Generative AI offers exciting possibilities, but its unpredictable nature can make it challenging to deploy in a production environment. In this session, we’ll explore how to confidently deploy gen AI features to your apps using Firebase Genkit and Firebase Remote Config.

Scale your generative AI applications to enterprise readiness with best practices from Vertex AI. To ensure your path to production is smooth, Vertex AI offers several features – such as provisioned throughput for predictable performance; robust data residency controls to meet your processing requirements; customizable models through tuning, grounding, and function calling; and built-in reliability features like evaluations and safety filters.

Looking to turn the potential of Gen AI into tangible impact? Learn from AI leadership at Cox Communications and Capgemini as they share practical lessons on how to make generative AI genuinely valuable for businesses. Based on recent and real-world experiences, they'll cover everything from big wins and hard stumbles, to the critical lessons learned in between. Join this spotlight for a candid perspective on what it takes to progress from the AI hype cycle to head-turning achievements.

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 TELUS centralized 14 petabytes of data in Google Cloud, creating a single source of truth for AI innovation. Join us to explore how they transformed hundreds of enterprise-grade pipelines and get insights into responsible AI practices and future plans.

Generative AI is transforming the fashion industry! We explore how to use Google’s cutting edge tools: Imagen 3, multimodal Gemini, and BigQuery to enhance our creativity throughout the design process. From design inspiration, fabric print design, garment design, to branding. We discuss how developers can rapidly prototype and bring AI-powered visions to life with Google Cloud Vertex AI. Whether you are a developer, a designer or an industry leader, you will find valuable insights on how to integrate generative AI into your creative workflow.

Discover how to transform your unstructured data into a strategic advantage by embedding GenAI into the core of your business operations. In this live demo from Hyperscience and Google, learn how to convert your back office information assets into LLM and RAG-ready data, with unprecedented accuracy, governance, and relevance. Combining the Hyperscience enterprise AI platform with Google Vertex and Big Query, organizations can now power GenAI initiatives that deliver smarter decision making, operational agility, and competitive advantage.

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.

Delve into Wayfair's integration of Google's generative AI solutions to revolutionize their e-commerce platform and enhance employee collaboration. Discover how Wayfair leveraged Google Cloud's Gemini models on Vertex AI to automate and improve their product catalog enrichment for faster time-to-market, cost savings, better customer experience and responsible content management. Learn how Wayfair implemented Gemini for Google Workspace to boost employee productivity and collaboration to foster a more efficient and creative work environment.

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.

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.

Ready to launch your generative AI app? This session equips you with the essential skills to deploy and scale AI applications on Google Cloud. Learn practical strategies for building robust infrastructure, automating deployments, optimizing performance, and managing costs. With live demos and expert insights, you’ll walk away with actionable techniques to take your AI app to the next level.

**Please bring your laptop to get the most out of this hands-on session**

Join us for a lightning talk summarizing the Google x Kaggle Gen AI Intensive, a 5-day live course that empowered over 140,000 participants with a comprehensive understanding of generative AI. From foundational models and prompt engineering to MLOps and real-world applications, this series covered it all through a mix of theory, hands-on learning, and community engagement, with learning material created by experts across Google. Learn how you can leverage the resources from this ongoing series to upskill yourself and stay ahead in the rapidly evolving field of generative AI.

This session will examine the evolution of computing infrastructure, from its transformation for internet service delivery to the modern-day revolution driven by genAI. Google Fellow and VP of Engineering Amin Vahdat explores the design principles behind scale-out architectures and the shift towards specialized hardware, high-bandwidth networks, liquid cooling and advanced memory technologies necessitated by genAI. Taken together, these shifts promise to render next-generation unrecognizable relative to today’s conventional wisdom with orders of magnitude improvement in compute capacity, scalability, and power efficiency

Generative AI has revolutionized the business landscape, but many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations. Discover how companies are partnering with Google Cloud Consulting to better quantify the business value, understand the total cost of ownership (TCO) of gen AI use cases, and prioritize their AI investments – key lessons that can we learn from the companies leading the AI transformation.

Join us for an insightful discussion with executives from leading companies, as they share their strategies for scaling Gen AI. Discover how these industry leaders are revolutionizing business processes, enhancing customer experiences, and driving innovation. Gain practical insights into Gen AI applications, scaling challenges, and solutions that have led to significant efficiency gains and competitive advantages. Explore future trends in Gen AI, including advancements in machine learning, data integration, and ethical considerations. Don't miss this opportunity to stay ahead and unlock new opportunities for your business.

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.

App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.

Drive the next wave of AI innovation with Google Cloud databases. This Spotlight session explores cutting-edge innovations that enable you to modernize your database estate to quickly build gen AI apps, unify transactional and analytical workloads for real-time insights, and simplify database management with assistive AI. Join us to witness the future of Google Cloud databases, exclusive product announcements, insightful demos, and inspiring customer stories.

Learn how generative AI can enhance data workflows and analysis. This session demonstrates how to access and use Gen AI models in BigQuery, including new features like open source model support and structured output from Gemini. Accelerate your data analysis with the latest AI innovations available directly in BigQuery.

Generative AI is revolutionizing app development, demanding a robust network architecture capable of supporting distributed, cross-cloud deployments. This session dives into the essential networking strategies for building and deploying these next-generation applications. Discover new technologies to establish secure, reliable, and high-performance connectivity spanning Google Cloud, multicloud, and hybrid networks. Explore how to seamlessly integrate service-centric architectures to accelerate developer velocity without compromising security.

Generative AI enables you to build amazing new apps, but you may also have concerns. Will it be too complex or too expensive, or will it create security risks? Fortunately, building good gen AI apps has become much easier in the past year, in large part due to updated capabilities within databases. We’ll learn how Google Cloud databases handle key AI technologies like vector search, retrieval-augmented generation (RAG), and orchestration, helping you bridge the gap between general-purpose AI models and your business-specific data. We’ll dive into some fun application examples to see how they were built and how you can use the same techniques in your apps.

Debugging modern applications demands a new level of observability expertise. Traditional monitoring struggles with these complex distributed environments. This session goes beyond dashboards, exploring expert observability strategies tailored for the generative AI era. We’ll cover essential instrumentation with OpenTelemetry and eBPF, system health overviews using Metrics Explorer and Trace Explorer, and in-depth data analysis with SQL queries in Observability Analytics.

Generative AI offers incredible potential, but how do we ensure it's used effectively? Join our expert panel for a data-driven discussion on identifying and mitigating bias in AI-generated content.