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 session dives into the practical application of generative AI and Google Cloud tools for transforming computer science education. Discover how educators can integrate these technologies into core computer science courses to equip future developers with the in-demand skills needed for an AI-driven future. We'll explore the Google Tech Exchange curriculum, a model for bridging the gap between academia and industry through hands-on experience with cutting-edge AI and cloud technologies.

The development and implementation of AI technologies have far-reaching societal implications, influencing domains such as healthcare, education, employment, and social interactions. Ensuring the responsible and ethical development and use of these technologies is crucial to ensure fairness and promote accessibility for all. This fireside chat between Googlers and Partners will discuss actionable strategies for building and using responsible AI technology.

Multimodal AI is transforming how users interact with applications. Join us for an exploration of how to build secure, scalable, and intelligent multiplatform and multimodal AI apps using Flutter, Firebase, and Gemini. Leveraging Gemini's advanced multimodal understanding, we'll deconstruct the architecture of a cutting-edge app, demonstrating how to seamlessly integrate voice, image, and text interactions into your web and mobile experiences using a single codebase. This deep dive into architecture and code, along with Q&A, will empower you to create engaging user experiences powered by the latest advancements in AI, backed by Google Cloud.

Learn how Equifax is driving productivity gains by adopting Gemini & Google Workspace. We’ll cover their strategic migration from Microsoft to Workspace, which set the foundation for seamless generative AI. This session highlights their Gemini pilot for 1,000 users, focusing on practical strategies for change management & maximizing user adoption. We’ll share how Equifax empowered employees with prompt engineering & tailored use case training, offering a replicable model for organizations.

This Session is hosted by a Google Cloud Next Sponsor.
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PostgreSQL is one of the most popular open source databases for application development.  Furthermore, native support for vector search makes PostgreSQL an excellent choice for generative AI app development too. Learn why Google Cloud is the best place for your PostgreSQL workloads across Cloud SQL, AlloyDB and Spanner database offerings. Also hear from Salesloft about their journey to Google Cloud and how they chose which database service to select for their workloads.

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.

See a live demo on how Dialpad streamlines communications and extracts real-time insights from business conversations. Our Ai-powered customer communications platform seamlessly combines contact center and sales-related functionality with voice, video, and messaging, empowering organizations to build stronger customer relationships. Come see how features, such as Ai CSAT, Ai Recaps, and Ai Playbooks, can transform your business outcomes.

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.

The future of AI is at the edge and edge inferencing is transforming industries. The power of an AI-ready data center, connected to Google Cloud, optimizes edge AI by bringing AI processing closer to all types of data sources for unprecedented speed and efficiency, enabling real-time insights. Success relies on low latency and high-performance physical infrastructure; Equinix's global network of 260+ AI-ready data centers in 73 metros securely connects clouds to customers, partners, and service providers to accelerate AI deployments.

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.

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!

Distributed computing for ML is hard. JAX makes it easy (with TPUs & GPUs). Come share your experiences with JAX so we can all learn when JAX is the easy answer and when you should be looking for alternatives.

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.

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.

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.

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.

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.

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.