Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

Platform engineering is revolutionizing software delivery. Discover how leading organizations leverage it to accelerate time to market and reduce operational overhead. This panel of experts will share real-world implementation strategies, lessons learned from common challenges, and insights into the future of this rapidly evolving field. Together, we’ll also explore new research findings on best practices and the key pillars for successful platform engineering adoption. Join the session to gain actionable strategies to enhance the developer experience, foster collaboration, and attract top talent to your team.

As GenAI grows more sophisticated, it's ever more important to ensure responsible AI. Learn how Priceline integrates guardrails to provide an additional layer of safety and control, effectively managing LLM outputs while maintaining ethical AI practices.

The explosive growth of artificial intelligence demands a paradigm shift in how we build and power its infrastructure. Join Urs Hölzle, Google Fellow, and Parthasarathy Ranganathan, VP, Engineering Fellow at Google Cloud, for a fireside chat exploring the critical intersection of intelligent infrastructure and sustainable energy.

They will delve into the challenges and opportunities of scaling AI, from the hardware powering massive models to the energy sources that fuel them. Discover how innovative approaches to infrastructure design and energy efficiency are shaping the future of AI, 25 years of cloud infrastructure design at Google, and what is coming for the next 25 years.

Are you an Amazon Web Services (AWS) developer exploring Google Cloud for the first time, or looking to deepen your multi-cloud skills? Join us for a whirlwind tour exploring the ins and outs of Google Cloud, from resource and access management, to networking and SDKs. We’ll cover Google Cloud’s framework for hyperscaler migrations. Then, we will demonstrate migrating an AWS application to Google Kubernetes Engine (GKE) and Cloud SQL, including Database Migration Service (DMS), GKE cluster creation, container image migration, and CI/CD. You'll leave with a core understanding of how Google Cloud works, key similarities and differences with AWS, and resources to get started.

Take control of your Google Cloud costs. This session provides lean IT teams with essential techniques to optimize cloud spend, maximize budget, and align with business goals.

Achieve compliant collaboration with Google Workspace and Gemini for Google Workspace. This session explores how Google's suite of tools can help regulated customers meet their compliance needs with rigorous industry certifications (HIPAA, SOC, ISO). In addition, customers will share how using Workspace helps them to meet new executive orders and regulatory requirements to retain government and defense customers at a lower cost and with ease.

Explore a future where AI agents from different platforms work together seamlessly. This session focuses on Salesforce and Google Cloud's partnership to develop a standardized approach for multi-agent communication and collaboration. Learn how agent interoperability between Salesforce Agentforce and Google Conversational Agents can handle complex customer interactions, ensuring smooth coordination. Join us to discover the latest advancements that enhance productivity and efficiency.

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.

Master modern enterprise storage on Google Cloud. Optimize cloud-based file storage for diverse workloads with Filestore and Google Cloud NetApp Volumes, fully managed Network File System [NFS) and Server Message Block (SMB) solutions balancing performance, availability, and cost. Explore new features for modern workloads and discover how NetApp Volumes handles Windows and petabyte-scale enterprise demands. This session is a must for IT leaders seeking to future-proof their storage strategy. Learn from BlackLine’s success.

Maximize performance with innovations in Compute Engine. Come learn about the latest innovations and portfolio additions from Compute Engine. Learn about new virtual machines (VMs) that are purpose-built to deliver leadership performance for all your workloads, including AI and machine learning (ML), databases, enterprise applications, and network and security compliances. Understand how to pick the right VM. We’ll cover product capabilities, best practices, and announce exciting new products targeted at making it easy for you to operate your Compute Engine environment.

Join Kieren Jameson, Director of Google Cloud Learning Content, and Andrey Tapekha, Chief Technology Officer of Deutsche Bank North America, to explore the transformative power of creating a culture of continuous learning in the age of AI. This session delves into how building – and validating – skills can be a cornerstone for both individual career growth and organizational advancement. And it’s better for your return on investment (ROI) too: 73% of leaders and decision-makers report a revenue increase since engaging with Google’s learning services.

Join us to explore the unique value exchange between Google Cloud and the independent software vendor (ISV) ecosystem, highlighting the programs, initiatives, and incentives that empower startups to scale faster and drive top-line growth. Featuring success stories from leading AI innovators, this session shows how startups can transform their go-to-market strategies by partnering with Google Cloud.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.

Mars Wrigley shares how Google Cloud Cortex Framework, in partnership with EPAM Systems, accelerated their marketing measurement strategies. By using pre-built data connectors and models, Mars quickly ingested media data into the cloud, merging it with sales data from a key retailer. This enabled real-time insights into how media investments drove sales lifts. The solution created a foundation for cloud-based innovation, helping assign value to marketing strategies that drive tangible business 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.

Curious about the future of media creation? Explore the latest announcements and capabilities for Imagen, Veo, and Lyria, Google’s suite of generative AI media tools. Witness demonstrations of new features and discover how they can revolutionize your creative workflows.

Transform your marketing with generative AI. Join Google Cloud, Helene Ambiana, and other experts to learn actionable strategies to elevate campaigns, supercharge content, and deepen customer engagement. Gain a competitive edge in today’s digital landscape.

Google Cloud’s Sensitive Data Protection service is a highly effective capability that can discover and classify sensitive data in your environment, helping to prevent data leakage. But it also has features useful to developers to minimize the exposure of confidential customer information when handling large volumes of sensitive data. By taking advantage of Sensitive Data Protection transformation techniques, you can de-identify sensitive information in a dataset through redaction, replacement, masking, tokenization, bucketing, date shifting, and time extraction. Developers retain the ability to test applications using functional data while still meeting security requirements put in place to protect customer information. By using pseudonymization, which is reversible and provides an easier path for troubleshooting, developers will have a more useful dataset for functional testing than they would if they used data anonymization. In this talk, you’ll learn how to use the Cloud Data Loss Prevention API (DLP API) of Sensitive Data Protection to inspect data for sensitive information and build an automated data transformation pipeline to create de-identified copies of your dataset.

Discover why Chubb, Munich Re, and Beazley, global leaders in cyber insurance, have partnered with Google Cloud to enhance the Risk Protection Program. Learn about our shared vision for added cyber insurance and how it translates to stronger protection and greater peace of mind for your business.

Discover how the platform approach of Vertex AI streamlines the entire process of experimenting with and productionizing models – from model selection and customization to deployment. Join this session for demonstrations and practical applications of the new SDK, including “Help me write” in Vertex AI Studio, Prompt Optimizer, evaluation tools, data connection, and search grounding capabilities.

Transform your developer experience by integrating Backstage with Google Cloud. Learn how to implement essential platform engineering practices applicable to any industry or size. Discover how you can achieve remarkable results by building a self-service developer platform on Backstage for your multi-tenant Google Kubernetes Engine infrastructure like HCA Healthcare did. Learn firsthand how they transformed developer onboarding: slashing the process from months to just minutes, improving developer satisfaction, and accelerating innovation at scale.

Presenting “one network,” a novel approach to simplify service integration and increase compliance across heterogeneous environments. Learn how using open source proxies provides a policy-oriented network architecture for consistent policy enforcement, service assembly, and secure-by-default deployments. One network also provides role separation across DevOps, SecOps, site reliability engineers, and app developers, streamlining operations and increasing efficiency. Attend this session to discover how one network can transform your approach to service delivery.

As attackers get more creative, organizations need to take a defense-in-depth approach to mitigate data exfiltration risks and reduce their attack surface. Join us in this session to learn about some of the most common attack vectors that can lead to data exfiltration, and discover which Google Cloud security controls can help foil these attacks.

Join Google Cloud's Yasmeen Ahmad, Deutsche Telekom's VP of Data & Architecture Ashutosh Mishra and Snap's Senior Engineering Leader Bo Chen for a fireside chat exploring the future of the data lakehouse. They'll discuss how evolving architectures can empower organizations to handle explosive data growth and leverage the full potential of AI. Gain valuable insights into building a future-proof data foundation that fuels innovation in 2025 and beyond.

Vertex AI offers a wide range of tools to train and tune large models. In this session, we'll guide you through power tools that Vertex AI offers to let you do everything from tune Gemini to build your own foundation model.