Discover how Nokia tackled the challenge of industrializing at scale and modernizing its infrastructure services with AI/GenAI. For decision-makers seeking bold AI adoption, this is a firsthand look at reshaping an organization with AI that delivers ROI. Learn how GenAI-infused runbooks enhance and optimize operations, increase business continuity, and unlock new revenue streams. This session outlines the journey, strategic choices, and a path that leads to breakthroughs that turn AI into real business impact.

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 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!

Discover how to combine generative AI with knowledge graphs to create AI systems that understand causation and drive actionable insights. Through live demos, DoiT will explore how Spanner Graph enables long-term reasoning capabilities, moving beyond descriptive analytics to prescriptive AI that generates and adapts action plans. Discover patterns and strategies to build AI systems that go beyond “What happened?” to guide organizations toward their goals. Join DoiT for an inspirational talk to create better and more trustworthy AI recommendations.

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.

Successful AI transformation requires more than technology. Discover how 66degrees’ Enterprise AI Blueprint has empowered organizations across industries to achieve measurable business outcomes with AI on Google Cloud. We’ll share effective strategies and methods for building a strong technical foundation, democratizing data and AI access through data supply chains, and deploying AI and agentic AI solutions across your business that drive return on investment (ROI) by focusing on revenue-enhancing customer experiences and operational cost savings.

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.

Discover the latest breakthroughs in Cloud Storage. This executive session provides a high-level overview of the latest object, block, file storage, and backup and recovery solutions. Gain insights into our cutting-edge storage technologies and learn how they can optimize your infrastructure, reduce costs, and enhance your data management strategy. Don’t miss this opportunity to learn directly from Google executives about the future of storage. This session is a must for IT decision-makers seeking a competitive edge.

Explore the journey behind building the McKinsey Value Intelligence Assistant, bringing AI powered curation and insights to key business leaders by integrating dozens of datasets, filings and earnings call transcripts from 50K global companies. Gain insights into overcoming challenges in system architecture, data security, and real-time analytics to create a robust, cloud-native data intelligence platform with a small team in a short period time and the resulting business impact!

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.

Gain unprecedented visibility into AI applications and threats with Palo Alto Networks AI-Runtime, now easily deployed with Google Packet Mirroring/Intercept. This session reveals how this powerful combination analyzes network traffic to discover both legitimate and malicious uses of AI, enabling proactive threat detection and rapid response. Learn how to simplify deployment, improve security posture, and stay ahead of the evolving AI threat landscape.

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.

Introducing Google’s next-generation global network that powers Google Cloud and our multibillion user apps like Search, YouTube, Google Maps, and more. Learn about the groundbreaking technologies and the design principles of "exponential scalability,” “beyond-NINEs reliability,” “fine-grained programmability”, and “from automation to autonomy” that have guided our next-generation architecture. Discover how you can leverage these innovations to transform your enterprise connectivity and respond to the dramatic demands of AI–powered services.

Scaling Google Kubernetes Engine (GKE) effectively can be complex. This session dives into the challenges and solutions for managing GKE at scale, from cost optimization and security to AI workloads. Learn how enterprises like Dun & Bradstreet leverage GKE as a secure and scalable platform for their generative AI initiatives.

This session will examine the evolution of computing infrastructure, from its transformation for internet service delivery to the modern-day revolution driven by genAI. Google Fellow and VP of Engineering Amin Vahdat explores the design principles behind scale-out architectures and the shift towards specialized hardware, high-bandwidth networks, liquid cooling and advanced memory technologies necessitated by genAI. Taken together, these shifts promise to render next-generation unrecognizable relative to today’s conventional wisdom with orders of magnitude improvement in compute capacity, scalability, and power efficiency

In this session learn about performance optimizations for PyTorch on Google Cloud accelerators using OpenXLA. These models are powerful but can be disrupted by resource failures. This talk also explores strategies for achieving greater resiliency when running PyTorch on GPUs, focusing on fault tolerance, checkpointing, and distributed training. Learn how to leverage open source tools to minimize downtime and ensure your deep learning workloads run smoothly.

Leveraging years of experience building internal platforms at Google, this session offers actionable insights for Google Cloud customers on creating effective development ecosystems. Learn how to prioritize safety, efficiency, and reliability through the interplay of platform engineering, feature development, and Site Reliability Engineering (SRE). Whether you’re a seasoned Google Cloud user or new to platform engineering, this talk can help you optimize software delivery, operations, and achieve your business goals.

Join experts from Dun & Bradstreet, Home Depot, and Snap Inc. for a discussion on the future of observability and platform engineering. This session explores the current state of the industry and dives deep into the top five predictions for the years to come. Gain valuable insights into emerging trends and prepare your organization for the next evolution of observability.

Ready to take your Day 2 operations to the next level? This session is your one-stop shop for mastering Day 2 ops in 2025. We’ll cover everything you need to know, such as leveraging observability and AI agents for DevOps use cases, building application-centric observability, and optimizing for cost and utilization on Google Cloud. This roundup session explores a variety of products and updates in the Day 2 space, giving you the tools and knowledge to supercharge your operational efficiency and drive innovation.

This hands-on lab equips you with the essential skills to manage and automate your infrastructure using Terraform. Learn to define and provision infrastructure resources across various providers using HashiCorp Configuration Language (HCL). Explore core concepts like resource dependencies and understand how to safely build, change, and destroy infrastructure using Terraform's declarative approach. This hands-on experience will empower you to streamline deployments, enhance consistency, and improve overall infrastructure management efficiency.

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!

Mayo Clinic Platform (MCP) will share their experience building an Internal Developer Platform (IDP) and how it has significantly accelerated developer onboarding and deployment to their network, including the Mayo Clinic Care Network (MCCN) when hosted. This platform has been a key driver in rapidly delivering innovation, which has historically been challenging in healthcare. Eviden played a crucial role as a key partner in the initial development, and MCP is progressively taking on more internal ownership to support future scaling and growth.

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Learn how to run high-throughput and low-latency inference on Google Cloud to maximize price-performance on TPUs and GPUs, leveraging JetStream and vLLM.

Having difficulty translating desired outcomes into optimal cloud architecture for your apps? Join the session to learn about Application Design Center and its integration with Gemini Cloud Assist. We will showcase how it helps platform engineers and application architects translate ideas into deployable applications with unprecedented speed and simplicity. Explore with us its intuitive interface for designing, customizing, and deploying applications on Google Cloud with AI assistance, and leave with practical skills and tips for your next project.

Discover the power of Google Cloud’s fully managed, horizontally scalable relational database service—Cloud Spanner. In this hands-on lab, you'll gain practical experience in performing essential administrative tasks within a Cloud Spanner instance. Learn how to create instances and databases, design tables, insert and modify data, and leverage the Google Cloud CLI and automation tools for efficient management.

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!