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

3:30pm PDT

OPEN Session: Enterprise GenAI: How to Make it Simple, Safe and Secure

Wednesday May 28, 2025 3:30pm - 3:55pm PDT

AI DevSummit Expo Stage

Debo Dutta, Nutanix, Chief AI Officer

Generative AI is reshaping industries, from healthcare to finance and beyond, offering transformative opportunities for innovation. However, deploying it effectively in enterprise settings requires navigating complex challenges around scalability and security. Debo Dutta, VP of Engineering & AI at Nutanix and founding member of MLCommons—an AI consortium advancing technology for global impact– shares his insights on integrating GenAI seamlessly while ensuring robust infrastructure and safeguarding model integrity. Debo delves into the tech stack essentials, including foundational models, fine-tuning frameworks, deployment tools, and governance systems needed to tailor to diverse business needs across industries.

Speakers

Debo Dutta

Chief AI Officer, Nutanix

As Chief AI Officer at Nutanix (NASDAQ: NTNX; $16.97B market cap), Debo leads AI driven operations and governance, AI and ML Infra and data engineering used by the likes of Wells Fargo, Toyota and Air Liquide. Outside of his work at Nutanix, Debo is a founding member and serves as... Read More →

Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Expo Stage

AI DevSummit

Additional Topics Generative AI, Governance and Regulation, AI Integration Strategy, AI Product Strategy
Session Type OPEN Session
Tracks AI DevSummit, OPEN Session, AI Leadership & Strategy (AI DevSummit), Frameworks / Tools & Applied AI (AI DevSummit)
In-Person/Virtual In Person

11:00am PDT

PRO Session: Dev Productivity Will Dip Before It Soars. The Pains and Gains of GenAI in Software Development

Thursday May 29, 2025 11:00am - 11:25am PDT

AI DevSummit Main Stage

Ben Lloyd Pearson, LinearB, Director, DevEx Strategy

GenAI is revolutionizing software development, offering new ways to automate repetitive tasks and improve collaboration. But with these opportunities come challenges: how do you integrate AI into your workflow without disrupting creativity or team dynamics? How do you avoid over-reliance on automation while maintaining quality and efficiency? In this session, explore practical approaches to using AI for tasks like code reviews, testing, and daily development, while overcoming the productivity dips and adoption hurdles that GenAI brings in 2025. Whether you’re optimizing your own workflow or contributing to team success, you’ll leave with actionable strategies to thrive in the evolving developer landscape.

Speakers

Ben Lloyd Pearson

Director, DevEx Strategy, LinearB

Ben hosts Dev Interrupted, a podcast and newsletter for engineering leaders, and is Director of DevEx Strategy at LinearB. Ben has spent the last decade working in platform engineering and developer advocacy to help teams improve workflows, foster internal and external communities... Read More →

Thursday May 29, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage

DeveloperWeek Leadership

Additional Topics Generative AI, AI Integration Strategy, Developer Career Paths, Learning and Development
Session Type PRO Session
Tracks DeveloperWeek Leadership, AI DevSummit
In-Person/Virtual In Person

2:00pm PDT

PRO Session: Decoding Enterprise AI for Devs: Choosing Between Private LLMs and Public Generative AI Services

Thursday May 29, 2025 2:00pm - 2:25pm PDT

AI DevSummit Main Stage

Shomron Jacob, Iterate.ai, Head of Applied Machine Learning & Platform

This AIDev Summit session will navigate an increasingly pivotal crossroads: the decision between investing in proprietary, custom-tailored Large Language Models (LLM) or capitalizing on the versatility and ease of public generative AI services.

The session will begin by demystifying the complexities of private LLMs. With domain-specific capabilities and enhanced data security, these models have faster customization and compliance with industry-specific regulations. Yet, they also pose challenges: a bigger investment, infrastructure requirements, and ongoing maintenance. These elements necessitate a thorough examination.

Next, the session will scrutinize public generative AI services, exploring the inherent benefits of these ready-to-use solutions. With their scalability, diverse applications, and lower upfront costs, they hold significant appeal. But they also come with their own set of considerations, such as data privacy, standardized performance, and reduced control over the model’s behavior.
With real-world examples, we will walk through how various organizations have approached this decision, the results they achieved, and the invaluable lessons learned.

The session will then go into a decision-making framework, with the purpose of enabling attendees to assess their options between private LLMs and public generative AI services more effectively.

Speakers

Shomron Jacob

Head of Applied Machine Learning & Platform, Iterate.ai

Shomron Jacob is the Head of Applied Machine Learning & Platform at Iterate.ai. Shomron began his career as a software engineer but soon found himself learning ML/AI and switched his professional direction to follow it. He lives in Silicon Valley.

Thursday May 29, 2025 2:00pm - 2:25pm PDT
AI DevSummit Main Stage

AI DevSummit