Applications of the future require a database that transcends historical paradigms. They require advanced in-database capabilities like Graph RAG, vector and full-text search without compromising on critical database properties of compliance, scale, and availability. In this talk, you'll learn how Spanner's native search and interoperable multi-model capabilities enable your developers to build intelligent, global applications on a single, zero-ETL (extract, transform, and load) data platform.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Companies in the fiercely competitive gaming landscape face constant pressure to create engaging and ever-evolving player experiences. Generative AI can help game developers craft more dynamic, personalized gameplay while reducing time to market. Major game studios are leveraging Google Cloud’s cutting-edge AI capabilities to create immersive player experiences, personalized chatbots, dynamic character interactions, and user-generated content. We’ll show you how you can use Google Kubernetes Engine to easily integrate gen AI with game servers.

Navigating the complex world of compliance can be daunting. Join us to discover how to simplify your compliance journey on Google Cloud, enabling you to build at scale while meeting stringent industry regulations with ease.

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.

Building AI solutions on Google Cloud? This session demystifies our AI infrastructure stack, from pretrained models like Gemini to the Vertex AI managed platform, and all the way down to DIY container runtimes and virtual machines (VMs). Learn how to choose the right level of abstraction for your AI and machine learning (ML) workloads, and leverage the full power of Google Cloud’s AI ecosystem.

AlloyDB for PostgreSQL is Google Cloud’s high-performance, PostgreSQL-compatible database service for your demanding online transaction processing (OLTP), hybrid transactional and analytical, and generative AI applications. In this session, we’ll cover what’s new with AlloyDB, including critical enterprise features across performance, availability, ease of use, and more. You’ll also learn how customers are quickly migrating to AlloyDB with Database Migration Service and how they’ve successfully scaled their workloads with AlloyDB, saving money while doing so.

Build, deploy, and monetize AI agents on Google Cloud. This session covers the full lifecycle — development on Vertex AI, packaging, publishing, and commercialization on Google Cloud Marketplace, deployment on GKE etc., and customer access, including via Google Agentspace. We'll demonstrate leveraging the Google Cloud partner ecosystem to build enterprise-grade agents.

Moving mission-critical applications to the cloud in a regulated industry? In this session, experts from CME Group share a roadmap for achieving operational resilience on Google Cloud. Learn how to implement enterprise-scale observability, proactively troubleshoot issues, and enhance reliability while meeting stringent compliance requirements. Leave equipped with practical knowledge and tools to ensure operational excellence for your critical applications.

Join this session for a discussion on how Replit is using Claude on Google Cloud's Vertex AI to transform software development. Learn how Replit enables anyone to build and deploy production-ready applications from any device, what made Claude the ideal AI partner for their mission, and how this collaboration is empowering the next billion software creators globally.

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.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.

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.

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.

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.

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.