Join this session to learn about Google Cloud's vision and investment priorities in EMEA, focus on key industry verticals for 2025, and emerging technology trends. Discover how fellow partners are capitalizing on opportunities to establish a footprint and build pipeline in multiple markets. We'll also discuss tackling generative AI implementation challenges, developing solutions, hiring and training, and the legal and ethical guidelines within the region.

Join us to discover the key solution plays driving Google Cloud's 2025 vision, and learn how to leverage cutting-edge AI to maximize your revenue. We'll outline key enablement sessions and training, empowering you to capitalize on the region's immense potential in 2025 and beyond.

Join our North America leadership team for a fireside chat on scaling your business with Google Cloud. They will reveal priorities for 2025, how to navigate the AI era, and how industry expertise will play a key role in unlocking and accelerating growth. Discover the latest trends shaping the region, and gain actionable insights to embrace unprecedented opportunities and exceed customer expectations in this transformative age.

Join APAC leaders as they discuss key priorities and go-to-market stratgies for the region. This transformative era provides unique opportunities for Google Cloud to differentiate ourselves in the market and collaborate with partners to drive AI-led business transformations for customers. Our strategic partners will share insights and success stories on why customers choose Google AI and clear steps to becoming a top partner.

Regional leader Yumi Ueno will share Japan's long-term strategic plan for 2025. She'll discuss the latest successes in the region and the ongoing efforts to help partners maximize Google Cloud's gen AI offerings to win customer deals. This session will be offered in Japanese, no English translation available.

In 2024, customers purchased billions through Google Cloud Marketplace, showcasing unprecedented spending power. Learn how to leverage the marketplace as your engine to drive engagement, scale growth, and maximize revenue. We'll discuss the 2025 roadmap highlighting partners who have already successfully monetized AI agents, data, and services. Don't miss this session to attain actionable go-to-market insights to boost your potential with Google Cloud Marketplace.

It feels like there’s a new advancement happening in AI every day – but how do these discoveries go from their nascent state in the research lab to full-scale enterprise deployment?  And how do we ensure that these new tools and capabilities remain secure? Our panelists will explore this cycle of innovation – the iterative process of curiosity-driven research, practical application, and real-world impact of AI and machine learning. We'll examine practical case studies and underscore the transformative power AI has in the realm of security.  

Topics will include: 

• How Google connects AI research with real-world solutions for some of the largest enterprises in the world
• Google Cloud’s AI roadmap
• Cybersecurity considerations for emerging AI tools

Artificial intelligence is no longer on the horizon – it’s the defining force shaping business today. During this fireside chat, Thomas Kurian, CEO of Google Cloud, will sit down with Google Cloud's VP of Marketing, Alison Wagonfeld for a candid conversation on navigating the AI revolution, unlocking new opportunities for innovation, and building a future-ready organization. They’ll explore Google Cloud’s strategic vision and delve into both the profound impact of AI across industries and actionable strategies for businesses to leverage this technology.

Topics will include: 

• AI as the competitive differentiator
• The role of Google Cloud in the AI era
• Navigating leadership in the age of AI

Up to 90% of organizations are building across cloud environments, from edge to to multiple clouds - and the scale and speed of AI is putting pressure on these architectures. In this spotlight discover how organizations are leveraging decades of our infrastructure expertise to build secure, sovereign AI solutions. Also, learn how industry leaders are using the latest advances in networking, storage, and distributed cloud solutions to accelerate AI solution deployment anywhere.

Discover how Google Cloud accelerates life sciences innovation.We showcase AI's impact on early-stage research, enabling rapid target identification and virtual screenings, vital for life sciences, biotech, and medical devices. See how AI-powered analytics optimize clinical trials, improving design, execution, and patient recruitment.

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful 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.

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.

Leverage Google Cloud Observability when instrumenting your code with logging, monitoring, and tracing capabilities. Try it out yourself in one of the popular programming languages, such as Java, Python, JavaScript, or Go.

Check out Google’s recommended architecture for bringing agents to your products, powered by Gemini, Firebase, Google Cloud, and Angular.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

APIs dominate the web, accounting for the majority of all internet traffic. And more AI means more APIs, because they act as an important mechanism to move data into and out of AI applications, AI agents, and large language models (LLMs). So how can you make sure all of these APIs are secure? In this session, we’ll take you through OWASP’s top 10 API and LLM security risks, and show you how to mitigate these risks using Google Cloud’s security portfolio, including Apigee, Model Armor, Cloud Armor, Google Security Operations, and Security Command Center.

Build fully integrated streaming pipelines on Google Cloud and learn how to leverage AlloyDB, Datastream, BigQuery, Looker, and Vertex AI for real-time data analysis.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.

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!