Learn how leading startups build transformative AI solutions with Vertex AI. Gain behind-the-scenes insights, practical strategies, and actionable takeaways to fuel your innovation using Google Cloud’s open ecosystem of models and APIs.

Hear how GigaOM, a leading technology analyst firm partnered with Pythian to leverage Google's Gemini AI model showcasing its transformative potential. Learn how GigaOM enabled advanced question-answering on GigaOM’s reports, enhancing user engagement and insight accessibility, while eliminating manual analysis. Howard and Paul will share the prompt engineering, data integration and rigorous testing techniques that led to contextually relevant and accurate responses, providing clients with rapid, self-serve access to valuable insights.

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.

Double your output without doubling your workload. Learn how to build AI agents to automate repetitive tasks, streamline workflows, and free up time so you can focus on strategic initiatives. Discover practical implementation strategies and gain insights from real-world success stories.

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven applications.

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!

Want to create a world-class search experience that drives sales? This session will reveal how to replicate Google’s search quality in your commerce platform. Join us to explore how VAIS:Commerce is going beyond its industry leading AI search and recommendations and ushering in a new era of AI-powered shopping experiences using cutting-edge conversational AI and agents to create personalized journeys, boost conversions, and redefine customer engagement.

Discover how organizations are transforming into AI-applied companies. Explore strategies for optimizing, improving, and innovating GCP operations. Learn from a holistic approach to integrating GenAI, ML, and DataOps and the capabilities enabled for GCP strategy. Explore enhancements in serverless tech, automation, and security. Don't miss out on this opportunity to be inspired and informed.

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 true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.

Dive into Firebase Genkit, an open-source framework for building production-ready AI applications. This hands-on lab guides you through creating a Genkit project using the Gemini Flash foundation model. You'll learn to define flows and prompts, leverage the Genkit developer user interface, and gain insights from flow and prompt traces. Experience the power of Genkit to build innovative AI applications with ease.

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!

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Always wanted to get started with open source LLMs? Meta's Llama models are among the most popular and best performing in the world – and you can find them in Vertex Model Garden. In this session, we'll cover everything you need to know about working with Llama models on Vertex, from prompting best practices to choosing the best deployment method for your use case. With practical demos and real-world examples, discover how Llama can power your startup.

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

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Distributed computing for ML is hard. JAX makes it easy (with TPUs & GPUs). Come share your experiences with JAX so we can all learn when JAX is the easy answer and when you should be looking for alternatives.

This session will cover how to optimize remote sensing data analysis using Ray, Kubeflow, and Google Cloud Platform (GCP). Learn how to leverage distributed computing, orchestration workflows, and xarray for efficient processing of geospatial data from Unmanned Aerial Systems (UAVs), LiDAR (Light Detection and Ranging), and Ground Penetrating Radar (GPR). Attendees will gain practical insights into building scalable, cloud-native pipelines that accelerate data processing and deliver faster, more actionable insights.

Build modern applications with the power of Oracle Database 23ai, and Google Cloud's Vertex AI and Gemini Foundation models. Learn key strategies to integrate Google Cloud’s native development tools and services, including Kubernetes, Cloud Run, and BigQuery, with Oracle Database 23ai and Autonomous Database, seamlessly into modern application architectures. Cloud architects, Developers, or DB Administrators will gain actionable insight, best practices, and real-world examples to enhance performance and accelerate innovation with ODB@GC.

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.

Building AI solutions on Google Cloud? This session demystifies our AI infrastructure stack, from pretrained models like Gemini to the Vertex AI managed platform, and all the way down to DIY container runtimes and virtual machines (VMs). Learn how to choose the right level of abstraction for your AI and machine learning (ML) workloads, and leverage the full power of Google Cloud’s AI ecosystem.

KPMG LLP is driving the AI-powered trend of software disintermediation using Google Vertex AI and Gemini. Together with a leading commercial banking system, KPMG developed an AI Advisor and Agent that interacts directly with the system of record, eliminating the need for employees to navigate complex screen chains. The concept, applicable across industries, can significantly reduce direct fees and employee costs. Join us to explore the implications of a future where AI Agents streamline system interactions and enhance operational efficiency.

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.

Build, deploy, and monetize AI agents on Google Cloud. This session covers the full lifecycle — development on Vertex AI, packaging, publishing, and commercialization on Google Cloud Marketplace, deployment on GKE etc., and customer access, including via Google Agentspace. We'll demonstrate leveraging the Google Cloud partner ecosystem to build enterprise-grade agents.

The landscape of retail is rapidly evolving, and leading brands are embracing the power of AI to create more engaging and personalized customer experiences. This dynamic panel explores how leading retailers have deployed Google AI technologies to optimize search functionality, personalize product recommendations, streamline customer interactions, and ultimately drive increased revenue and satisfaction.

In this session, we’ll show how Vertex AI and BigQuery make the process of integrating data into AI models as easy as 1, 2, 3. You’ll learn how to seamlessly integrate your data estate at every stage of AI development, from exploration and feature engineering to model training and deployment. We’ll also introduce our Data Science Agent and Vertex AI Feature Store 2.0, and how you can accelerate your innovation velocity with AI.

Planning to build AI agents, but unsure where to start? This session provides a practical guide to agent design for both developers and non-coders. We’ll discuss key design tradeoffs, best practices, and how to match your use case, data, and team with the right tools and techniques.