Capitalize on the rapidly expanding Google Workspace market, fueled by Gemini integration in every GWS contract. Optimized for partner success, discover how Google is investing in these partnerships with new incentives & benefits. Walk away with actionable steps for partners to leverage these opportunities and lean-in with Google Workspace.

The pond became a crime scene, and Gemini was the detective! Join us as we share how Gemini was used to investigate the mysterious deaths of some fish. Discover how this powerful large language model (LLM) can analyze hours of video footage to identify threats, automate responses, and help solve real-world problems – all without any pretraining or complex setup. In minutes, we’ll show you how to analyze videos and get insightful results with just a few lines of code.

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.

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!

This session delves into the practical applications of AI in transforming customer support within the travel and retail industries. We’ll examine how businesses are pairing real-time digital insights with AI-powered conversational servicing to enhance customer interactions and streamline support processes. Explore real-world examples of how these advancements are leading to significant improvements in efficiency, customer satisfaction, and agent empowerment.

This session demonstrates how BigQuery ML connects all your data to cutting-edge AI using familiar SQL. Learn practical steps to build, train, and deploy machine learning (ML) models for predictive analytics directly in BigQuery while minimizing complexity and data movement. Discover ways to perform tasks such as sentiment analysis, audio transcription, and document classification with the latest models from Gemini, Claude, Llama, and others directly in BigQuery without the need for advanced Python or specialized ML skills.

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.

Are you a DevOps engineer or site reliability engineer (SRE) tasked with keeping mission-critical applications running 24/7? What if AI could help you detect, diagnose, and resolve incidents faster than ever before? Join the session to learn how to use AI assistance to diagnose and troubleshoot incidences and improve the mean time to detect (MTTD) and mean time to repair (MTTR). Charles Schwab partnered with Google Cloud on exploring the capabilities of Gemini Cloud Assist. And in this session, they’ll share their firsthand experiences testing Gemini Cloud Assist to enhance the reliability of their login application that handles millions of logins daily. Get practical AI skills and tips that you can put into your job right away.

Introduce how easy it can be to build a fully function Flutter app with Firebase Backend. It's fast, easy, and fully function with Front-end UI, and backend task (using Cloud Function), database (Firestore), storage (Cloud Storage), and more. Additional tips on Vertex AI and Gemini in both Flutter and Cloud Function will be added if time allows.

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!

Multimodal AI is transforming how users interact with applications. Join us for an exploration of how to build secure, scalable, and intelligent multiplatform and multimodal AI apps using Flutter, Firebase, and Gemini. Leveraging Gemini's advanced multimodal understanding, we'll deconstruct the architecture of a cutting-edge app, demonstrating how to seamlessly integrate voice, image, and text interactions into your web and mobile experiences using a single codebase. This deep dive into architecture and code, along with Q&A, will empower you to create engaging user experiences powered by the latest advancements in AI, backed by Google Cloud.

Learn how Equifax is driving productivity gains by adopting Gemini & Google Workspace. We’ll cover their strategic migration from Microsoft to Workspace, which set the foundation for seamless generative AI. This session highlights their Gemini pilot for 1,000 users, focusing on practical strategies for change management & maximizing user adoption. We’ll share how Equifax empowered employees with prompt engineering & tailored use case training, offering a replicable model for organizations.

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.

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**

In the ongoing battle against cyberthreats, AI can unlock new levels of efficiency, accuracy, and proactive defense. In this session, a Google Security Operations customer will delve into practical use cases where AI is already delivering tangible benefits to security teams. We’ll also introduce new capabilities designed to automatically triage and analyze alerts. Join us to learn how you can put Gemini to work to enable more precise threat detection and faster incident response in your environment.

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.

We will delve into the practical applications of AI-assisted coding within a large organization, highlighting the specific ways Ulta Beauty's developers are utilizing Gemini Code Assist to streamline workflows. Understand how Ulta successfully gained buy-in from both management and engineering teams by demonstrating the tool's value and addressing potential concerns. Learn about Ulta's thoughtful approach to integrating new AI technologies while prioritizing security, responsible usage, and alignment with existing development processes. 

Discover how Renault transformed automotive software development (SDV) with Google Cloud. By replacing physical prototypes with Android-based virtualization, they accelerated their SDV life cycle and moved to a cloud-first, iterative approach. Learn how they leverage Cloud Workstations, Gemini Code Assist, and a continuous integration and continuous testing (CI/CT) pipeline powered by Google Kubernetes Engine and GitLab to boost developer productivity and bring new features to market faster.

Imagine a world where interacting with your data is as simple as chatting with a friend. Gemini in Looker makes this a reality, bringing the power of Google's most advanced AI models and agents directly to your BI workflows. This session explores how Gemini's genAI capabilities and Looker Agents are being integrated into Looker, empowering users to analyze data, build dashboards, and generate insights using natural language. Discover how this powerful combination unlocks new levels of productivity for BI professionals and business users alike.