Discover the transformative power of Gemini in BigQuery, which is revolutionizing data analytics with AI-driven innovations. This session showcases capabilities designed to enhance workflows – streamlining data preparation and migrations, enabling advanced code generation, facilitating conversational data exploration, and optimizing workloads intelligently. Learn how these advancements simplify complex tasks, elevate productivity, and empower teams to unlock the full potential of their data.

Having difficulty translating desired outcomes into optimal cloud architecture for your apps? Join the session to learn about Application Design Center and its integration with Gemini Cloud Assist. We will showcase how it helps platform engineers and application architects translate ideas into deployable applications with unprecedented speed and simplicity. Explore with us its intuitive interface for designing, customizing, and deploying applications on Google Cloud with AI assistance, and leave with practical skills and tips for your next project.

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.

Incidents occur across time and topology. Customers using multiple GCP services spend hours troubleshooting. Learn about Gemini Cloud Assist Investigations, which provides the full range of troubleshooting and support, including structured workflows, signal analysis, and ability to recommend solutions across your applications, services and workloads, as well as its components such as compute, networking, storage, databases and data processing pipelines. With Gemini Cloud Assist Investigations, you can understand your environmental data patterns better, perform root cause analysis on your applications faster, and improve efficiency with warm handoffs between Gemini Cloud Assist and Google Support.

Discover the groundbreaking automated pipeline, seamlessly integrating rapid evaluation with the nuanced judgment of an LLM. This innovative solution delivers precise auto-alignment scores for LLMs, eliminating the need for repetitive prompt tuning. Effortlessly adapt to your LLM evaluation and migration requirements while minimizing hallucinations, ensuring repeatable and accurate results.

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.

Learn how to speed up popular data science libraries such as pandas and scikit-learn by up to 50x in Google Colab using pre-installed NVIDIA RAPIDS Python libraries. Boost both speed and scale for your workflows by simply selecting a GPU runtime in Colab – no code changes required. In addition, Gemini helps Colab users incorporate GPUs and generate pandas code from simple natural language prompts.

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.

Explore how to design a customer service chatbot that prioritizes privacy and security using a multi-agent system and Gemini. We’ll cover the benefits of multi-agent architecture and share 10 best practices to safeguard user data and privacy. Experience a live demo that illustrates agent collaboration and external tool integration in action. Don’t miss this session to see how Gemini can help you deliver a secure, customer-friendly chatbot solution.

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.

Expand business value and boost employee productivity with generative AI. This session reveals how Gemini's advanced reasoning, Google-quality search, and your enterprise data can combine to streamline workflows and provide answers to complex queries. Through customer and partner use cases, you'll discover the Agentspace value proposition and best practices for building a successful generative AI practice on Google Cloud.

Worried about learning how to access the latest AI models? Explore the expanding Model Garden ecosystem, including new first-party models, open-source contributions, and third-party offerings from partners like Anthropic, Meta, Mistral AI, and the Allen Institute. Learn how you can find and deploy the perfect models for your projects as easy as 1, 2, 3.

Join us for a deep dive into the latest advancements in Gemini Code Assist. This session will unveil exciting new features designed to boost productivity, enhance software quality, and streamline modernization efforts.

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.

Want to build large language models (LLMs) that are truly knowledgeable and reliable? This session explores real-world use cases of grounding with diverse data sources, such as data from Google Search, Google Maps, or even your own enterprise data. Discover how Vertex AI helps you build trust in your AI outputs.

Learn how Lloyds Banking Group dramatically optimized their costs across Google Cloud using FinOps hub. Discover new features in FinOps hub 2.0 that are supercharged by Gemini Cloud Assist. And learn how you, too, can increase your Google Cloud FinOps score.

IAM and cloud resource posture are at the core of your security infrastructure and fundamental to cloud adoption. Google Cloud's IAM and Org Policy are evolving, enabling frictionless experiences for admins, developers and security practitioners. Our innovative platform helps you implement robust and comprehensive security controls across the enterprise with AI-enabled features for agility in your operations. Join this demo-packed session to learn about the latest innovations in IAM, access risk, cloud governance, and Gemini-powered assistance.

Learn how to fast train your LLMs by maximizing utilization of TPUs. In this talk, we are going to start with training a GPT2 model with JAX from scratch on Colab and Kaggle TPUs for free. To scale it up, we will transition to the latest TPUs and the cutting edge MaxText library to train the state-of-the-art LLMs.

Journey of developing an LLM-based product that users like, from cutting through AI hype to setting realistic goals, rapidly building prototypes, and making AI valuable for users.

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.

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.