Is your organization truly capitalizing on the AI revolution or just scratching the surface? This track offers a comprehensive playbook for engineering and product leaders aiming to embed Generative AI into their software development lifecycle for maximum impact. We’ll guide you through the entire journey, from crafting an enterprise-ready strategy and fostering a culture of adoption to building the essential GenAI infrastructure and selecting the right AI copilots for your teams. You'll gain practical insights on navigating the critical security and compliance challenges of AI-accelerated development and leave with a clear vision for what's next, from today's best practices to tomorrow's autonomous systems. Join us to learn how to concretely boost productivity, empower your teams, and future-proof your organization in the age of AI.
From this track
Choosing Your AI Copilot: Maximizing Developer Productivity
The AI coding agent landscape evolves weekly. This talk compares today’s frontrunners, shows where each shines, and shares prompts, policies, and “rules templates” that turn code suggestions into production-quality output.
Sepehr Khosravi
Machine Learning Platform Engineer @Coinbase, Instructor @UC Berkeley - 1st Vibe Coding Course
Accelerating LLM-Driven Developer Productivity at Zoox
Over the past year, Zoox has invested in integrating Large Language Models (LLMs) into internal developer workflows through a company-wide initiative called Zoox Intelligence (ZI).
Amit Navindgi
Staff Software Engineer, Developer Experience @Zoox, Previously @Veritas Technologies
AI-Driven Productivity: From Idea to Impact
In this session you'll learn how product leaders turn GenAI enthusiasm into an enterprise-ready blueprint for real productivity gains.
Jyothi Nookula
Product Director @Netflix, AI Product Management Instructor, Previously @Meta, @Amazon, and @Etsy
Powering the Future: Building Your Genai Infrastructure Stack
Behind every productivity leap is a rock-solid platform. Go under the hood with Intuit’s GenOS team to see how vector stores, prompt management, RAG pipelines, and agent orchestration come together to serve ~100 million users.
Maggie (Kun) Hu
Group Product Manager for the Core AI Platform @Intuit
