Deutsche Bank's Cloud Centre of Excellence is shaping the cloud strategy, advising, supporting, and governing the migration of hundreds of applications to Google Cloud. With EPAM's assistance, we've identified pain points and improved the migration process, making it faster, more cost-effective, more consistent, and of higher quality, achieving a 70% reduction in design duration. Join us to learn practical steps to accelerate your own cloud migration journey.

This Session is hosted by a Google Cloud Next Sponsor.
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Cross-Cloud Network, built on Google’s planet-scale network, has transformed how organizations connect and secure workloads, users, and data across hybrid and multicloud networks. It simplifies complexity, strengthens security, and helps deliver faster business outcomes. Join this session to learn about new innovations in 2025 with the Cross-Cloud Network that allow you to secure and optimize AI and machine learning (ML) workloads, connect global enterprises, expand network security to cover all threat vectors as you connect distributed multicloud apps, and deliver web and media workloads.

SQL Server workloads powering mission-critical applications demand high availability and disaster recovery configurations from the get-go. Users can choose to leverage the business continuity and disaster recovery (BCDR) capabilities in Cloud SQL for SQL Server. In this session, we’ll cover the basics of BCDR with Cloud SQL for SQL Server. We’ll highlight the architectural patterns that are best suited for different types of workloads while leveraging the latest enterprise-ready Cloud SQL innovations.

Looking to rapidly migrate your VMware estate on-premises or elsewhere to a cloud-integrated, Google-operated VMware platform that delivers 99.99% (four nines) availability of cluster-level uptime, flexible node configurations, and deeply integrated networking, along with high-bandwidth and low-latency access to other Google Cloud services? Want all this with minimal disruption to your existing tools or team’s skill sets? Join this session to get a primer on Google Cloud VMware Engine and its latest, learn from a leading customer about their transformation journey, and get started today.

Want to run AI workloads that are both performant and sustainable? Join L’Oreal and Google Cloud as they reveal how L’Oreal leverages Google Cloud’s powerful suite of tools to gain unprecedented insights into the cost, performance, and carbon footprint of their AI models. This session showcases how L’Oreal measures, reports, and reduces their environmental impact on Google Cloud, offering practical strategies and actionable takeaways for anyone looking to optimize their cloud efficiency and environmental responsibility.

Is your business ready to embrace the software as a service (SaaS) revolution? Discover how Google Cloud can fast-track your SaaS journey. This session reveals how Google Cloud empowers you to scale your SaaS offerings, reduce time to market, and deliver exceptional customer experiences using a comprehensive toolbox with per-tenant controls, feature rollout management, and insightful monitoring. You’ll also learn from Avathon’s success story: how they leveraged these capabilities to conquer the complexities of SaaS management, automate tenant onboarding, and centralize operations.

Automation can help you migrate, coordinate and manage workloads in cloud environments in a simple and effective way, reducing complexity and operational costs. In this session we will cover: - How to increase speed and reduce errors as you migrate to Google Cloud - How Red Hat Ansible Automation Platform simplifies managing your Google Cloud infrastructure - Getting started automating Google Cloud cloud services with certified automation content for migration and management

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.

In today's rapidly evolving digital landscape, modernizing mainframe systems is crucial for maintaining competitive advantage. This joint solution explores the transformative potential of migrating data warehouse extracts to Google Cloud Platform (GCP) and BigQuery. Utilizing the flexible framework built, organizations can achieve a flexible, integrated solution that accelerates time to market, ensures accurate and timely real-time data for reporting and advanced analytics, and provides self-service access. This digital transformation not only empowers stakeholders with enhanced capabilities but also significantly improves the overall customer experience.

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.

Migration can be challenging, but Google Cloud Migration Center is here to help. From discovery and analysis of your applications to definitions and cost estimates of your desired future cloud state and migration execution, Google Cloud’s easy-to-use, self-service migration tools pave the way for a smooth, efficient, and low-risk cloud migration. Come view demos of the latest workload migration capabilities and learn how Chicago Mercantile Exchange (CME Group) leveraged them to migrate their complex application portfolio to Google Cloud.

Find out how leading customers have successfully done large-scale VMware migrations to Google Cloud. Join us in this exciting customer panel to learn directly from Google Cloud VMware Engine customers about how they’ve successfully completed their VMware transformation journeys.

Unlock the true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.

Agencies are applying cutting-edge technology to safeguard communities and resources, bolster emergency management, and streamline disaster response efforts. Learn how AI, predictive capabilities, real-time data analysis, and a modernized IT infrastructure can be used to build a more resilient future.

In this hands-on lab, you'll learn how to create a cross-region HTTP(S) load balancer that intelligently distributes traffic to instances in multiple regions. By setting up four Compute Engine instances across two regions, you'll configure the load balancer to ensure seamless traffic routing to the right instance. This lab will help you optimize application performance, improve availability, and enhance fault tolerance across geographically distributed systems.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

See a live demo on how Dialpad streamlines communications and extracts real-time insights from business conversations. Our Ai-powered customer communications platform seamlessly combines contact center and sales-related functionality with voice, video, and messaging, empowering organizations to build stronger customer relationships. Come see how features, such as Ai CSAT, Ai Recaps, and Ai Playbooks, can transform your business outcomes.

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.

The future of AI is at the edge and edge inferencing is transforming industries. The power of an AI-ready data center, connected to Google Cloud, optimizes edge AI by bringing AI processing closer to all types of data sources for unprecedented speed and efficiency, enabling real-time insights. Success relies on low latency and high-performance physical infrastructure; Equinix's global network of 260+ AI-ready data centers in 73 metros securely connects clouds to customers, partners, and service providers to accelerate AI deployments.

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.

Build & deploy with Google Cloud Deploy! This hands-on lab equips you to create delivery pipelines, deploy container images to Artifact Registry, and promote applications across GKE environments.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

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.

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.

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.

Join us to learn about migrating to Google Workspace. In this session, you’ll learn how to set up your new Workspace domain. We’ll guide you through how you can migrate your data to Workspace and set up essential workflows for your business. Plus, you’ll learn best practices for migrating to Workspace from customers and partners who’ve already taken the journey.

In this session, we’ll describe how Google Cloud Consulting and Professional Service teams have partnered with enterprise customers on their large-scale innovation, transformation, and migration journeys and accelerated the paths to their business objectives. We’ll cover a number of customer and partner success stories, transforming their business via large scale migration, NVIDIA GPU technologies and other AI infrastructure innovations.

Tired of building the same old software as a service (SaaS) features? AI and data agents are revolutionizing the SaaS landscape, and developers are at the forefront of this exciting shift. Imagine building applications that can autonomously learn, adapt, and execute complex tasks, all while providing a personalized user experience. This session equips you with the knowledge and tools to build the next generation of intelligent SaaS applications. Learn how leading companies are leveraging AI agents to automate workflows, personalize user interactions, and boost operational efficiency. Discover the latest trends in agent development, best practices for building agent-first applications, and the secrets to successful implementation. And leave with practical insights and a clear roadmap for harnessing the power of agentic AI to create truly innovative SaaS products.

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.

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.