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.

In the ongoing battle against cyberthreats, AI can unlock new levels of efficiency, accuracy, and proactive defense. In this session, a Google Security Operations customer will delve into practical use cases where AI is already delivering tangible benefits to security teams. We’ll also introduce new capabilities designed to automatically triage and analyze alerts. Join us to learn how you can put Gemini to work to enable more precise threat detection and faster incident response in your environment.

Build modern applications with the power of Oracle Database 23ai, and Google Cloud's Vertex AI and Gemini Foundation models. Learn key strategies to integrate Google Cloud’s native development tools and services, including Kubernetes, Cloud Run, and BigQuery, with Oracle Database 23ai and Autonomous Database, seamlessly into modern application architectures. Cloud architects, Developers, or DB Administrators will gain actionable insight, best practices, and real-world examples to enhance performance and accelerate innovation with ODB@GC.

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.

Navigating the complex world of compliance can be daunting. Join us to discover how to simplify your compliance journey on Google Cloud, enabling you to build at scale while meeting stringent industry regulations with ease.

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.

Building AI solutions on Google Cloud? This session demystifies our AI infrastructure stack, from pretrained models like Gemini to the Vertex AI managed platform, and all the way down to DIY container runtimes and virtual machines (VMs). Learn how to choose the right level of abstraction for your AI and machine learning (ML) workloads, and leverage the full power of Google Cloud’s AI ecosystem.

AlloyDB for PostgreSQL is Google Cloud’s high-performance, PostgreSQL-compatible database service for your demanding online transaction processing (OLTP), hybrid transactional and analytical, and generative AI applications. In this session, we’ll cover what’s new with AlloyDB, including critical enterprise features across performance, availability, ease of use, and more. You’ll also learn how customers are quickly migrating to AlloyDB with Database Migration Service and how they’ve successfully scaled their workloads with AlloyDB, saving money while doing so.

KPMG LLP is driving the AI-powered trend of software disintermediation using Google Vertex AI and Gemini. Together with a leading commercial banking system, KPMG developed an AI Advisor and Agent that interacts directly with the system of record, eliminating the need for employees to navigate complex screen chains. The concept, applicable across industries, can significantly reduce direct fees and employee costs. Join us to explore the implications of a future where AI Agents streamline system interactions and enhance operational efficiency.

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.

We will delve into the practical applications of AI-assisted coding within a large organization, highlighting the specific ways Ulta Beauty's developers are utilizing Gemini Code Assist to streamline workflows. Understand how Ulta successfully gained buy-in from both management and engineering teams by demonstrating the tool's value and addressing potential concerns. Learn about Ulta's thoughtful approach to integrating new AI technologies while prioritizing security, responsible usage, and alignment with existing development processes. 

Imagine AI voice assistants that understand you, no matter how you mix languages! This session explores the development of multilingual AI assistants, breaking down language barriers and fostering accessibility in technology.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL 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!

Build, deploy, and monetize AI agents on Google Cloud. This session covers the full lifecycle — development on Vertex AI, packaging, publishing, and commercialization on Google Cloud Marketplace, deployment on GKE etc., and customer access, including via Google Agentspace. We'll demonstrate leveraging the Google Cloud partner ecosystem to build enterprise-grade agents.

Level up your cloud security with Google Cloud’s next-generation identity and access management (IAM). This session explores how modern cloud IAM capabilities – including next-gen unified access policies, fine-grained access control, privileged access management, and policy intelligence – can improve your cloud security posture. Join us to learn how to streamline access, enforce consistent policies, and proactively mitigate risks in today’s dynamic cloud landscape.

The landscape of retail is rapidly evolving, and leading brands are embracing the power of AI to create more engaging and personalized customer experiences. This dynamic panel explores how leading retailers have deployed Google AI technologies to optimize search functionality, personalize product recommendations, streamline customer interactions, and ultimately drive increased revenue and satisfaction.

Gain valuable insights into how working with Google Cloud's security offerings can boost your success in this rapidly growing market. Learn about our go-to-market strategy and existing sales plays. Additionally, discover security-specific programs and incentives available only to Google Cloud partners. Our available resources and trainings in positioning, selling, and deploying Google Cloud Security products will help up-skill your team and maximize your profitability with Google Cloud.

This session will demonstrate how AMD EPYC™ powered Google Cloud instances can transform your IT strategy — whether you are leveraging them for general IT, line-of-business, or high-performance computing (HPC) workloads. Join us to delve into the specifications of the latest Google Cloud VMs built on AMD technology. Learn how these advanced instances deliver unparalleled performance for your investment while we demonstrate how to structure your Google Cloud deployment for optimal efficiency and performance.

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 session, we’ll show how Vertex AI and BigQuery make the process of integrating data into AI models as easy as 1, 2, 3. You’ll learn how to seamlessly integrate your data estate at every stage of AI development, from exploration and feature engineering to model training and deployment. We’ll also introduce our Data Science Agent and Vertex AI Feature Store 2.0, and how you can accelerate your innovation velocity with AI.

This talk explores how Google Batch accelerates genomics analysis on Google Cloud with two powerful solutions: 1. Accelerated DRAGEN with Google Batch and Eviden FPGAs: Combines Illumina DRAGEN bioinformatics pipelines with Google Batch and Eviden FPGAs for speed, scalability, and cost-efficiency in secondary analysis. 2. Scalable Genomics Workflows with NVIDIA Parabricks and Google Batch: Simplified GPU management, high-throughput analysis, and cost-effective scalability by automating GPU deployment and management with Google Batch.

Moving mission-critical applications to the cloud in a regulated industry? In this session, experts from CME Group share a roadmap for achieving operational resilience on Google Cloud. Learn how to implement enterprise-scale observability, proactively troubleshoot issues, and enhance reliability while meeting stringent compliance requirements. Leave equipped with practical knowledge and tools to ensure operational excellence for your critical applications.

Join this session for a discussion on how Replit is using Claude on Google Cloud's Vertex AI to transform software development. Learn how Replit enables anyone to build and deploy production-ready applications from any device, what made Claude the ideal AI partner for their mission, and how this collaboration is empowering the next billion software creators globally.

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.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.

In this session, we’ll build a functional generative AI application designed to solve a common IT challenge for small teams. We’ll start by defining a problem and exploring how gen AI can offer a solution. Next, we’ll select a pretrained model from Model Garden and use it to build a simple application with intelligent automation. Throughout the process, we’ll demonstrate testing and refinement techniques. This session is ideal for visual learners who want to see the power of gen AI in action and gain the confidence to build their own AI-powered solutions.

Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.

This talk focuses on using conversational AI to drive revenue growth and optimize customer experience in your contact center. Discover how AI-powered virtual agents can proactively engage customers, identify sales opportunities, qualify leads, and seamlessly hand off high-priority interactions to human agents. Additionally, explore strategies for implementing tiered service models (freemium and premium) to enhance customer journeys and increase revenue. Premium service offerings could include faster response times, queue bypassing, and video calls with live agents.

Large AI, machine learning (ML), and analytics workloads can demand high-performance access to storage from thousands of nodes and to exabytes worth of data. Unblocking innovation requires having an efficient and sustainable storage infrastructure in place. In this session, you’ll learn about how customers can achieve this using Google Cloud Hyperdisk capabilities and offerings like Hyperdisk Storage Pools, Hyperdisk ML, Hyperdisk Throughput, and more. Learn from leading customers who have used Hyperdisk to achieve their business objectives.

Geographical redundancy is a key pillar of a resilient data architecture. With BigQuery cross-region dataset replication and managed disaster recovery, you can ensure your mission-critical apps remain available even in the unlikely event of a region-level infrastructure outage. Learn how this built-in capability protects your data and workloads against regional outages and ensures uninterrupted data access for your organization.