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.
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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.
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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.

Want to deploy generative AI across your organization but not sure how to keep your sensitive data secure and compliant? Join this session to hear from industry practitioners and Google experts about the best practices and lessons learned when embarking on this journey. We will demo how you can use built-in controls to identify sensitive data in your organization and restrict access to it and share insights, admin control recommendations, and lived customer experiences.

BigQuery is unifying data management, analytics, governance, and AI. Join this session to learn about the latest innovations in BigQuery to help you get actionable insights from your multimodal data and accelerate AI innovation with a secure data foundation and new-gen AI-powered experiences. Hear how Mattel utilized BigQuery to create a no-code, shareable template for data processing, analytics, and AI modeling, leveraging their existing data and streamlining the entire workflow from ETL to AI implementation within a single platform.

Hear from nonprofit Google Workspace customers Erika's Lighthouse and Climate Ride, as they share their experiences and best practices for successfully deploying and using Gemini across their teams. They'll discuss their evaluation criteria, rollout strategies, and key success metrics, offering valuable insights for other nonprofits considering AI adoption. Discover how these nonprofits are leveraging AI to drive productivity and efficiency to supercharge their social impact.

Discover and learn about the service approach, which mean to expose capabilities through API for a company using Generative AI for content creation. 

Orchestration, scalability and micro services approach will be exposed during this session, to show how you can industrialize at scale the services to serve millions of users.

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.

Generative AI is revolutionizing mainframe modernization, enabling organizations like the Air Force to achieve unprecedented speed and efficiency. Google's Mainframe Modernization tool leverages AI to analyze legacy code, identify modernization pathways, and accelerate the transition to modern architectures. This allows the Air Force to reduce costs, improve security, and maintain a competitive edge. Join this session to learn how Gen AI can help future-proof your own organization.

Simplify database management with Database Center. This generative AI-powered solution provides a centralized view of your entire database fleet, helping you monitor availability, security, compliance, and data protection. In this session, you’ll learn how to easily detect performance issues, visualize granular metrics, and get AI-powered recommendations for optimization. You’ll also discover how customers are streamlining their database operations and boosting efficiency with Database Center.

This session showcases an end-to-end generative AI application on Google Cloud. We’ll demonstrate how to use Gemini 2.0 Flash to analyze user-uploaded images, extract features, and generate descriptions stored in AlloyDB. Then we’ll show you how to fine-tune Gemini 2.0 Flash with BigQuery and generate outfit recommendations with AlloyDB low-latency querying. Finally, we’ll use the output from Gemini 2.0 Flash and Imagen 3 to create visuals of the outfits and deploy the entire solution on Cloud Run.

In this session, we'll explore best practices for developing next-gen Agentic apps powered by Gen AI for consumer goods brand innovation teams. Learn about the technical architecture, essential frameworks, and tools for scalable solutions. Discover strategies for intuitive user interactions and review real-world case studies. Join us to gain valuable insights and practical strategies for creating innovative and impactful Agentic apps.

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.

McKinsey estimates that AI could add over $4 trillion of value annually, yet only 1 percent of companies consider themselves AI-mature despite widespread investment. Join us to learn where the highest-value opportunities for agentic AI are and how to overcome barriers to scale. Hear how McKinsey is innovating with industry leaders to build agentic AI-enabled solutions that drive sustainable growth, operational excellence, and productivity.

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.