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.
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Need precise data extraction from your documents?  This hands-on lab teaches you to build custom document extractors with Document AI Workbench. Learn to create, train, and evaluate a model tailored to your specific document types and achieve higher processing accuracy.

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!

The rise of AI agents is poised to disrupt every industry, transforming the way we work and conduct business. This session will explore the transformative power of agentic workflows and provide a glimpse into what an agentic future might entail across industries. We'll discuss the strategic implications of this emerging technology and equip business leaders with the knowledge and insights needed to navigate the agentic frontier and capitalize on the opportunities it presents.

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.

The convergence of high performance computing (HPC) and generative AI is revolutionizing research. By analyzing vast datasets and generating novel hypotheses, researchers can accelerate innovation and breakthroughs. This session explores the exciting possibilities of gen AI in research, from climate modeling to drug discovery and beyond.

Join us as we reveal how the AURA AI Suite—AURA-SECURE, AURA-FLEX, and AURA-OMNI—is transforming enterprise AI. Experience bespoke conversational solutions for both structured and unstructured data. Discover how private GPT models secure sensitive information and dynamic insights boost productivity, decision-making, and customer engagement. Plus, see how Google Cloud services like Vertex AI, BigQuery, and Kubernetes ensure seamless integration, accelerated performance, and robust security.

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.

Decode the future of startup funding. Join top VC leaders for a dynamic discussion on key trends, emerging technologies, and winning investment strategies shaping the next year. Whether you’re seeking funding or planning your next move, this is a must-attend session to gain crucial insights to navigate the evolving startup landscape.

In this session, Andrew Sun, Director of Business Development for Retail Software and Cloud at NVIDIA will discuss the impact of GenAI on the retail market and its specific benefits its bringing to the clothing/sporting goods companies like Puma. In this session, we will also showcase some of the unique GenAI experiences Puma has built while leveraging GPUs on Google Cloud’s platform.

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.

Scaling Agents with Agentspace isn’t just about building cool agents, it’s about how you integrate those into your business and how you set up the operational governance, the monitoring and the overall lifecycle management that creates a trusted digital workforce. Google Cloud becomes the Digital Office Space for your Agentic employees, and you’ll need an AI RM to manage them.

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.

Revolutionize your business with Intel and Google Cloud. Discover the power of Intel Xeon-based instances and Intel’s software optimizations for unparalleled efficiency and performance. Lower your total cost of ownership with Intel Trust Domain Extensions (TDX) for secure computing.​ Unlock the potential of AI with Intel Advanced Matrix Extensions (AMX) and optimize your software stack. Transform your infrastructure, engage with industry leaders, and gain insights to stay ahead in a rapidly evolving market.​

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 full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

Grupo Pavisa plans to revolutionize its business model by basing decisions on a single source of truth using RISE with SAP on the Google Cloud Platform. Learn how this transformation will reduce delivery times, improve production capabilities and enable the creation of better forecasting models. Join Luis Gabriel Martínez from Grupo Pavisa and Clay Caldwell from Kyndryl for a discussion of how a pragmatic approach to modernization and co-creation with Kyndryl, SAP and Google is enabling 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.

This session presents Schnucks’, a midwest grocer’s migration of their E-commerce application from Oracle Database to Cloud SQL PostgreSQL. It will cover challenges such as addressing the complexities of even "simple" schemas, testing data movement possibilities to minimize downtime, and transforming the database tier. Hear about the business impact, including cost savings, increased database-application proximity and the potential for similar future migrations, allowing for direct integration options from Google CloudSQL to Google Gemini 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.

Direct Preference Optimization (DPO) is a cutting-edge approach for fine-tuning large language models to align with human preferences. DPO eliminates complexities of Reinforcement Learning (RL), like reward modeling, by directly training models to prioritize user-selected over rejected outputs, simplifying alignment while maintaining performance. This talk covers DPO's principles, implementation, and significance in refining AI for practical applications. It highlights DPO's streamlined efficiency in optimizing model outputs, unpacking steps for preference-based adjustments, and contrasting DPO with traditional RL, showing its advantages in reducing overhead and enhancing scalability.

McDonald’s is advancing its AI capabilities and achieving transformative business outcomes with Collibra and Google Cloud Gemini. By integrating a multi-cloud, multi-data platform with unified data governance for AI, McDonald’s is reducing governance fragmentation, activating unused data, and addressing AI deployment risks. This session examines how McDonald's utilizes Collibra and Google Cloud's data and AI technologies to quickly implement innovative solutions and improve customer, restaurant team, and employee experiences.

Boost AI innovation in regulated industries! Use Red Hat OpenShift AI/IBM Watsonx and Vertex AI to split model lifecycles: train securely on isolated OpenShift AI/Watsonx, then deploy via Vertex AI's model registry. Explore use cases, deployment patterns, and the advantages of this approach. Ensure training on a trusted platform for sensitive data. Deploy models easily via Google Cloud's registry. Learn how this MLOps architecture helps meet regulations while leveraging cloud 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.

Generative AI is moving to production, powering complex workflows. Evaluation is now crucial. This deep dive explores core evaluation principles and methods, with a focus on multi-modal assessment. We'll dissect practical challenges, best practices, and hear from leading researchers on cutting-edge techniques for evaluating multi-modal use cases. Learn how to measure generative AI success beyond simple outputs.

Calling all developers, DevOps, and SRE engineers: Join us to discuss observability best practices for Gen AI apps on Google Cloud. We'll explore tracing, monitoring, and logging for Gen AI. Share insights on TPU/GPU monitoring, log correlation, regulatory alignment, and data-driven insights to enhance your Gen AI deployments.

The future of transportation is intelligent, and AI is the driving force. This session features leaders from public sector agencies who will share how AI is being applied to improve our transportation systems and enhance overall public safety.

Learn how leading retailers accelerate business growth by transforming customer experiences with Google Cloud. Through in-depth enterprise case studies, discover proven strategies for unifying customer data, delivering personalized engagement at scale, and empowering teams with actionable insights. Join industry pioneers as they share their implementation journey, demonstrate measurable ROI across digital touchpoints, and reveal best practices for driving operational efficiency. Walk away with practical frameworks for accelerating your own digital commerce transformation.

Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image queries.

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!