Join us for an exclusive session where Cotality (CoreLogic) reveals its groundbreaking journey of cloud transformation with Cognizant and Google Cloud. Gain insights into the strategies that drove major achievements, including significant cost reductions, heightened security, and rapid innovation. Discover the pivotal roles of the Neuro Business Process Application and Google Geomatica in revolutionizing their operations. Don’t miss this opportunity to learn how leading-edge technology can elevate your organization’s efficiency and success.

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.

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.

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven 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!

Migration can be challenging, but Google Cloud Migration Center is here to help. From discovery and analysis of your applications to definitions and cost estimates of your desired future cloud state and migration execution, Google Cloud’s easy-to-use, self-service migration tools pave the way for a smooth, efficient, and low-risk cloud migration. Come view demos of the latest workload migration capabilities and learn how Chicago Mercantile Exchange (CME Group) leveraged them to migrate their complex application portfolio to Google Cloud.

The Wisconsin Department of Workforce Development (DWD) is spearheading a groundbreaking digital transformation to enhance services for employers and job seekers. Through an innovative partnership with SADA and Google Cloud, the Wisconsin DWD is building a modern, secure, and user-friendly employer portal designed to streamline processes and increase accessibility. Join the Wisconsin DWD, SADA, and Google as they share insights into this transformation and explore key industry trends shaping the future of digital innovation in the public sector.

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.

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.

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.

Find out how leading customers have successfully done large-scale VMware migrations to Google Cloud. Join us in this exciting customer panel to learn directly from Google Cloud VMware Engine customers about how they’ve successfully completed their VMware transformation journeys.

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.