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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Company: AI Integration Strategy clear filter
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Wednesday, May 28
 

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
avatar for Ravi Chandu Ummadisetti

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 →
avatar for Kordel France

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

11:00am PDT

PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday May 28, 2025 11:00am - 11:25am PDT
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, member of the Open AI Alliance, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, Shift, JavaOne, Joker... Read More →
Wednesday May 28, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage

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
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
avatar for Jiahui (Sophia) Bai

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

3:00pm PDT

KEYNOTE (AI): Informatica -- Enterprise AI Agents: From Hype to Real-World Impact—Practical Strategies for Success
Wednesday May 28, 2025 3:00pm - 3:25pm PDT
Sumeet Kumar Agrawal, Informatica, Vice President Product Management

AI agents are transforming how enterprises operate—but building them successfully requires more than just cutting-edge models. In this keynote, we’ll break down the practical strategies for developing AI agents that drive real business impact. You’ll learn how to identify the right use cases by balancing feasibility, ROI, and enterprise readiness. We’ll also cover key tooling considerations—what platforms, frameworks, and integrations matter most for scalability and efficiency. Through real-world industry examples, we’ll explore common pitfalls, best practices, and lessons learned from deploying AI agents in production. Whether you’re just getting started or scaling AI across your organization, this session will give you the hands-on insights to turn AI agent hype into measurable results. 
Speakers
avatar for Sumeet Kumar Agrawal

Sumeet Kumar Agrawal

Vice President Product Management, Informatica
Sumeet Agrawal is the Vice President of Products at Informatica, where he spearheads product management of innovative cloud-based technology products. With over 15 of experience in data engineering and product management, Sumeet has a proven track record of driving innovative solutions... Read More →
Wednesday May 28, 2025 3:00pm - 3:25pm PDT
AI DevSummit Main Stage

3:30pm PDT

OPEN Session: Enterprise GenAI: How to Make it Simple, Safe and Secure
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
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
avatar for Debo Dutta

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

3:30pm PDT

PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 

AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Main Stage

4:00pm PDT

KEYNOTE (AI): Scale AI -- Ignore Previous Instructions: Embracing AI Red Teaming
Wednesday May 28, 2025 4:00pm - 4:50pm PDT
David Campbell, Scale AI, AI Risk Security Platform Lead

In this talk, we will explore the journey of Red Teaming from its origins to its transformation into AI Red Teaming, highlighting its pivotal role in shaping the future of Large Language Models (LLMs) and beyond. Drawing from my firsthand experiences developing and deploying the largest generative red teaming platform to date, I will share insightful antidotes and real-world examples. We will explore how adversarial red teaming fortifies AI applications at every layer—protecting platforms, businesses, and consumers. This includes safeguarding the external application interface, reinforcing LLM guardrails, and enhancing the security of the LLMs' internal algorithms. Join me as we uncover the critical importance of adversarial strategies in securing the AI landscape. 
Speakers
avatar for David Campbell

David Campbell

AI Risk Security Platform Lead, Scale AI
David Campbell is a seasoned technology leader with nearly 20 years of experience in Silicon Valley's startup ecosystem, now spearheading Responsible AI initiatives at Scale AI. As the Lead AI Risk Engineer, David has been pivotal in developing a cutting-edge AI Red Teaming platform... Read More →
Wednesday May 28, 2025 4:00pm - 4:50pm PDT
AI DevSummit Main Stage
 

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