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!

Shape the future of any industry with Google Cloud. This session will discuss Google Cloud's industry approach and overall strategy. We'll dive into different verticals and focus on and how our teams align to ensure partner and customer success. Hear from a fellow partner on how we jointly worked to bring a new solution to market and the Google Cloud resources and tools they leveraged for success. 

AI is transforming industries, but its success hinges on one critical factor: high-quality, abundant data. From ingestion to consumption and modernization to validation, multiple AI agents work together to manage the data life cycle to have good data quality. Yet, as data growth slows down, lets understand how can we fuel growth with synthetic data. We’ll discuss where we are now, what comes next, and how to connect every dot in data modernization and migration.

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 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.

In this hands-on lab, you'll learn how to build a powerful business intelligence (BI) dashboard using Looker Studio and BigQuery. Discover how to upload and query data, create reports datasets, and run scheduled queries to uncover valuable insights from large service usage logs. With your dashboard, you'll gain the ability to identify trends, optimize operations, and make data-driven decisions to improve efficiency and service quality.

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!

In this hands-on lab, you'll explore the power of Kubernetes and learn how to orchestrate cloud applications with ease. Using Google Kubernetes Engine, you’ll provision a fully managed Kubernetes cluster and deploy Docker containers using kubectl. Break down a monolithic application into microservices using Kubernetes Deployments and Services, and gain insights into the latest innovations in resource efficiency, developer productivity, and automated operations. By the end, you'll be ready to streamline application management in any environment.

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!

Join us to learn how you can build on Google’s intelligent, open, and unified Data Cloud to accelerate your AI transformation. This session covers deep integrations between BigQuery and Google’s operational databases, such as Spanner, AlloyDB, Bigtable, Cloud SQL. Mercado Libre will share how Spanner and Bigtable Data Boost enable near-zero impact analytics on their operational data. Plus, discover how Datastream and change streams simplify data movement to BigQuery, and how reverse ETL (extract, transform, and load) from BigQuery powers operational analytics.

This hands-on lab equips you with the practical skills to build and deploy a real-world AI-powered chat application leveraging the Gemini LLM APIs. You'll learn to containerize your application using Cloud Build, deploy it seamlessly to Cloud Run, and explore how to interact with the Gemini LLM to generate insightful responses. This hands-on experience will provide you with a solid foundation for developing engaging and interactive conversational applications.

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!

Google Cloud’s Contact Center as a Service (CCaaS) solution has powerful capabilities to modernize and transform contact centers. Learn about the unique features, including co-browse for visual agent assistance and multimodal interactions for seamless customer journeys across channels like voice, chat, and email. The session will also cover integrated quality management (QM) and workforce management (WFM) tools for optimizing agent performance and scheduling, and a robust security architecture featuring VPC Service Controls.

Join this session to learn how to ground your AI with relevant data with retrieval-augmented generation (RAG) from Firebase Data Connect, which brings rapid development and intelligent context from your Cloud SQL database to your generative AI experiences. Data Connect makes it easy to connect your app, data, and AI all together, and seamlessly integrates Vertex AI and Cloud SQL to make RAG easy and ready for AI agents.

Learn how Firebase App Hosting simplifies deploying and managing Next.js and Angular web apps on Google Cloud infrastructure. With seamless GitHub integration, global scalability, and built-in observability, App Hosting is designed for production-ready deployments. In this session, you’ll watch live demos and explore streamlined workflows to elevate your web app deployment process.

Come join us as we take a deep dive into using Cloud Run for high-availability applications that are resilient to regional outages with no additional costs or complexity. Learn how you can minimize service disruptions to ensure your business continues to operate smoothly, even during a regional outage, with minimal toil on Cloud Run. This session covers a range of topics, including fault tolerant design, multi-region deployment, automated failover, and more.

New AI workloads in the enterprise can create new and novel security exposures. In this session, you’ll learn directly from our Mandiant team about what they are seeing in this new AI-driven world. And we’ll share how Google Cloud AI protection capabilities can help protect your workloads against the most sophisticated threats. We’ll guide you through how you can protect your data, models, applications, and infrastructure throughout the AI life cycle.

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

The explosive growth of artificial intelligence demands a paradigm shift in how we build and power its infrastructure. Join Urs Hölzle, Google Fellow, and Parthasarathy Ranganathan, VP, Engineering Fellow at Google Cloud, for a fireside chat exploring the critical intersection of intelligent infrastructure and sustainable energy.

They will delve into the challenges and opportunities of scaling AI, from the hardware powering massive models to the energy sources that fuel them. Discover how innovative approaches to infrastructure design and energy efficiency are shaping the future of AI, 25 years of cloud infrastructure design at Google, and what is coming for the next 25 years.

Are you an Amazon Web Services (AWS) developer exploring Google Cloud for the first time, or looking to deepen your multi-cloud skills? Join us for a whirlwind tour exploring the ins and outs of Google Cloud, from resource and access management, to networking and SDKs. We’ll cover Google Cloud’s framework for hyperscaler migrations. Then, we will demonstrate migrating an AWS application to Google Kubernetes Engine (GKE) and Cloud SQL, including Database Migration Service (DMS), GKE cluster creation, container image migration, and CI/CD. You'll leave with a core understanding of how Google Cloud works, key similarities and differences with AWS, and resources to get started.

Take control of your Google Cloud costs. This session provides lean IT teams with essential techniques to optimize cloud spend, maximize budget, and align with business goals.

In this hands-on lab, you’ll build a practical Gmail add-on powered by Gemini and Vertex AI that performs sentiment analysis on your emails. Learn how to integrate powerful Natural Language Processing capabilities to automatically classify emails as positive, neutral, or negative. This tool will help you prioritize customer service responses, flag potentially sensitive messages, and streamline your email workflow for improved productivity.

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!

Explore a future where AI agents from different platforms work together seamlessly. This session focuses on Salesforce and Google Cloud's partnership to develop a standardized approach for multi-agent communication and collaboration. Learn how agent interoperability between Salesforce Agentforce and Google Conversational Agents can handle complex customer interactions, ensuring smooth coordination. Join us to discover the latest advancements that enhance productivity and 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.