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.

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.

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**

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.

Discover strategies for transforming your data and AI landscape by making governance a competitive advantage. Learn from industry executives on how to establish robust governance frameworks, ensuring confidence and control in your data and AI initiatives, and gain actionable insights to position your organization for successful AI-driven innovation.

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!

Cluster Director is designed to deliver resilient AI systems at any scale, offering exceptional performance, efficiency, and ease of use. In this session, we’ll guide you through our NVIDIA GPU roadmap and showcase five Google innovations integrated into Cluster Director, illustrated with real-world examples of how they tackle the biggest challenges in distributed training to maximize performance throughput.

Securing AI applications demands a full life cycle approach. Palo Alto Networks integrates AI Runtime Security and AI Security Posture Management (AI-SPM) to protect your workloads from development to runtime. Gain inline data protection, prevent model misuse, and stop zero-day threats with centralized security policies and real-time threat detection. Discover how to automate security, reduce risk, and safeguard sensitive data while enabling innovation in your AI ecosystems.

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.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

This session brings together leading product experts from Google Cloud, Anthropic, Oracle, Databricks, and SAP to explore the five essential strategies for enterprises to successfully leverage AI and data. Attendees will gain valuable insights from real-world AI implementations, learn from the successes and challenges faced by global customers, and receive practical guidance on how to translate these strategies into actionable plans for their own AI journeys.

AI is revolutionizing the startup landscape, unlocking new possibilities for innovation, efficiency, and growth. Join industry leaders as they share bold predictions, critical challenges, and practical strategies to help you harness AI for your business in 2025 and beyond.

This session offers insight on diverse AI user journeys to help you visualize AI’s potential. Drawing on Google’s experience working with different clients, our experts will showcase impactful ways customers are driving their businesses forward with Google Workspace with Gemini. We’ll explore different use cases, demonstrating how AI can optimize operations, enhance experiences, and unlock new growth opportunities.

Unlock the Power of Fine-Tuning with Apps Script! Learn how to optimize pre-trained models for specific tasks using Google Apps Script. This session covers exporting data from Sheets to Cloud Storage as JSONL, building an Apps Script prompt explainer backend, and creating service accounts for secure access to Vertex AI and Cloud Storage. We'll also show how to collect, transform, and split data for training, launch the fine-tuning process, and test results in Vertex AI and a Google Chat bot. Master fine-tuning for practical AI applications.

Discover how Target modernized its MLOps workflows using Ray and Vertex AI to build scalable ML applications.  This session will cover key strategies for optimizing model performance, ensuring security and compliance, and fostering collaboration between data science and platform teams. Whether you’re looking to streamline model deployment, enhance data access, or improve infrastructure management in a hybrid setup, this session provides practical insights and guidance for integrating Ray and Vertex AI into your MLOps roadmap.

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Up to 90% of organizations are building across cloud environments, from edge to to multiple clouds - and the scale and speed of AI is putting pressure on these architectures. In this spotlight discover how organizations are leveraging decades of our infrastructure expertise to build secure, sovereign AI solutions. Also, learn how industry leaders are using the latest advances in networking, storage, and distributed cloud solutions to accelerate AI solution deployment anywhere.

Enter our court and get pro-level jumpshot coaching from Google AI. Get instant feedback on your form, receive personalized tips, and find out exactly how to elevate your game.

Generate a personalized podcast using your Google Workspace apps (Calendar, Gmail, and Chat) to kick-start your day in the tone best suited to your mood. All while keeping your hands and eyes free.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Need precise data extraction from your documents?  This hands-on lab teaches you to build custom document extractors with Document AI Workbench. Learn to create, train, and evaluate a model tailored to your specific document types and achieve higher processing accuracy.

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!

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.