This talk will outline key architectural best practices for building and deploying Google Cloud environments that leverage the latest, most powerful GPUs for AI model training and inference. We'll also examine potential obstacles tech leaders might encounter during this process and offer strategies to overcome them. The insights provided will equip you to rapidly establish scalable, reliable, and high-performance cloud infrastructure tailored to your AI training and inference requirements.

How will you deliver store and factory floor analytics, shrink reduction, fast transactions, quality control, and staff empowerment? AI models, AI optimized cloud infrastructure, and edge hardware are unlocking new opportunities to build, deploy, and scale use cases that transform the way that customers experience your brand. Join the experts from Google Cloud as we explore the modern retail store and factory floor, engage with an interactive demo, and discuss the art of possible in a moderated panel.

Learn how leading startups build transformative AI solutions with Vertex AI. Gain behind-the-scenes insights, practical strategies, and actionable takeaways to fuel your innovation using Google Cloud’s open ecosystem of models and APIs.

Deliver, protect, and scale immersive web, media, generative AI and API experiences with the Google Cloud global frontend as part of our Cross-Cloud Network for backend infrastructure running in any cloud or on-premises. Learn about new innovations providing consistent global performance to improve user experience; advanced protection to help stop DDoS, web, API, and gen AI attacks; scalable traffic control for traffic spikes and scale; edge programmability to allow customizations and integrations; and automation to enable end-to-end deployment automation.

Hear how GigaOM, a leading technology analyst firm partnered with Pythian to leverage Google's Gemini AI model showcasing its transformative potential. Learn how GigaOM enabled advanced question-answering on GigaOM’s reports, enhancing user engagement and insight accessibility, while eliminating manual analysis. Howard and Paul will share the prompt engineering, data integration and rigorous testing techniques that led to contextually relevant and accurate responses, providing clients with rapid, self-serve access to valuable insights.

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.

Double your output without doubling your workload. Learn how to build AI agents to automate repetitive tasks, streamline workflows, and free up time so you can focus on strategic initiatives. Discover practical implementation strategies and gain insights from real-world success stories.

Leveraging real-time data in AI and machine learning (ML) can give you a competitive edge. This session explores how Shopify and Palo Alto Networks leverage real-time data and AI with BigQuery and Dataflow ML to transform customer experiences and drive innovation. Discover how these companies collect, process, and analyze real-time data to achieve significant business outcomes, and learn how to apply similar strategies in your organization.

Want to create a world-class search experience that drives sales? This session will reveal how to replicate Google’s search quality in your commerce platform. Join us to explore how VAIS:Commerce is going beyond its industry leading AI search and recommendations and ushering in a new era of AI-powered shopping experiences using cutting-edge conversational AI and agents to create personalized journeys, boost conversions, and redefine customer engagement.

Discover how organizations are transforming into AI-applied companies. Explore strategies for optimizing, improving, and innovating GCP operations. Learn from a holistic approach to integrating GenAI, ML, and DataOps and the capabilities enabled for GCP strategy. Explore enhancements in serverless tech, automation, and security. Don't miss out on this opportunity to be inspired and informed.

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.

Elevate your customer service and unlock new opportunities with Vertex AI agents. This session discusses the service opportunity and will walk through a live demo of Vertex AI Agent Builder. We'll provide insights and resources to identify and grow service opportunities using Vertex AI agents and other Google Cloud AI services.

This session delves into the practical applications of AI in transforming customer support within the travel and retail industries. We’ll examine how businesses are pairing real-time digital insights with AI-powered conversational servicing to enhance customer interactions and streamline support processes. Explore real-world examples of how these advancements are leading to significant improvements in efficiency, customer satisfaction, and agent empowerment.

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

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.