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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Subject: Data Access / Management & Operations (AI DevSummit) clear filter
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Wednesday, June 4
 

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

12:00pm PDT

[Virtual] OPEN Session: Efficient Serverless Inferencing: Scaling and Optimization
Wednesday June 4, 2025 12:00pm - 12:25pm PDT
Yann Léger, Koyeb, Co-Founder

Today, AI Infrastructure doesn’t rhyme with efficiency. Massive investments are made in GPUs sold mainly by a single vendor and these GPUs end up underused due to poor software solutions.

This is not a fatality and we, as an industry, are working on increasing average utilization and increasing diversity of accelerators. I’ll walk you through the different technical solutions to implement Serverless Inferencing and the trade-offs, from the chips to the virtualization software through the storage layers.
Speakers
avatar for Yann Léger

Yann Léger

Co-Founder, Koyeb
Yann Leger is co-founder of Koyeb, a serverless platform for AI workloads, and spent the last 12 years building large-scale cloud service providers from scratch.Passionate about cloud computing, he has a deep understanding of the underlying infrastructure, from data centers to the... Read More →
Wednesday June 4, 2025 12:00pm - 12:25pm PDT
VIRTUAL DeveloperWeek Leadership 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

1:00pm PDT

[Virtual] KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.


Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage

2:00pm PDT

[Virtual] OPEN Session: Evolving Databricks’ Kubernetes Infrastructure to Scale AI Workloads via Principled Platform Abstrac
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
Sourav Khandelwal, Databricks, Software Engineer

In the age of large-scale AI—where workloads like LLM model serving and Retrieval-Augmented Generation (RAG) demand massive compute capacity on short notice—efficient, reliable, and self-service infrastructure is essential. At Databricks, we faced the challenge of orchestrating a rapidly growing fleet of Kubernetes clusters spanning multiple clouds, regions, and use cases to power AI-driven solutions. The result was a patchwork of manual processes that were both costly in engineering hours and prone to human error.

In this session, you’ll learn how at Databricks, we overcame these challenges by building principled platform abstractions—clean, self-serve interfaces that application teams can use to provision, configure, and manage their Kubernetes clusters in a standardized, automated way. We’ll detail our journey from fragmented workflows to a scalable infrastructure platform that underpins products such as LLM model serving and RAG, allowing for quick, repeatable scale-out of AI-driven workloads.

We’ll also share the hard lessons learned, including the trade-offs between flexibility and uniformity, as well as strategies for ensuring consistent cluster management patterns across diverse environments. By highlighting how these platform abstractions free up engineering resources and streamline high-demand AI use cases, we’ll showcase how this approach accelerates product development cycles while simplifying day-to-day operations.
Speakers
avatar for Sourav Khandelwal

Sourav Khandelwal

Software Engineer, Databricks
I am a seasoned software engineer with over 12 years of experience in designing and managing large-scale platforms in cloud-native environments. At Databricks, I have led and contributed to several innovative projects that have scaled and automated our Kubernetes Compute Platform... Read More →
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL DeveloperWeek Leadership Expo Stage

3:30pm PDT

[Virtual] PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday June 4, 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 June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
 

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