing AI (AI DevSummit)
In-Person/Virtual In Person

11:30am PDT

PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?

Wednesday May 28, 2025 11:30am - 11:55am PDT

AI DevSummit Main Stage

Jiahui (Sophia) Bai, Meta, Data Scientist Lead

This talk explores the evolving role of AI-powered recommendation systems in shaping content discovery, moving beyond engagement-driven optimization to fostering meaningful exploration. Today’s recommendation algorithms are finely tuned to maximize user retention, often reinforcing content bubbles and favoring already-popular creators. While effective for keeping users engaged, this approach can limit exposure to new ideas, diverse voices, and serendipitous discovery—key elements that make digital platforms more enriching and dynamic.

We begin by defining the core challenges of AI-driven content recommendations: noisy engagement signals, over-reliance on short-term behavioral data, and algorithmic bias toward dominant content and creators. We explore how improving signal quality—by distinguishing between passive consumption and genuine interest—can lead to more personalized yet diverse recommendations. Next, we tackle the issue of democratizing reach, discussing algorithmic strategies that ensure small and emerging creators have a fair chance to break through without compromising user satisfaction.

The session will also cover rethinking success metrics for recommendation systems, moving beyond click-through rates and watch time to metrics that measure content diversity, long-term engagement, and user well-being. Finally, we will discuss the future of AI-driven discovery, including the role of Generative AI, hybrid human-AI curation, and serendipity-focused models in creating recommendation systems that inspire, inform, and surprise users—rather than just retaining them.

Speakers

Jiahui (Sophia) Bai

Data Scientist Lead, Meta

Sophia Bai is a Senior Data Scientist at Meta, specializing in AI-driven recommendation systems and product analytics. She has led key initiatives in improving signal quality, optimizing content discovery, and redesigning recommendation models to create more balanced and engaging... Read More →

Wednesday May 28, 2025 11:30am - 11:55am PDT
AI DevSummit Main Stage

AI DevSummit

Additional Topics Machine Learning, AI-driven Automation, AI Integration Strategy, Generative AI, AI Product Strategy, Data Engineering
Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (AI DevSummit), Machine Learning / Models & Architectures (AI DevSummit)
In-Person/Virtual In Person

9:30am PDT

OPEN Session: From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation

Thursday May 29, 2025 9:30am - 9:55am PDT

AI DevSummit Expo Stage

Abhai Pratap Singh, Amazon, Senior Product Manager-Technical

"From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation" explores the delicate balance between advancing AI capabilities and maintaining genuine user value. Drawing from experience leading Alexa's voice assistant development, this session reveals practical strategies for putting user needs at the center of AI product development. Learn how to avoid the trap of 'tech for tech's sake' while driving meaningful innovation. Through real-world examples from voice AI and multi-modal interactions, discover frameworks for evaluating AI features, measuring user impact, and making strategic decisions that enhance rather than complicate the user experience. Perfect for product leaders navigating the AI revolution.

Speakers

Abhai Pratap Singh

Senior Product Manager-Technical, Amazon

Abhai Pratap Singh is a Senior Product Manager-Technical at Amazon Alexa, where he leads strategic initiatives in voice AI technology. With 9 years of experience building AI-driven products used by millions, he specializes in creating human-centric AI experiences that balance innovation... Read More →

Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Expo Stage

AI DevSummit