As AI reshapes the way we think about trust and security, GitHub is leading the charge in transforming application security. Join Brittany O’Shea, GitHub Sr. Director of Product Management, as she showcases how AI-driven advancements are revolutionizing detection, prevention, and remediation. Discover how these innovations empower developers to build secure, high-quality software by embedding security as a default, dramatically improving the nature of application security for the better.

This Session is hosted by a Google Cloud Next Sponsor.
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Stop struggling to unlock the transformative power of AI. This session flips the script, revealing how your existing Kubernetes expertise is your greatest advantage. We'll demonstrate how Google Kubernetes Engine (GKE) provides the foundation for building scalable, custom AI platforms - empowering you to take control of your AI strategy. Forget starting from scratch; leverage existing skills to architect and deploy AI solutions for your unique needs. Discover how industry leaders like Spotify are harnessing GKE to fuel responsible innovation, and gain the insights to transform your Kubernetes knowledge into your ultimate AI superpower.

Picture this: You pull up to your favorite drive-thru, but instead of the usual crackly intercom, a friendly AI agent greets you by name, already knows your go-to order, and suggests the perfect milkshake to complement your burger. Join us in discovering how the Food Ordering AI Agent can radically improve customer satisfaction and increase employee efficiency while generating upsell revenues. 

This session demonstrates how BigQuery ML connects all your data to cutting-edge AI using familiar SQL. Learn practical steps to build, train, and deploy machine learning (ML) models for predictive analytics directly in BigQuery while minimizing complexity and data movement. Discover ways to perform tasks such as sentiment analysis, audio transcription, and document classification with the latest models from Gemini, Claude, Llama, and others directly in BigQuery without the need for advanced Python or specialized ML skills.

Unlock the true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.

Are you a DevOps engineer or site reliability engineer (SRE) tasked with keeping mission-critical applications running 24/7? What if AI could help you detect, diagnose, and resolve incidents faster than ever before? Join the session to learn how to use AI assistance to diagnose and troubleshoot incidences and improve the mean time to detect (MTTD) and mean time to repair (MTTR). Charles Schwab partnered with Google Cloud on exploring the capabilities of Gemini Cloud Assist. And in this session, they’ll share their firsthand experiences testing Gemini Cloud Assist to enhance the reliability of their login application that handles millions of logins daily. Get practical AI skills and tips that you can put into your job right away.

Introduce how easy it can be to build a fully function Flutter app with Firebase Backend. It's fast, easy, and fully function with Front-end UI, and backend task (using Cloud Function), database (Firestore), storage (Cloud Storage), and more. Additional tips on Vertex AI and Gemini in both Flutter and Cloud Function will be added if time allows.

Business intelligence professionals and data practitioners, join us to share experiences and brainstorm solutions to your biggest data challenges. Whether you're tackling AI hallucinations, accelerating large queries, or defining data governance, this meetup provides a space for interactive discussion with peers and data experts. Bring your own topics to explore real-world scenarios and grow your network within our community.

The size and volume of internet-based attacks continues to grow exponentially. From DDoS, bad bots, and fraud to data exfiltration and infrastructure vulnerabilities to new generative AI-specific attacks, having strong defense in depth for your internet-facing workloads is critical to keep services running and protect sensitive data. Come learn about the latest innovations from Google Cloud’s Cross-Cloud Network to protect workloads hosted in any cloud, on-premises, or colocation facility. Updates will cover Google Cloud Armor, reCAPTCHA Enterprise, Model Armor, and Apigee.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Dive into Firebase Genkit, an open-source framework for building production-ready AI applications. This hands-on lab guides you through creating a Genkit project using the Gemini Flash foundation model. You'll learn to define flows and prompts, leverage the Genkit developer user interface, and gain insights from flow and prompt traces. Experience the power of Genkit to build innovative AI applications with ease.

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!

Companies in the fiercely competitive gaming landscape face constant pressure to create engaging and ever-evolving player experiences. Generative AI can help game developers craft more dynamic, personalized gameplay while reducing time to market. Major game studios are leveraging Google Cloud’s cutting-edge AI capabilities to create immersive player experiences, personalized chatbots, dynamic character interactions, and user-generated content. We’ll show you how you can use Google Kubernetes Engine to easily integrate gen AI with game servers.

Hear how generative media is enabling organizations to uplevel their content workflows and provide new and exciting features at scale. With Imagen and Veo integration, users of all skill levels are producing high quality visuals in a fraction of the time. Learn from companies L’Oreal and Honor on how their enterprises have provided access to AI-powered creative tools to their employees and customers and have delivered real business impact as a result.

Agencies are applying cutting-edge technology to safeguard communities and resources, bolster emergency management, and streamline disaster response efforts. Learn how AI, predictive capabilities, real-time data analysis, and a modernized IT infrastructure can be used to build a more resilient future.

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.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.