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2020-Q1 2026-Q1

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Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.

Large AI, machine learning (ML), and analytics workloads can demand high-performance access to storage from thousands of nodes and to exabytes worth of data. Unblocking innovation requires having an efficient and sustainable storage infrastructure in place. In this session, you’ll learn about how customers can achieve this using Google Cloud Hyperdisk capabilities and offerings like Hyperdisk Storage Pools, Hyperdisk ML, Hyperdisk Throughput, and more. Learn from leading customers who have used Hyperdisk to achieve their business objectives.

Discover how Renault transformed automotive software development (SDV) with Google Cloud. By replacing physical prototypes with Android-based virtualization, they accelerated their SDV life cycle and moved to a cloud-first, iterative approach. Learn how they leverage Cloud Workstations, Gemini Code Assist, and a continuous integration and continuous testing (CI/CT) pipeline powered by Google Kubernetes Engine and GitLab to boost developer productivity and bring new features to market faster.

Step into the journey from startup to IPO with exclusive insights from Spotify. Discover how to navigate pivotal moments on the growth path, from evolving your organizational structure to tackling major architectural shifts that prepare you for an expanding customer base. Learn how cutting-edge AI can be your ally in streamlining operations, scaling with precision, and making data-driven decisions that set you apart.

Imagine a world where interacting with your data is as simple as chatting with a friend. Gemini in Looker makes this a reality, bringing the power of Google's most advanced AI models and agents directly to your BI workflows. This session explores how Gemini's genAI capabilities and Looker Agents are being integrated into Looker, empowering users to analyze data, build dashboards, and generate insights using natural language. Discover how this powerful combination unlocks new levels of productivity for BI professionals and business users alike.

Join us to explore the future of databases and AI, two technologies driving the AI transformation era. Discover state-of-the-art capabilities and learn how to leverage multimodal models, vector search, natural language, and text search in your applications. We’ll share practical techniques for taking these cutting-edge technologies from concept to production. Customers will share their real-world experiences using AlloyDB AI and Vertex AI to accelerate innovation and transform their businesses. Gain insights into their journeys and learn how to unlock the full potential of AI and databases for your own organization.

session
by Kan Yao (Walmart) , Neel Sisodraker (Realtor.com) , Holt Skinner (Google Cloud AI) , Tom Beyer (Google Cloud)

Want large language models (LLMs) that are truly knowledgeable and context-aware? This session explores the latest advancements in grounding, expanding the knowledge frontier for LLMs. You’ll learn about recent launches that allow you to ground your models with data across Google Search, curated industry data, Google Maps, and much more.

It’s no secret that AI is a driving force behind some of the most innovative and engaging entertainment experiences today, but do you know how the AI hidden behind the scenes comes together to captivate audiences and accelerate business? In this session, a panel of leading media & entertainment executives from The Weather Channel and The Sherlock Company will reveal their AI strategies and tactics on everything from content creation, enhancing viewer engagement, streamlining content delivery, overcoming challenges around data privacy, and more. Gain invaluable insights to help implement AI in your media strategy and position your organization for the future of entertainment.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Unlock the power of generative AI and data. Join experts from LlamaIndex and Google Cloud databases and learn how to seamlessly integrate LlamaIndex with AlloyDB and Cloud SQL for PostgreSQL, enabling your apps to reason, act on your data, and leverage the performance of Google Cloud. We’ll share real-world examples and code. Discover new possibilities for building advanced gen AI applications.

Managing massive deployments of accelerators for AI and high performance computing (HPC) workloads can be complex. This talk dives into running AI-optimized Google Kubernetes Engine (GKE) clusters that streamline infrastructure provisioning, workload orchestration, and ongoing operations for tens of thousands of accelerators. Learn how topology-aware scheduling, maintenance controls, and advanced networking capabilities enable ultralow latency and maximum performance by default for demanding workloads like AI pretraining, fine-tuning, inference, and HPC.

session
by Ignacio Garcia (EBMT) , Semih Duru (Google Cloud) , Perry Nightingale (WPP) , Tim Mason (Deutsche Bank) , Vasu Gupta (Google Cloud)

This session provides strategies for maximizing business value with generative AI. We cut through the hype and offer actionable insights for building and deploying advanced gen AI business capabilities. We'll delve into strategies that our customers use to get the most out of their AI investment, explore the essential foundations for scaling up, and share a vision for the future of business operations transformed by agentic AI.

session
by Pritha Mehra (United States Postal Service (USPS)) , Chris Niehaus (Google Cloud) , Amy Pechacek (Wisconsin Department of Workforce Development (DWD)) , Scott Melvin (NY Department of Labor)

Learn from public sector leaders about how they are innovating and improving the citizen experience with AI-powered tools and virtual agents. By applying technology to streamline processes, personalize interactions, and improve access to information, public sector agencies are able to more efficiently and effectively serve their citizens.

Join this session where Shopify engineers will discuss how they leverage the latest Google Kubernetes Engine (GKE) innovations to build robust, scalable platforms that not only handle everyday traffic with ease but also gracefully absorb unpredictable spikes during peak events like Black Friday and Cyber Monday. Learn key architectural patterns, smart infrastructure choices, and proven best practices. Discover how to optimize resource utilization, control costs, and deliver cost-effective performance every time.

Isomorphic Labs has created an AI drug design engine that reimagined traditional drug discovery approaches and allowed the company to go after some of the hardest disease targets. IsoLabs’ frontier AI research has yielded models that can accurately predict properties of proteins and other molecules and allow chemists to rationally design the next generation of medicines in-silico, in record time.

As the number of distributed and generative AI applications grows in your organization, so will the number of APIs – presenting management and governance challenges. This session introduces API Hub, a solution for unified API management. Learn how to gain centralized observability over your APIs, use the API Hub on-ramp framework to connect to any API gateway, help developers access shared components and standards to build compliant APIs faster, and discover and manage shadow APIs.

This session explores patterns for productionizing AI applications on Google Kubernetes Engine (GKE). Learn to leverage open source frameworks, cloud AI services, and readily available models to train, deploy, and scale with GKE. We’ll share real-world customer stories and best practices for productionizing AI solutions on GKE.

Dive into the world of serverless GPUs with Cloud Run. This talk explores how Cloud Run delivers on-demand GPUs with unprecedented flexibility and cost efficiency. Learn how you can achieve optimal performance and resource utilization with rapid autoscaling and scaling to zero. And discover how Cloud Run GPUs can help you build AI inference apps with open models, high-performance computing, graphics rendering, and much more.

Creating a business case to modernize technology has always been challenging. Hear how McKinsey is using a multi agent architecture to automate complex software development flows efficiently and cost-effectively. See how gen AI agent squads are foundational for scaling workforce talent and enhancing organizational capabilities. Learn best practices and see real-world examples of how organizations are using a multi-agent gen AI approach to achieve faster, cheaper, and better results.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Small teams often struggle to unlock the full potential of their data due to limited resources and a lack of specialized expertise. In this session, we’ll show you how BigQuery and Looker make advanced analytics accessible and easy for teams of any size. Learn how to seamlessly integrate, analyze, and visualize your data to drive data-driven decisions and achieve your business goals.

The first Google Axion virtual machine (VM), C4A, provides the best price performance for general purpose workloads in the industry, but don’t take it from us. We’ll share how Axion benchmarks for key workloads. Then, we’ll take a deeper look at leading customers using Google Axion VMs. They’ll discuss their use cases and how they architected their stack to run on Arm VMs, providing valuable tips for other customers considering a similar transition.