Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

Dive deep into the world of multimodal analytics with BigQuery. This session explores how to unlock insights from all data types in BigQuery using embeddings generation and vector search. We’ll demonstrate how BigQuery object tables combine text, documents, and images to unlock popular use cases like recommendation engines and retrieval-augmentation generation (RAG). Learn how to leverage BigQuery as a knowledge base to ground your cutting-edge AI application with your own enterprise data.

Session will cover Google Cloud solution to transform Pharma Tech transfer function. Session would cover how Agentspace, Vertex AI and Notebook LM can help Pharma Industry solve billion dollars problem. Google Cloud’s solution focuses on Improved Knowledge Management & search and enhanced collaboration and communication.

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Maximize your Gen AI inference performance on GKE. This session dives into the latest Kubernetes and GKE advancements, revealing how to achieve significant cost savings, reduced latency, and increased throughput. Discover new inference features on GKE for optimizing load balancing, scaling, accelerator selection, and overall usability. Plus, hear directly from Snap Inc. about their journey re-architecting their inference platform for the demands of Gen AI.

Unlock AI's transformative potential with adaptive strategies for leveraging AI Agents and platform-thinking. From identifying high-impact use cases to rapid, trusted deployment, we'll cover value modeling, Trusted AI deployment, agent orchestration, and productionizing in an uncertain landscape. Explore real-world implementations, from enhancing customer experiences to streamlining workflows, and measure success quickly. Discover how steering, worker, conversational, transactional, and multimodal agents drive tangible business value.

This Session is hosted by a Google Cloud Next Sponsor.
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This session demonstrates how to integrate Gemini Code Assist into your development workflow to boost productivity and code quality. Learn specific techniques for using Gemini Code Assist and actionable strategies to incorporate it into your daily practice.

Join us for an exciting session where experts from Salesforce and Google will discuss their innovative partnership aimed at transforming customer engagement. This collaboration focuses on integrating Salesforce Service Cloud with the Google Customer Engagement Suite to help organizations solve problems faster, improve customer satisfaction, and drive revenue with AI. Discover how Service Cloud, leveraging Google's technology, is building AI-powered contact centers to drive customer success by combining the strengths of humans and agents.

This Session is hosted by a Google Cloud Next Sponsor.
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Organizations with strict data residency requirements often struggle to leverage AI and the latest in cloud innovations on-premises. Learn how to architect gen AI optimized applications for success using LLMs, cloud infrastructure, and data on-premises without compromising on data sovereignty, security, or latency in this technical deep dive session.

Simplify blockchain development with generative AI on Google Cloud. In this interactive session, you’ll learn how Gemini AI helps generate queries for BigQuery blockchain datasets and analyzes real-time blockchain data. See how Blockscope is using Gemini to conduct forensic analysis of blockchain data. Live demos will show you how to supercharge your Web3 projects, whether you're a blockchain veteran or just starting out.

Despite the robustness of a retailer's order management system, external factors can disrupt both employee and customer experiences. Cognizant tackled the Must-Arrive-By-Date (MABD) challenge, crucial for ensuring timely shipments. Their OMS Gen AI solution features an intelligent assistant that predicts PO delays and recommends actions to guarantee on-time arrivals. This innovation delights store associates and customers alike, ensuring shelves remain stocked even under extreme weather conditions.

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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!

Learn how Salesforce and Google are partnering to deliver new features to customers through Agentforce, powered by Google AI. Speakers will discuss the upcoming availability of Gemini within Agentforce, giving customers flexibility in choosing models to drive Agents and Actions. They will also cover new capabilities within Agentforce, powered by Google services, which provide improved natural conversational experiences and real-time integration with Google Maps, Travel, and Weather.

This Session is hosted by a Google Cloud Next Sponsor.
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Don't let Gen AI pitfalls derail your enterprise's success. We explore common challenges that hinder implementation, including prioritization paralysis, the seductive "proof-of-concept" trap, managing unpredictable outputs and model hallucinations, and keeping pace with rapid innovation. We highlight strategies to mitigate these risks, emphasizing the crucial role of your unique data in achieving competitive advantage. Increase your chances of achieving meaningful gen AI success by learning how to navigate these obstacles.

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Move beyond AI pilots to scalable AI impact.

Enterprise AI is not just a technological innovation—it's a competitive necessity. To fully harness the potential of AI, organizations need more than just technology—they need a clear, forward-looking roadmap. Infosys is redefining what it means to be an AI-first enterprise. This session delivers a roadmap for building a robust, responsible AI foundation - with data that is Ready for AI, including the strategic realization of Agentic AI. Join us to explore the path to a future based on Enterprise AI.

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We invite you to explore how Cognizant's Generative AI-powered solution transforms contract negotiations. This advanced technology reduces contract review time from 92 minutes to just 26 seconds, achieving a 10% increase in accuracy. It possesses a distinctive ability to identify and risk-score non-standard contract language, equipping negotiators with a contextual understanding of risk levels. This solution facilitates data-driven decision-making, mitigates financial risks, and provides a proactive approach to contract management.

This Session is hosted by a Google Cloud Next Sponsor.
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This session showcases how Gemini Code Assist revolutionizes end-to-end Java application development. Join us to learn how to accelerate each development stage – from backend to frontend and testing. Discover how to leverage Gemini code generation, completion, and debugging features. Explore how to enhance productivity and build robust, high-quality applications faster. And take away practical methods and techniques for integrating Gemini Code Assist into your workflow.

Discover how to integrate AI and Gen AI capabilities to unblock data quality issues, streamline the deployment processes of a data platform, and empower data teams to accelerate the development of customized data products. By automating data product and pipeline creation, infrastructure deployment, data quality, and PII controls, you can reduce engineering efforts by 30-40% and develop products three times faster. Learn how this approach has helped clients create data products faster and more cost-efficiently across various industries.

This Session is hosted by a Google Cloud Next Sponsor.
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Explore the future of data management with BigQuery multimodal tables. Discover how to integrate structured and unstructured data (such as text, images, and video) into a single table with full data manipulation language (DML) support. This session demonstrates how unified tables unlock the potential of unstructured data through easy extraction and merging, simplify Vertex AI integration for downstream workflows, and enable unified data discovery with search across all data.

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.

Cloud, AI, and data analytics technologies have the potential to revolutionize healthcare - streamlining eligibility determination, automating administrative processes, and providing greater access to critical services. By tailoring interventions, resources, and communication strategies to individual needs, technology can enable more effective, engaging, and personalized care for all.

Model Armor is designed to protect your organization’s AI applications from security and safety risks. In this session, we’ll explore how Model Armor acts as a crucial layer of defense, screening both prompts and responses to identify and mitigate threats such as prompt injections, sensitive data leakage, and offensive content. Whether you’re a developer looking to implement AI safety or a professional interested in better visibility into AI applications, Model Armor offers comprehensive yet flexible security across all of your large language model (LLM) applications.

Tensor Processing Units (TPUs) are a hardware accelerator designed by Google specifically for large-scale AI/ML computations. Google's new Trillium TPUs are our most performant and energy-efficient TPUs to date, and offer unprecedented levels of scalability. Ray is a unified framework for orchestrating AI/ML workloads on large compute clusters. Ray offers Python-native APIs for training, inference, tuning, reinforcement learning, and more. In this lightning talk, we will demonstrate how you can use Ray to manage workloads on TPUs with an easy-to-use API. We will cover: 1) Training your models with MaxText, 2) Tuning models with Huggingface, and 3) Serving models with vLLM. Audience can gain an understanding of how to build a complete, end-to-end AI/ML infrastructure with Ray and TPUs.

Leaders of small businesses from around the globe take the stage to discuss how they’re using generative AI to bring positive change to their communities and environment. In this panel, we’ll show you how there are no limits to what your business can create.

This session offers a technical deep dive of the state-of-art AlloyDB AI capabilities for building highly accurate and relevant generative AI applications using real-time data. We’ll cover vector search using Google Research’s ScaNN index technology and cover how you can utilize Gemini from AlloyDB operators to seamlessly integrate into your application. Discover AlloyDB AI natural language feature, a new way to interact with databases and how it accurately and securely answers your questions. Also learn about the latest research between Google and NVIDIA on GPU-accelerated vector index builds in databases.

Balancing developer agility with security compliance is a key challenge in AI-driven, cloud-native development. Learn how Docker and Google Cloud integrate security into every phase of the software lifecycle—enabling teams to build, test, and deploy AI features and applications with confidence. Embed security in developer workflows, enhance supply chain integrity with SLSA provenance and SBOM attestations, and leverage trusted content on seamless workflows with Google Cloud.

This Session is hosted by a Google Cloud Next Sponsor.
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