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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Subject: Machine Learning / Models & Architectures (AI DevSummit) clear filter
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Wednesday, June 4
 

9:30am PDT

[Virtual] OPEN Session: The Rise of Small Language Models: Unlocking Efficient & Secure AI
Wednesday June 4, 2025 9:30am - 9:55am PDT
Shrinath Thube, IBM, Software Developer
Vaibhav Tupe, Equinix, Technology Lead


As AI adoption grows, the need for efficient, cost-effective, and privacy-conscious solutions has never been greater. Small Language Models (SLMs) are emerging as a powerful alternative to resource-intensive Large Language Models (LLMs), addressing challenges like high computational costs, latency, and environmental impact while also enhancing security and compliance.

This session will explore the evolution of small language models, covering their training, fine-tuning, and deployment for key NLP tasks such as text generation, summarization, and question-answering. We will also examine the security implications of using SLMs, including on-device processing for data privacy, reducing attack surfaces, mitigating prompt injection risks, and ensuring robust model governance. Techniques like model distillation, quantization, and retrieval-augmented generation (RAG) will be discussed in the context of optimizing both performance and security.

Attendees will gain insights into leading open-source models like Mistral, Gemma, Phi, and IBM Granite, learning how to harness them for real-world applications while implementing best practices for AI security and compliance. We will also discuss strategies for integrating SLMs into enterprise environments, edge computing, and secure on-premise AI deployments to achieve scalable, efficient, and trustworthy AI solutions.
Speakers
avatar for Shrinath Thube

Shrinath Thube

Software Developer, IBM
IEEE Senior Member | Software Developer, IBM | Technology Advisory Board MemberShrinath Thube is a Software Developer at IBM with 8+ years of experience in security, cloud, microservices, observability. An IEEE Senior Member, he is part of the IEEE CISOSE 2025 Organizing Committee... Read More →
avatar for Vaibhav Tupe

Vaibhav Tupe

Technology Lead, Equinix
Vaibhav Tupe is a distinguished Technology Advisory Board Member and Engineering Leader specializing in cybersecurity, cloud, and AI-ready data center infrastructure. With over 13 years of experience, he currently serves as a Technology Leader at Equinix USA, where he drives high-performance... Read More →
Wednesday June 4, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage

11:00am PDT

[Virtual] PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday June 4, 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, conference chair of the LF AI & Data Foundation, 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, JavaOne... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage

11:30am PDT

[Virtual] PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?
Wednesday June 4, 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 June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Main Stage

12:00pm PDT

[Virtual] PRO Session: The Next Frontier in AI Development: Why Agent Experience (AX) Matters
Wednesday June 4, 2025 12:00pm - 12:50pm PDT
Dana Lawson, Netlify, CTO
Julianna Lamb, Stytch, Co-founder and CTO
Aiden Ba, Million.js, Founder
Sean Roberts, Netlify, Distinguished Engineer


Agent experience (AX) is the holistic experience AI agents will have as the user of a product or platform. AI agents are reshaping software development, but today’s developer tools and platforms weren't built for them. For AI agents to truly be effective, we need to craft our products with AX in mind. How do we design platforms, APIs, and workflows that help AI agents operate effectively? While DX optimized tools for humans, AX challenges us to rethink systems for AI-first development.
This panel brings together experts in AI infrastructure, developer tooling, and LLMs to discuss:
-Introduction to Agent Experience (AX)
-The current limitations of AI agents when building, deploying, and iterating software.
-How platforms might need to evolve to support AI-native workflows.
-The tensions between human-driven and AI-driven development—and what collaboration could look like.
-The early signs of AX in today’s AI-powered development landscape.
Speakers
avatar for Aiden Ba

Aiden Ba

Founder, Million.js
avatar for Julianna Lamb

Julianna Lamb

Co-founder and CTO, Stytch
avatar for Dana Lawson

Dana Lawson

CTO, Netlify
avatar for Sean Roberts

Sean Roberts

Distinguished engineer, Netlify
Wednesday June 4, 2025 12:00pm - 12:50pm PDT
VIRTUAL AI DevSummit Main Stage

1:30pm PDT

[Virtual] KEYNOTE (Leadership): Snowflake -- Harnessing the Power of Generative AI for Intelligent Applications
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
Shivali Naik, Snowflake, Data and Technology Enthusiast

Generative AI is transforming industries by enabling businesses to create content, automate decision-making, and enhance user experiences. But how can organizations effectively build and deploy AI-powered solutions while maintaining security, efficiency, and scalability?

In this session, we will explore the fundamentals of Generative AI models, their real-world applications, and how they can be leveraged to drive innovation.

🔹 Key Takeaways:
✅ Understanding Generative AI models and their capabilities
✅ How to implement LLMs for text generation, summarization, and automation
✅ Building Retrieval-Augmented Generation (RAG) workflows for AI-driven insights
✅ Best practices for AI model governance, optimization, and ethical considerations
Speakers
avatar for Shivali Naik

Shivali Naik

Data and Technology Enthusiast, Snowflake
I'm Shivali Naik, a Solutions Architect with a passion for data engineering and cloud tech. With over two years of experience, I love tackling tough problems and optimizing data workflows to help businesses thrive. I’m a lifelong learner, always sharing insights on tech blogs and... Read More →
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
VIRTUAL DeveloperWeek Leadership Main Stage

4:00pm PDT

[Virtual] OPEN Session: AI Cloud Advisor: Applying Domain-Specific Intelligence for Scalable Cloud Optimization
Wednesday June 4, 2025 4:00pm - 4:25pm PDT
Sumit Bhatnagar, Vice President - Software Engineering
Roshan Mahant, LaunchIT Corp, System Architect


This talk will explore the architecture and real-world deployment of AI Cloud Advisor — a custom-trained AI assistant built to optimize multi-cloud environments using Natural Language Processing (NLP), Reinforcement Learning (RL), and Retrieval-Augmented Generation (RAG). Unlike general-purpose models, AI Cloud Advisor is engineered for live, production-ready decision support across AWS, Azure, and GCP. The session will cover the technical challenges and solutions involved in unifying multiple ML paradigms for actionable, contextual insights that have driven up to 69% cloud cost savings and a 50% reduction in troubleshooting time. Ideal for ML engineers and DevOps leaders. 
Speakers
avatar for Sumit Bhatnagar

Sumit Bhatnagar

Creator, AI Cloud Advisor
Sumit Bhatnagar is an experienced engineering leader and AI strategist with 18+ years of experience in building cloud-native systems. He is the creator of AI Cloud Advisor, a real-time AI assistant for optimizing cloud workloads and architectures. Sumit is a member of the Forbes Technology... Read More →
avatar for Roshan Mahant

Roshan Mahant

System Architect, LaunchIT Corp
This talk will explore the architecture and real-world deployment of AI Cloud Advisor — a custom-trained AI assistant built to optimize multi-cloud environments using Natural Language Processing (NLP), Reinforcement Learning (RL), and Retrieval-Augmented Generation (RAG). Unlike... Read More →
Wednesday June 4, 2025 4:00pm - 4:25pm PDT
VIRTUAL AI DevSummit Expo Stage
 

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