Live, end-to-end demonstration of Firebase Studio and Gemini Code Assist, taking an idea from a natural language prompt to a production-ready application. Includes collaboration on features and architecture, full-stack code generation, deployment, and a live URL.

Janina will share her hands-on experiment of building a reinforcement learning agent in just eight hours with the help of generative AI. She’ll walk through the tools, challenges, and lessons learned, demonstrating what’s possible when curiosity meets experimentation and AI supports learning.

When signal drops, so does customer sentiment. That’s why today’s telecoms providers can no longer rely on yesterday’s data—they need insights in the moment.

Industry leader VMO2 is raising the bar by reimagining how data moves through the business—from network diagnostics to personalised offer delivery—by building a real-time foundation with Striim.

In this session, Vinay Pai, Head of Data Architecture at VMO2, will share how the company has transitioned from fragmented, on-premises systems to an intelligent, real-time data platform that enables proactive customer experiences and greater operational agility. Topics include:

- How VMO2 detects and resolves network issues before customers even pick up the phone

- Delivering truly personalised offers and dynamic pricing across digital touchpoints

- Accelerating new product delivery with a modular, event-driven architecture

- Key lessons from reducing churn and improving retention in a fiercely competitive market

This session is ideal for data leaders aiming to modernise legacy infrastructure, embed AI into operations, and deliver real-time customer experiences that make a tangible impact.

Apache Kafka is the simplest possible reliable, horizontally scalable low-latency storage system for commodity hardware. This is increasingly making it the backbone of analytic data collection stacks and event-bus like architectures. Critical systems like this require very reliable operations. Kafka is both stateful and distributed, so it has traditional sysadmin kind of problems and those that require pretty deep expertise. We will discuss the problems with CPU and disk capacity management as well as defining availability SLOs for a distributed stateful system. We will also show some of the ways in which the Google Cloud Managed Service for Apache Kafka and lenses.io helps in solving these problems in a demo.

SRE gets many customer tickets, some of which are answered in the many go links we have on our page that no one will read. RAG trains an LLm on our codebase, internal documentation, forums, issues queries, etc. These contextual resources help the customer get better answers to their questions faster, freeing up time on both the customer, dev, and SRE side. Additionally, this helps train our team more efficiently as well.

The path to understanding the data around Web Performance, its value and business decisions surrounding this topic can be long. It is hard to see the whole journey when you and your organization are at any particular step, but it can be helpful to understand where to go next.

Dr. Christelle Scharff, Professor of Computer Science at Pace University & Serial Entrepreneur - A U.S. Fulbright scholar with a Ph.D. in Symbolic AI, Dr. Scharff has been awarded grants from NSF, IBM, Microsoft, and Google. Peta-Gay Clarke, Strategy & Operations Executive and Global Programs Leader, Pace University - A former Google.org Global Programs Lead who directed a multi-million dollar portfolio of education and AI initiatives that reached over 150,000 women and youth.

Expert-led talks featuring four Angular Core Team speakers from Google: Alex Rickabaugh, Miles Malerba, Pawel Kozlowski, Doug Parker.

How do organizations move from predictive ML to impactful Generative AI? This session presents a strategic blueprint for this transition. It showcases how Google leverages Gemini and AI Agents to automate complex engineering workflows, achieving an 80% reduction in time spent on issue resolution. Gain a framework for fostering innovation, enabling teams, and driving measurable results with LLMs.

Session on building an open lakehouse using Apache Spark and Apache Iceberg.

Get direct insights into where AI is headed and how careers are evolving across engineering, product, and research.

Get direct insights into where AI is headed and how careers are evolving across engineering, product, and research.

Speaker session with Nasser Qadri.

Session led by Paige Bailey, DevRel Lead, GenAI at Google

Learn the building blocks of autonomous agents, including core architectures, planning methods, memory systems, and leading development frameworks.