Explore the latest advancements in the open source software (OSS) world of in-memory data management and the launch of Memorystore for Valkey. Discover the exciting new features and enhancements in Valkey 8.0, including a preview of upcoming open source innovations on the roadmap. Join us for a deep dive with a customer who will share their real-world experience using Valkey within their architecture. Learn how they leverage the power of in-memory data to achieve exceptional performance and scalability.

Many organizations are scrambling to adopt Aritificial Intelligence tools across their teams, and like any new technology rollout, they are encountering challenges- both expected and unexpected. CME Group recently rolled out Gemini Code Assist to one of their large software development organizations and are excited to share takeaways around people, process, and tools. The topics include: compliance and information security considerations, 
managing rollout and adoption: starting small and scaling, and how these tools can help reshape the workday of your teams. No matter where you are in your AI adoption journey, you're sure to learn something new!

Unlock Data-Driven Automation with LangGraph. This session demonstrates how to build agents that leverage data directly from BigQuery to drive marketing campaign creation. Discover how LangGraph empowers seamless integration between data analysis and action, allowing for intelligent automated workflows.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Discover how Snap and Google Cloud are redefining AI-powered engagement through cross-team collaboration with Google. This session will teach you how Snapchat leverages Google to enable their growth and platform advancement.  Gain insights into Snap’s holistic journey, the impact of a tailored Google approach and engagement model, and strategies for startups to integrate Google’s solutions to enable the growth of your platform.

Connect with other security professionals in our Birds of a Feather sessions. Dive into lively discussions with peers and Google Cloud experts on key security topics, including identity and access management, network security, multicloud monitoring, and more.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

This hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.

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 Google Cloud VMware Engine empowers partners to accelerate enterprise cloud migrations and drive successful 3-5 year cloud transformations with customers. This session will highlight lucrative partner incentive programs and demonstrate how GCVE enables rapid, seamless migrations with minimal disruption, unlocking new opportunities for partners and delivering exceptional value to customers.

Hear how the revolutionary strategies and cutting-edge technologies are transforming organizations to navigate an unpredictable cybersecurity landscape. Discover how emerging trends and innovative solutions are shaping the way we protect our digital assets. Learn more about the latest advancements in borderless IT, Zero Trust, multi-cloud environments, and AI-driven security. It’s an engaging and insightful journey into the latest in cybersecurity.

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 digital landscape, organizations are sitting on untapped potential within their cloud environments. While many enterprises have made the initial move to Google Cloud, true value creation comes from modernizing applications and operations to fully leverage cloud-native capabilities. The journey typically unfolds across multiple phases and each phase can compound the benefits. But don't let the complexity of modernization hold you back.

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 talk explores a solution for the analysis of medical images, with the goal of identifying subtle indicators of cancer. The solution encompasses the ingestion, analysis, annotation, and storage of medical images to facilitate the detection of cancerous cells and enable further insights. Additionally, the solution supports the development of AI diagnostic models by converting images and metadata into formats conducive to machine learning, such as embeddings.

Our customer had been using Spanner for relational data and Tiger Graph for graph data, which prevented them from cross-referencing the two and created additional processing overhead. To address this, Google migrated the customer’s graph datasets into Spanner GraphDB. This involved creating TDD, scripts, and tools for graph schema transformations and loading data into the graph DB. Google also developed the long-awaited Corporate graph hierarchy for the customer and assisted with multiple graph query use cases essential to their business.

Discover how Vertex Search Commerce revolutionizes e-commerce by delivering world-class, personalized experiences that truly delight customers. Learn how strategic migration to this intelligent search engine, focusing on robust data pipelines and embracing AI-powered ranking, can significantly reduce zero-result searches and dynamically showcase trending items. This talk delves into the critical role of A/B testing in objectively measuring the transformative power of Vertex Search. We'll explore how rigorous experimentation allows us to not only measure the positive impact but also to identify and rectify any underlying configuration issues. Discover how a data-driven approach through meticulous A/B testing ensures Vertex Search is at peak performance, enabling you to fine-tune your implementation and be at the forefront of AI-powered product discovery landscape.

This session explores building sensitive data protection directly into Retrieval-Augmented Generation (RAG) architectures. We'll demonstrate how to leverage Cloud Data Loss Prevention (Cloud DLP) and the Faker Library to anonymize sensitive data within the RAG pipeline. The session will cover techniques for reversible transformations using Memorystore and Firestore for data mapping, and discuss integrating these methods with Large Language Models (LLMs) like Gemini via LangChain and Vertex AI Search. Learn how to create secure and compliant AI solutions that protect sensitive data and adhere to regulations like the EU AI Act.

Google Threat Intelligence’s Capture the Flag game uses real-world data, including Cybersecurity & Infrastructure Security Agency (CISA) advisories, ransom notes, and information from the dark web, to simulate a threat hunt. Test your cybersecurity skills by navigating clues, analyzing evidence, and solving puzzles to capture the flags with Google Threat Intelligence.

Abstract - AI is revolutionizing the underwriting process in the insurance industry. This session will explore how AI-driven models can streamline risk assessment, enhance decision-making, and improve customer experiences. We'll discuss the benefits of AI in underwriting, along with the challenges and ethical considerations of implementation. Attendees will gain insights into the latest AI tools and best practices for integrating AI into their underwriting workflows, driving efficiency and accuracy in risk management.

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.

What if building an AI agent that thinks, reasons, and acts autonomously took less time than your coffee break? With Vertex AI, it’s not just possible. It’s easy. Join DoiT to see how to build, deploy, and scale a production-ready AI agent in 10 minutes using Google’s top services: Gemini 2 for language understanding, the RAG Engine for fetching information, and the Agent Engine for orchestration. To top it off, watch a live demo take an agent from concept to production-ready in real time.

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 dives into building a modern data platform on Google Cloud with AI-powered data management. Explore how to leverage data mesh architectures to break down data silos and enable efficient data sharing. Learn how data contracts improve reliability, and discover how real-time ingestion empowers immediate insights. We'll also examine the role of data agents in automating data discovery, preparation, and delivery for optimized AI workflows.

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.

AI agents are revolutionizing automation, efficiency, and innovation. Join this lightning talk to discover how AI Agentspace 3P on Google Cloud Marketplace unlocks new revenue streams, extends customer reach and enables you for joint GTM and cosell opportunities.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

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.

Join Aritzia, Anomalo, and Google Cloud to learn how Aritzia automates data quality across 500+ sources in BigQuery. Discover how integrating Anomalo with Google Cloud helps proactively detect anomalies, maintain data integrity, and build trust in analytics. Explore how automation reduces time spent troubleshooting and increases time spent creating business value through reliable, AI-enhanced analytics.

Connect with fellow developers building and running applications in production on Cloud Run. We'll discuss the latest announcements, new features, and best practices for scaling and managing deployments. This is a great opportunity to share your real-world use cases, discuss challenges you’ve faced, and connect with others who rely on Cloud Run.

Dive into end-to-end Machine Learning Operations (MLOps) with Vertex AI. Discover how to integrate data, models, and workflows to build scalable, reliable ML pipelines. Learn how Vertex AI automates key ML lifecycle stages like training, hyperparameter tuning, deployment, and monitoring. Whether you're starting out or optimizing workflows, this session covers best practices and real-world use cases to transform your approach to AI development. Perfect for data scientists and ML engineers!