Organizations are racing to deploy generative AI solutions built on large language models (LLMs), but struggle with management, security, and scalability. Apigee is here to help. Join us to discover how the latest Apigee updates enable you to manage and scale gen AI at the enterprise level. Learn from Google’s own experience and our work with leading customers to address the challenges of productionizing gen AI.

Unlock the power of lightning-fast vector search for your generative AI applications. This session dives deep into Memorystore vector search, demonstrating how to achieve single-digit millisecond latency on over a billion vectors. Explore cutting-edge gen AI application architectures that leverage vector search and other Google Cloud services to deliver exceptional user experiences.

Discover real-world examples of how generative AI is delivering tangible success across key industries – and where this technology is headed next. Hear from two experienced Google Cloud partners, EPAM and Persistent, as they share their experiences of harnessing the broad power of gen AI to solve niche challenges within traditional organizations.

Build more capable and reliable AI systems by combining context-aware retrieval-augmented generation (RAG) with agentic decision-making in an enterprise AI platform, all in Java! This session covers everything from architecture, context construction, and model routing to action planning, dynamic retrieval, and recursive reasoning, as well as the implementation of essential guardrails and monitoring systems for safe deployments. Learn about best practices, trade-offs, performance, and advanced techniques like evaluations and model context protocol.

Generative AI agents have emerged as the leading architecture for implementing complex application functionality. Tools are the way that agents access the data and systems they need. But building and deploying tools at scale brings new challenges. Learn how MCP Toolbox for Databases, an open source server for gen AI tool management, enables platforms like LangGraph and Vertex AI to easily connect to enterprise databases.

Join us for an interactive session where we’ll build, deploy, and scale inference apps. Imagine creating and launching generative AI apps that deliver personalized recommendations and stunning images, all with the unparalleled efficiency and scalability of serverless computing. You’ll learn how to build gen AI apps effortlessly using Gemini Code Assist; deploy gen AI apps in minutes on Cloud Run, using Vertex AI or on-demand, scale-to-zero serverless GPUs; and optimize the performance and cost of AI workloads by implementing best practices.

This talk demonstrates a fashion app that leverages the power of AlloyDB, Google Cloud’s fully managed PostgreSQL-compatible database, to provide users with intelligent recommendations for matching outfits. User-uploaded data of their clothes triggers a styling insight on how to pair the outfit with matching real-time fashion advice. This is enabled through an intuitive contextual search (vector search) powered by AlloyDB and Google’s ScaNN index to deliver faster vector search results, low-latency querying, and response times. While we’re at it, we’ll showcase the power of the AlloyDB columnar engine on joins required by the application to generate style recommendations. To complete the experience, we’ll engage the Vertex AI Gemini API package from Spring and LangChain4j integrations for generative recommendations and a visual representation of the personalized style. This entire application is built on a Java Spring Boot framework and deployed serverlessly on Cloud Run, ensuring scalability and cost efficiency. This talk explores how these technologies work together to create a dynamic and engaging fashion experience.

Move your generative AI projects from proof of concept to production. In this interactive session, you’ll learn how to automate key AI lifecycle processes—evaluation, serving, and RAG—to accelerate your real-world impact. Get hands-on advice from innovative startups and gain practical strategies for streamlining workflows and boosting performance.

Learn how LG AI Research uses Google Cloud AI Hypercomputer to build their EXAONE family of LLMs and innovative Agentic AI experiences based the models. EXAONE 3.5, class of bilingual models that can learn and understand both Korean and English, recorded world-class performance in Korean. The collaboration between LG AI Research and Google Cloud enabled LG to significantly enhance model performance, reduce inference time, and improve resource efficiency through Google Cloud's easy-to-use scalable infrastructure

Building a GenAI chatbot for millions of users? This session reveals the secret sauce: best practices in LLM orchestration, advanced agentic patterns, and grounded responses, all while prioritizing brand safety. Learn key architectural decisions for balancing latency and quality, and discover strategies for scaling to production.

Generative AI is transforming every role in your organization. In this panel, Google and AI platform leaders Salesforce and Atlassian will share how Gemini for Google Workspace and partner integrations can transform how your organization works. And Wayfair will share how they’re using Gemini and Salesforce to drive their business. Discover how Workspace empowers the future of work with Gemini integrated into how every role gets work done, boosting productivity and unlocking growth.

Discover groundbreaking AI innovations in our breakout session featuring experts from Cognizant, Google, Northumbrian Water, and Stena AB. Learn how AI models are revolutionizing the approach to addressing business challenges and environmental concerns. Examples will cover solutions to detect water health using satellite imagery and AI agents transforming the shipping industry's contract decisions to reduce idle time. Join us for an insightful discussion on how these cutting-edge advancements in AI technology are providing a competitive edge.

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.

Experience a live demo of Google Cloud’s approach to mainframe modernization using generative AI. This demo will showcase the modernization life cycle, from initial assessment to code rewrite to risk mitigation. We’ll illustrate how our agentic approach streamlines the modernization process, reducing time, budget, and resource requirements. And we’ll demonstrate how to minimize the risk of modernizing business-critical applications through testing and by enabling parallel execution of both original and modernized applications with Dual Run.

Join us to learn how Avery Dennison and Mercer International are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

Whilst GenAI has brought conversational experiences to the forefront, the next generation of web interfaces will demand more than just chat interactions. Instead, delivering highly personalized experiences requires a powerful blend of search, dynamic multimodal visual elements, and conversational interactions. In this session, discover how Valtech, the experience innovation company, is leveraging Vertex AI Agent Builder and Gemini with React to redefine experiences on the web.

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.

Is your team ready for the future of cloud? Discover how Google Cloud is equipping partners with the cutting-edge expertise needed to capitalize on the rapidly evolving generative AI landscape. You’ll learn about these transformative programs, learning paths, as well as targeted journeys for Vertex AI, generative AI Agent Builder, Gemini, and Customer Engagement Suite. Whether your just starting your gen AI journey, or are ready to tackle advanced implementations, we have just the training for you.

This talk delves into the evolving data architectures that will drive the next generation of AI applications, exploring how Generative AI is transforming our interaction with data. We will examine the challenges and opportunities presented by constructing data systems that can support the distinctive requirements of GenAI, and envision the future of data architecture in a world where AI is omnipresent, we will work backward from real usecase together with Intesa bank team on how they are reinventing the risk management with Data and AI.

Join us to learn how Globe Telecom and Banesco USA are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

The telecommunications industry is undergoing a significant transformation in customer engagement, driven by the capabilities of Generative AI. This talk explores how Google Cloud's Gen AI tools can be leveraged to develop advanced conversational bots, enabling telcos to reimagine their customer interactions. We will delve into the technical architecture and implementation of these solutions, focusing on how they can significantly improve issue resolution efficiency and increase containment rates for both voice and chat channels. This session will showcase how to build intelligent, scalable, and personalized customer experiences, highlighting the business value of Gen AI in optimizing service and support operations within the telecommunications sector

As brands drive towards personalization and global outreach, it puts immense pressure on marketing operations. Learn how Publicis Sapient is leveraging Google Cloud’s Gen AI technologies to optimize our clients’ marketing operations and deliver growth through hyper personalization and efficient content creation. We will share a demo of how Retailers and Consumer Products companies can manage their full marketing ecosystem using Google Gen AI stack, including Gemini, Imagen and Vertex AI.

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.

In this session, we’ll bust AI myths and showcase how easy it can be to implement AI solutions. Learn how Google Cloud’s generative AI solutions help small IT teams automate customer service tasks, personalize interactions, and improve overall efficiency. Learn from current Google Cloud partners and customers about how they approach building agents to empower growth and supercharge experiences for their customers.

Join us to learn how Ocado Retail and Rentokil Initial are transforming their workflows with Gemini in Google Workspace. They'll share their journeys, including evaluation criteria, rollout strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.are transforming their workflows with Google Workspace with Gemini. They'll share their journeys, including evaluation criteria, roll-out strategies, and the impact of generative AI on productivity and employee satisfaction. Gain valuable insights into successful AI adoption and learn how to leverage these powerful tools within your own organization.

This talk provides an in-depth look at the core principles for developing effective and dependable Generative AI (GenAI) agents. We will begin by exploring fundamental LLM Ops best practices, such as caching and latency-aware design. We will then delve into techniques for optimizing agent performance, including reranking, session management, and advanced prompt engineering. Additionally, the session will cover critical aspects of GenAI development like Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-tuning (SFT), and robust evaluation methods. Attendees will leave with a comprehensive understanding of the architectural considerations essential for constructing high-performing and reliable GenAI agents.

This workshop examines the critical lessons learned in deploying generative AI applications and explores how these insights can shape the future of the "AI Agents era." We'll delve into the practical challenges and solutions encountered in moving from initial answers to actionable implementations, prescribing how these learnings can be applied to build more sophisticated, autonomous, and impactful AI systems.

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.