AI DevSummit 2025 + DeveloperWeek Leadership 2025: Full Schedule

9:30am PDT

OPEN Session: The Rise of Small Language Models: Unlocking Efficient & Secure AI

Wednesday May 28, 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

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 →

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

AI DevSummit

Additional Topics LLMs
Session Type OPEN Session
Tracks AI DevSummit, OPEN Session, Machine Learning / Models & Architectures (AI DevSummit), AI Security / Ethics / Governance & Compliance (AI DevSummit)
In-Person/Virtual In Person

1:00pm PDT

OPEN Session: From LLM to SLM - How and Where to Use Specialized Language Models

Wednesday May 28, 2025 1:00pm - 1:25pm PDT

AI DevSummit Expo Stage

Iddo Gino, Datawizz, CEO

LLMs have transformed many applications - putting advanced AI within any developers reach. This unlocked amazing progress - but also introduced a dependency on model providers and ballooning inference costs. This talk will discuss an alternative approach - fine tuning and deploying smaller, specialized language models to cut costs & improve performance. We'll discuss how to identify the right use cases for SLMs, evaluate their performance and deploy them effectively.

Speakers

Iddo Gino

CEO, Datawizz

Part of Forbes 30 Under 30 list, he's a 2017 Thiel Fellow. Previously, he was a Co-organizer of Hacking Gen Y. Iddo has been programming since he was a kid and continues to contribute to open-source projects. Originally from Haifa, Israel, Iddo is based in San Francisco, CA.

Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Expo Stage

AI DevSummit

Additional Topics LLMs
Session Type OPEN Session
Tracks OPEN Session, AI DevSummit
In-Person/Virtual In Person

1:30pm PDT

KEYNOTE (Leadership): Snowflake -- Harnessing the Power of Generative AI for Intelligent Applications

Wednesday May 28, 2025 1:30pm - 1:55pm PDT

DeveloperWeek Leadership Main Stage

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

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 May 28, 2025 1:30pm - 1:55pm PDT
DeveloperWeek Leadership Main Stage

5. KEYNOTES & FEATURED

Additional Topics AI Strategy and Leadership, Engineering Culture, Team Collaboration, Learning and Development, LLMs, Generative AI, Governance and Regulation, AI Ethics and Bias
Session Type OPEN Session
Tracks DeveloperWeek Leadership, Technical Leadership / Management & Teams (Managing People) (DeveloperWeek Leadership), Career Development: Impact & Change (DeveloperWeek Leadership), AI DevSummit, Machine Learning / Models & Architectures (AI DevSummit)
In-Person/Virtual In Person

1:30pm PDT

OPEN Session: Multimodal LLMs: Giving LLMs eyes and ears!

Wednesday May 28, 2025 1:30pm - 1:55pm PDT

DeveloperWeek Leadership Expo Stage

Bernett Orlando John Louis, Google, Senior ML Research Engineer

Understand how LLMs are trained to understand beyond text with images, audio and video.

Speakers

Bernett Orlando John Louis

Senior ML Research Engineer, Google

I work as a Senior ML Research SWE at Google working on Multimodal LLMs and visual agents. I completed my Bachelors in Computer Science & Engineering in 2017 and have worked at Google since then. I have been lead multiple efforts across Google from payments to lens to research. I... Read More →

Wednesday May 28, 2025 1:30pm - 1:55pm PDT
DeveloperWeek Leadership Expo Stage

AI DevSummit

Additional Topics LLMs
Session Type OPEN Session
Tracks AI DevSummit, DeveloperWeek Leadership, OPEN Session
In-Person/Virtual In Person

3:00pm PDT

OPEN Session: The Road to Use OpenTelemetry for LLM Observability

Wednesday May 28, 2025 3:00pm - 3:25pm PDT

AI DevSummit Expo Stage

Nir Gazit, Traceloop, CEO

If 2024 is the year of LLMs, then 2025 will be the year Agents. With the rise MCP, A2A and numerous other protocols, the need to monitor and comprehend their behaviors intensifies.

Observability plays a crucial role in this context. It involves the systematic collection and analysis of data to enhance LLM performance, identify and correct biases, troubleshoot issues, and ensure AI systems are both reliable and trustworthy.

In this discussion, we will explore the concept of LLM observability in depth, focusing on how OpenTelemetry can fit into the world of LLM observability . Additionally, we will talk about challenges around modeling of prompts, completions, events, semantic conventions, and basically our path with the llm-sem-conv working group.

Speakers

Nir Gazit

CEO, Traceloop

CEO @ traceloop; ex-chief architect @ Fiverr, ex-tech lead @ Google; OpenTelemetry contributor

Wednesday May 28, 2025 3:00pm - 3:25pm PDT
AI DevSummit Expo Stage

AI DevSummit

Additional Topics LLMs
Session Type OPEN Session
Tracks Productizing AI (AI DevSummit), AI DevSummit, OPEN Session
In-Person/Virtual In Person

4:00pm PDT

KEYNOTE (AI): Scale AI -- Ignore Previous Instructions: Embracing AI Red Teaming

Wednesday May 28, 2025 4:00pm - 4:50pm PDT

AI DevSummit Main Stage

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

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

5. KEYNOTES & FEATURED

Additional Topics LLMs, AI Integration Strategy, Governance and Regulation
Session Type OPEN Session
Tracks OPEN Session, AI DevSummit, AI Security / Ethics / Governance & Compliance (AI DevSummit)
In-Person/Virtual In Person

9:30am PDT

PRO Session: Building Production Ready, Intelligent Agentic Systems with Dapr Agents

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

AI DevSummit Main Stage

Mark Fussell, Diagrid, CEO
Yaron Schneider, Diagrid, Co-Founder / CTO

As developers push the boundaries of AI-driven automation, the challenge of orchestrating and managing autonomous agents at scale becomes increasingly complex. Dapr Agents is an open-source framework that dramatically lowers the creation of production ready agentic systems, powered by the CNCF Dapr's (dapr.io) distributed application runtime, used by thousands of enterprises today in mission critical services. By combining LLM-driven reasoning with Dapr’s virtual actor model, pub/sub messaging, and stateful workflows, Dapr Agents enables developers to build intelligent, scalable, and fault-tolerant multi-agent systems.

This talk will provide a deep dive into Dapr Agents, demonstrating how it facilitates structured LLM interactions, tool selection, memory retention, and event-driven communication. We'll explore practical use cases, from task automation to collaborative agentic workflows, and discuss best practices for designing real world, robust agent-based architectures. We will also compare different agentic frameworks in use today and show how many of them only address a few of the requirements needed to go into production environments. Attendees will gain hands-on insights into implementing Dapr Agents for real-world applications, optimizing performance, and seamlessly integrating with existing cloud-native infrastructures.

If you're interested in building intelligent, scalable, and resilient agentic systems, this session will equip you with the knowledge to easily build these.

Speakers

Mark Fussell

CEO, Diagrid

CEO of Diagrid, a developer focused startup. Leader with proven track record of building innovative computing platforms, running large scale, cloud services, building OSS communities and starting new businesses.

Yaron Schneider

Co-Founder / CTO, Diagrid

Yaron co-created the CNCF projects Dapr and KEDA while at Microsoft and led the engineering architecture for serverless container platforms that run at scale using open source technologies. Yaron is an avid lover of open source tech and distributed systems, and is a co-founder and... Read More →

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

AI DevSummit

Additional Topics Agents, LLMs, AI-driven Automation, AI in the Cloud, AI Product Strategy, AI Integration Strategy
Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (AI DevSummit), Productizing AI (AI DevSummit)
In-Person/Virtual In Person

10:00am PDT

PRO Session: What’s Different About LLM Applications

Thursday May 29, 2025 10:00am - 10:25am PDT

AI DevSummit Main Stage

Nuno Campos, LangChain, Founding Engineer

This talk identifies the three key things that make LLM applications different from previous software: latency, versatility and flakiness. LLMs are orders of magnitude slower than we were used to. The outputs of LLM apps are also more variable, and prone to mistakes. And LLM apps can be taken by users into domains we the creators didn’t necessarily program into them or expect. I’ll show how we can use these 3 qualities to our advantage, by learning to work with them, and so use them to build things that were simply impossible before.

Speakers

Nuno Campos

Founding Engineer, LangChain

I'm a founding software engineer at LangChain, creator of LangGraph, the leading LLM agent framework, and co-author of the O’Reilly book Learning LangChain. Previously I was a maintainer of other popular open source packages, such as Enzyme, and have worked for tech startups for... Read More →

Thursday May 29, 2025 10:00am - 10:25am PDT
AI DevSummit Main Stage

AI DevSummit

Additional Topics LLMs
Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (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