BigQuery helps you build an autonomous data and AI platform from your organization. In this session, you’ll learn how BigQuery agentic intelligence is automating critical data workflows, including data preparation, analysis, predictions, model tuning, security, and governance. We’ll explore the BigQuery AI capabilities that all data practitioners can use to address data challenges in the AI era.

Essential for Looker developers and administrators responsible for high-performing deployments, this session dives deep into the latest Looker performance and modeling advancements, equipping you with the knowledge and tools to build robust and scalable data experiences. Explore the latest platform optimizations, continuous integration and delivery (CI/CD) with Spectacles, key metrics for monitoring, and advanced LookML modeling techniques. Plus, a Looker customer will share their journey to optimize performance and achieve greater scalability.

Looker is transforming business intelligence (BI) with the power of AI. This session explores the latest AI advancements in Looker, showcasing how these new features – combined with the power of its semantic modeling and self-service exploration capabilities – simplify data analysis and empower everyone to make data-driven decisions. We’ll cover Looker AI and BI strategies, demonstrate new capabilities, and share best practices for leveraging AI in your BI workflows.

It’s never a dull day in the world of models. Join us in this session to learn about the latest advancements in Gemini 2.5. We’ll explore its breakthrough capabilities and performance, and the new use cases enabled by our flagship model.

Tired of juggling disparate tools and processes in your software development life cycle (SDLC)? This session explores how a multi-agent platform powered by AI can streamline your workflow and boost productivity. We’ll dive into how specialized agents for code review, testing, documentation, and modernization work together to enhance code quality, accelerate delivery, and free your developers to focus on what matters: creativity and innovation. Discover how this approach can transform your SDLC for the better.

Join Achilles Chalkiotis, North American Head of Digital Engagement at Grid Dynamics, to explore how AI is revolutionizing the retail customer journey. Learn how AI enhances shopping experiences with semantic search, personalized results, dynamic Q&A, and "view in my room" visualization. Discover the future of AI with image-based search, context-aware recommendations, and intelligent assistants. Understand the benefits for customers and retailers, from improved satisfaction to valuable insights.

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.

Generative AI has revolutionized the business landscape, but many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations. Discover how companies are partnering with Google Cloud Consulting to better quantify the business value, understand the total cost of ownership (TCO) of gen AI use cases, and prioritize their AI investments – key lessons that can we learn from the companies leading the AI transformation.

Join leaders from Anthropic and Google Cloud for a fireside chat to explore the essential elements for enterprise AI success in production. We’ll explore real-world production use cases that are utilizing the powerful combination of Anthropic’s Claude models on Vertex AI for fast development and scalable deployments. And we’ll cover topics such as platform flexibility, enterprise readiness, governance, and agentic workflows. Leave with actionable insights to guide your AI strategy and navigate the changing world of intelligent agents.

Europe is leading the way in data sovereignty, privacy, and sovereign AI. Learn how Google Sovereign Cloud products, including the Trusted Partner Cloud by S3NS, empower European organizations to innovate while upholding these values. Discover how these products provide a secure and compliant environment for businesses to leverage the full potential of cloud technology. We’ll explore how the Trusted Partner Cloud, built with S3NS, meets France’s SecNumCloud regulations.

Join this Cloud Talk to explore how Large Language Models (LLMs) can revolutionize your data workflows. Learn to automate SQL query generation and stream results into Confluent using Vertex AI for real-time analytics and decision-making. Dive into integrating advanced AI into data pipelines, simplifying SQL creation, enhancing workflows, and leveraging Vertex AI for scalable machine learning. Discover how to optimize your data infrastructure and drive insights with Confluent’s Data Streaming Platform and cutting-edge AI technology.

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.

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.

Join us for an insightful discussion with executives from leading companies, as they share their strategies for scaling Gen AI. Discover how these industry leaders are revolutionizing business processes, enhancing customer experiences, and driving innovation. Gain practical insights into Gen AI applications, scaling challenges, and solutions that have led to significant efficiency gains and competitive advantages. Explore future trends in Gen AI, including advancements in machine learning, data integration, and ethical considerations. Don't miss this opportunity to stay ahead and unlock new opportunities for your business.

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.

Speed and flexibility are key benefits of cloud-based application development and deployment. However, unmanaged costs can stifle innovation. This solution talk offers a strategic roadmap to implement FinOps principles throughout your Google Cloud infrastructure and application development lifecycle.

Collaborate with us to explore cost optimization techniques that maintain high performance levels across compute, storage, networking, and database resources. Instill a culture of cost awareness within your app teams to unlock full potential and maximize your ROI.

Building and maintaining detection rules is the cornerstone of any high-performing security operations function, but it’s often easier said than done. Join us for an in-depth exploration of detections in Google Security Operations (Google SecOps) and learn how it empowers detection teams to stay ahead of threats – from curated detections delivered out of the box by Google SecOps to address the latest threats, to building custom rules using entity graphs, AI, and the wealth of functions and context provided by Google SecOps.

Physician burnout is a global crisis negatively impacting both healthcare professionals and the quality of care they provide. Artificial intelligence (AI) may offer a solution to this problem. AI-powered tools, such as intelligent assistants for clinical documentation, diagnostic support systems, and personalized patient care platforms, can streamline workflows, reduce administrative tasks, and enhance decision-making, thereby alleviating physician burden. By mitigating burnout risk factors and empowering physicians with innovative technologies, AI can pave the way toward a more sustainable and fulfilling healthcare future.

Learn how public sector organizations are using data and AI to protect our resources, monitor and address environmental challenges, and better understand the world around us. By leveraging AI, advanced analytics, demographic data, and satellite imagery, we’re able to build a safer and more sustainable future, together.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

Application Factory unleashes developer productivity. Build and deploy apps quickly, without relying on other teams. Just write code, and watch your application come to life.

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.

Drive the next wave of AI innovation with Google Cloud databases. This Spotlight session explores cutting-edge innovations that enable you to modernize your database estate to quickly build gen AI apps, unify transactional and analytical workloads for real-time insights, and simplify database management with assistive AI. Join us to witness the future of Google Cloud databases, exclusive product announcements, insightful demos, and inspiring customer stories.

The world of data security and privacy is changing. Quantum computing threatens traditional encryption, but you can stay ahead. Learn how to protect your AI and machine learning (ML) models and your sensitive data with cutting-edge techniques and tools like Gemini. This session covers end-to-end privacy, confidential computing with Google Cloud, navigating the post-quantum cryptography (PQC) landscape, the challenges and opportunities of PQC, and how Google Cloud is preparing you for the future.

Join fellow Google Kubernetes Engine and ML engineers to share experiences building scalable, flexible, and resource-efficient machine learning platforms on GKE. Let's discuss strategies to best leverage GKE's features for serving open LLM models and orchestrating TPU/GPU’s at scale. Come prepared to share, ask questions, connect with others, and help each other succeed with GKE for ML.

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!

Calling all Python developers using Google Cloud! Share your experiences, projects, and insights leveraging Python on Google Cloud. Whether you're exploring official libraries, automating tasks, or building innovative solutions, this meetup is for you. Let's discuss what's working well, challenges you've faced, and how Python + Google Cloud could be even better. Connect with fellow developers, get inspired, and help shape the future of Python on Google Cloud!

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.