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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Subject: Data Access / Management & Operations (AI DevSummit) clear filter
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Thursday, May 29
 

9:30am PDT

OPEN Session: From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation
Thursday May 29, 2025 9:30am - 9:55am PDT
Abhai Pratap Singh, Amazon, Senior Product Manager-Technical

"From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation" explores the delicate balance between advancing AI capabilities and maintaining genuine user value. Drawing from experience leading Alexa's voice assistant development, this session reveals practical strategies for putting user needs at the center of AI product development. Learn how to avoid the trap of 'tech for tech's sake' while driving meaningful innovation. Through real-world examples from voice AI and multi-modal interactions, discover frameworks for evaluating AI features, measuring user impact, and making strategic decisions that enhance rather than complicate the user experience. Perfect for product leaders navigating the AI revolution.
Speakers
avatar for Abhai Pratap Singh

Abhai Pratap Singh

Senior Product Manager-Technical, Amazon
Abhai Pratap Singh is a Senior Product Manager-Technical at Amazon Alexa, where he leads strategic initiatives in voice AI technology. With 9 years of experience building AI-driven products used by millions, he specializes in creating human-centric AI experiences that balance innovation... Read More →
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Expo Stage

11:30am PDT

OPEN Session: Efficient Serverless Inferencing: Scaling and Optimization
Thursday May 29, 2025 11:30am - 11:55am 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 →
Thursday May 29, 2025 11:30am - 11:55am PDT
AI DevSummit Expo Stage

1:30pm PDT

OPEN Session: Agents Are Coming - Is Your Platform Ready?
Thursday May 29, 2025 1:30pm - 1:55pm PDT
John McBride, Zuplo, Staff Engineer

In 2025, one of your fastest growing user bases will be AI Agents. They will autonomously interact with your system to extract data and perform operations. For some companies - this is a threat that needs to be controlled. For others, its an opportunity to allow customers to interact with your systems in a novel way.

In either case - you need to govern how agents interact with your fintech - you need APIs. APIs will determine what resources AI has access to, how it can access that data, and what it can do with it. Your API needs to be understandable by agents, have enough features so they can accomplish their tasks, and robust enough to handle automated traffic at scale.

In this workshop, Adrian will walk through how to build and manage AI Agent ready APIs.
Speakers
avatar for John McBride

John McBride

Staff Engineer, Zuplo
John McBride is an engineering leader, writer, and podcast host. He is current a Staff Engineer at Zuplo where he's heading up new AI and infrastructure development.He has previously worked on AI infrastructure at the Linux Foundation, AI/ML community tooling at OpenSauced, Linux... Read More →
Thursday May 29, 2025 1:30pm - 1:55pm PDT
AI DevSummit Expo Stage

2:30pm PDT

PRO Session: Building Robust Data Pipelines for Scalable Machine Learning
Thursday May 29, 2025 2:30pm - 2:55pm PDT
Rachita Naik, Lyft, Machine Learning Engineer

This session will provide a comprehensive, hands-on guide to designing efficient, production-ready data pipelines for machine learning model training. Tailored for engineers, ML practitioners, and architects, this talk will break down key technical aspects of data processing, feature management, and pipeline optimization at scale.
Key takeaways include -
1. Optimized Data Ingestion: Efficiently processing real-time and batch data from multiple sources while minimizing latency and ensuring smooth data flow for ML models.
2. Reusable & Scalable Features: Designing centralized feature stores that enable cross-model sharing, reduce redundancy, and support large-scale ML operations.
3. Robust Data Preprocessing: Implementing techniques to clean, transform, and structure raw data, ensuring high-quality inputs that improve model accuracy and efficiency.
4. Ensuring Data Consistency: Maintaining parity between offline training and real-time inference by preventing schema mismatches, data drift, and inconsistencies.
5. Proactive Monitoring & Debugging: Using automated tracking, anomaly detection, and logging to identify bottlenecks, optimize pipeline performance, and ensure data reliability.

This session will combine technical deep dives with real-world lessons from deploying ML pipelines at scale in rideshare applications. Whether you’re designing your first ML pipeline or optimizing existing workflows, you’ll walk away with practical strategies to enhance data efficiency, model reliability, and overall system performance.
Speakers
avatar for Rachita Naik

Rachita Naik

Machine Learning Engineer, Lyft
Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a distinguished graduate of Columbia University. With a strong foundation in AI and two years of professional experience, she is dedicated to creating transformative solutions that address complex, real-world challenges... Read More →
Thursday May 29, 2025 2:30pm - 2:55pm PDT
AI DevSummit Main Stage
 

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