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.

Learn how a team of developers built a serverless toolkit with Cloud Run to simplify application development and deployment. This session shares best practices from Shopify for creating a robust toolkit that empowers developers to seamlessly ship serverless applications while integrating with essential Google Cloud services and adhering to security best practices. Discover how to enhance scalability, reduce toil, and boost productivity.

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.

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.

Organizations in the public sector are driving incredible transformation with the help of Google Cloud. In this session, you’ll learn how Assured Workloads, one of Google Cloud’s modern cloud solutions, allows public sector customers to easily run regulated workloads on our public cloud infrastructure. And you’ll learn how your organization can address various compliance regimes, such as Criminal Justice Information Services (CJIS), Federal Risk and Authorization Management Program (FedRAMP), International Traffic in Arms Regulations (ITAR), and more.

Overwhelmed by the complexities of building a robust and scalable data pipeline for algo trading with AlloyDB? This session provides the Google Cloud services, tools, recommendations, and best practices you need to succeed. We'll explore battle-tested strategies for implementing a low-latency, high-volume trading platform using AlloyDB and Spark Streaming on Dataproc.

Leverage Composer Orchestration to create a scalable and efficient data pipeline that meets the demands of algo trading and can handle increasing data volumes and trading activity by utilizing the scalability of Google Cloud services.

Effectively managing the balance between granular access control and administrative overhead is an ongoing challenge in GCP. Cloud IAM offers granular permissions, but enforcing complex access requirements like mutual exclusivity is not straightforward. Cloud PAM enables just-in-time permission provisioning, but lacks native mutual exclusivity enforcement.

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.

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.

Integrating data from Oracle ERP to Google BigQuery? Join this session and discover how to enable seamless data integration, creating a robust data and integration fabric on Google Cloud. This capability enhances data accessibility and analytics, empowering informed business decisions. We also developed an abstraction layer to streamline integrations, fostering synergy across third-party platforms, accelerating time-to-value, and supporting a scalable, data-driven enterprise.

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.

In this hands-on lab, you'll learn how to create a cross-region HTTP(S) load balancer that intelligently distributes traffic to instances in multiple regions. By setting up four Compute Engine instances across two regions, you'll configure the load balancer to ensure seamless traffic routing to the right instance. This lab will help you optimize application performance, improve availability, and enhance fault tolerance across geographically distributed systems.

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!

Learn how to simplify cloud migrations with real-world lessons from moving a client from AWS Batch to Google Cloud Batch. This session will cover key areas like translating batch job definitions, optimizing workflows for better performance, and integrating applications with the Google Cloud Batch API. Along the way, we’ll explore strategies to address client concerns and ensure a smooth transition. Whether you’re planning a similar move or just curious about the behind-the-scenes, this session will give you some practical insights.

Experience what a real cyberattack is like in ThreatSpace, a digital training ground on Google Cloud. While the Mandiant red team tries to break into your system, the Mandiant incident response team guides you through the investigation. Use Google Security Operations and Threat Intelligence tools to uncover how the attackers got in and what they’ve done. Extra points if you can catch the bad guys!

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.