Introducing the reimagined partner portal: your key to a more efficient Google Cloud partnership. Explore new features like Co-Sell and Services registration, Earnings Hub updates, and learn how to navigate this intuitive platform. Discover how these enhancements streamline your experience and maximize your partnership value
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In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.
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!
Calling all developers, DevOps, and SRE engineers: Join us to discuss observability best practices for Gen AI apps on Google Cloud. We'll explore tracing, monitoring, and logging for Gen AI. Share insights on TPU/GPU monitoring, log correlation, regulatory alignment, and data-driven insights to enhance your Gen AI deployments.
Learn how leading retailers accelerate business growth by transforming customer experiences with Google Cloud. Through in-depth enterprise case studies, discover proven strategies for unifying customer data, delivering personalized engagement at scale, and empowering teams with actionable insights. Join industry pioneers as they share their implementation journey, demonstrate measurable ROI across digital touchpoints, and reveal best practices for driving operational efficiency. Walk away with practical frameworks for accelerating your own digital commerce transformation.
Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image queries.
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!
Google's Data Cloud is a unified platform for the entire data lifecycle, from streaming with Managed Kafka, to ML feature creation in BigQuery, to global deployment via Bigtable. In this talk, we’ll give you a behind the scenes look at how Spotify's recommendation engine team uses Google's Data Cloud for their feature pipelines. Plus, we will demonstrate BigQuery AI Query Engine and how it streamlines feature development and testing. Finally, we'll explore new Bigtable capabilities that simplify application deployment and monitoring.
In today’s rapidly evolving business landscape, data is no longer just a back-office function – it’s the lifeblood of informed decision-making and competitive advantage. This session is designed to empower business decision-makers with the knowledge and strategies to become truly data-driven leaders in the age of disruption.
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.
Google Cloud’s Cross-Cloud Network delivers powerful, AI-powered network security to protect your cloud infrastructure from a wide variety of network threats. This session showcases the latest innovations, including advanced malware protection, domain name system [DNS) security, data loss prevention, network security posture controls, DDoS protection, web application protection, and a cloud-first mechanism to easily integrate third-party network security services.
Learn how Dun & Bradstreet, a leading provider of business decisioning data and analytics, supercharged their business with Google Cloud. You’ll learn how Dun & Bradstreet achieved a 95% decrease in data onboarding time and a 50% reduction in data latency, and how they unlocked new revenue streams with AI. Learn how they built an enterprise-grade data cloud, and new and innovative AI solutions. Join us to find out how your organization can leverage Dun & Bradstreet’s experience and learnings to achieve similar success in your own data analytics and AI journey.
In today's rapidly evolving technological landscape, enterprises face significant hurdles in developing and implementing mission-critical AI applications such as agentic or physical AI. This session will explore how organizations can harness the power of NVIDIA DGX Cloud on Google Cloud, a high-performance, fully-managed AI platform, to accelerate the next era of AI. Learn how to drive innovation in an increasingly competitive landscape, and achieve lower TCO.
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.
For partners looking to elevate their delivery game, experts will uncover the secrets to successful Google Cloud partner projects in this rapid-fire session. Learn how to navigate delivery governance with Google Cloud Consulting, tap into Google's deep technical expertise, and most importantly, keep customers delighted. We'll share real-world examples of how to optimize project preparation, ensure seamless collaboration, and ultimately drive exceptional customer satisfaction.
Redpanda, a leading Kafka API-compatible streaming platform, now supports storing topics in Apache Iceberg, seamlessly fusing low-latency streaming with data lakehouses using BigQuery and BigLake in GCP. Iceberg Topics eliminate complex & inefficient ETL between streams and tables, making real-time data instantly accessible for analysis in BigQuery This push-button integration eliminates the need for costly connectors or custom pipelines, enabling both simple and sophisticated SQL queries across streams and other datasets. By combining Redpanda and Iceberg, GCP customers gain a secure, scalable, and cost-effective solution that transforms their agility while reducing infrastructure and human capital costs.
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.
This session explores how cloud-native security, powered by Google Cloud, enables organizations to streamline operations, reduce complexity, and achieve better security outcomes with a lean team. Join us for a customer success story, partner insights, and a lively panel discussion featuring industry experts on building a future-proof Security Operations Center (SOC) with limited resources.
Startup developers, are you ready to build? In this hands-on workshop, you'll design and code a generative AI app using Gemini and Vertex AI. Through focused coding exercises, you'll master essential skills in prompt engineering, multimodal AI, and real-world implementation. Walk away with functional AI code—and the foundation to power your AI-driven future.
**Please bring your laptop to get the most out of this hands-on session**
Get a guided, hands-on experience with Google Cloud’s flagship cloud security solution. Learn how to detect cloud misconfigurations, find active threats, and use Security Command Center’s virtual red teaming to identify high-risk toxic combinations and attack paths that expose high-value cloud resources. Then see how to take action on security issues with built-in response capabilities. Learn why Security Command Center is the best security solution for Google Cloud environments.
Discover how AI-driven personalization and agentic architecture are helping revolutionize customer experiences and operations in financial services. In this insightful panel discussion with leadership from USAA and Deloitte, we'll explore the next generation of AI-enabled end-to-end data value chains and highlight some top trends that are reshaping today's technology organizations.
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.
Unleash the power of Gemini with Vertex AI Studio. This hands-on lab guides you through using Gemini for image analysis, prompt engineering, and conversational AI, all within a user-friendly interface. Learn to design prompts and generate content directly from the Google Cloud console.
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!
Ever wonder how Google Cloud supports billions of daily users worldwide? Dive into the world of Google’s cloud regions, global expansion, and data centers. This session unveils the innovative technology behind these modern marvels and the operational expertise that keeps them humming. Learn about our cutting-edge efficiency and state-of-the-art security. Discover how innovation and sustainability is key to our design and how you can apply Google’s best practices to your own infrastructure.
For years, mainframe modernization seemed out of reach. Generative AI breakthroughs, led by Google’s Gemini, offer automated assessments, code transformation, and risk mitigation for accelerated and cost-effective cloud migration. Learn from Ford and Intesa Sanpaolo about how they reduced costs, boosted performance, and embraced innovation by modernizing their core applications off the mainframe and onto Google Cloud. Learn how Google Cloud’s mainframe modernization solutions can work for your digital transformation journey.
Supercharge your development workflows with Google Cloud’s internal developer platform (IDP). In today’s world of microservices and multi-region deployments, building and maintaining your own IDP can be complex. This talk unveils Google Cloud IDP – a game-changing solution that offloads development and operational burdens to Google Cloud, freeing your platform engineers and empowering developers to focus on what matters most: building amazing applications. Experience it in action with live product demos.