The Microsoft AI Cloud Partner Program is the primary way we engage and invest in our partner ecosystem.  The program brings everything together across the whole of the partner lifecycle, including onboarding, skilling, go-to-market, incentives, and co-selling. In this session, learn about our Partner Program, its evolution, exciting new offers and how it enables partners drive growth.

Discover how to leverage AI Foundry and MongoDB to enable the next generation of intelligent, data-driven, context-aware agents. This session demonstrates how AI Foundry’s agentic workflow integrates with MongoDB’s MCP Server to deliver secure, contextual, and scalable access to enterprise data. Through a demo of an industry use case, see how a complex business process is utterly simplified by intelligent agents — showcasing a practical path from integration to innovation.

How to build agents that remember, adapt, and grow, the next step beyond prompt engineering.

How to build agents that remember, adapt, and grow, the next step beyond prompt engineering.

Découvrez comment MongoDB révolutionne la gestion des sinistres automobiles dans cette session technique hands-on. Nous allons déployer ensemble une application qui analyse les dommages véhiculaires via l’intelligence artificielle et stocke intelligemment les données de réclamation

Atlas Search et Atlas Vector Search ont été conçus pour s'intégrer parfaitement à l'écosystème MongoDB. Découvrez les nouveautés des prochaines versions qui rendront ces services encore plus puissants et faciliteront davantage le développement, même pour les applications de recherche et d'IA présentant des exigences complexes en matière d'évolutivité ou de requêtes.

Live demo by Betsy Button (Product Manager, MongoDB).

Panel discussion exploring how technical writers share knowledge, tools, and strategies to thrive in large-scale enterprise solutions.

Panel discussion exploring how technical writers share knowledge, tools, and strategies to thrive in large-scale enterprise solutions.

In this session, you’ll learn how to build an AI agent using MongoDB Atlas on Google Cloud in just 15 minutes. We’ll cover how to embed and store your data along with vectors in a single database; build a vector search index and run search queries; and implement an AI agent.

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.

UKG is revolutionizing workforce management with AI agents and retrieval-augmented generation (RAG) systems. Join this session for a deep dive into how UKG, Google Cloud, and MongoDB collaborated to orchestrate enterprise data and put it to use powering intelligent, context-aware AI solutions that shape the future of work.

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.

In 2024, customers purchased billions through Google Cloud Marketplace, showcasing unprecedented spending power. Learn how to leverage the marketplace as your engine to drive engagement, scale growth, and maximize revenue. We'll discuss the 2025 roadmap highlighting partners who have already successfully monetized AI agents, data, and services. Don't miss this session to attain actionable go-to-market insights to boost your potential with Google Cloud Marketplace.

Delivery Hero's Quick Commerce service provides customers with an easy and efficient way to order grocery items for delivery. However, with thousands of stores and millions of products available on the marketplace, the company faces the risk of revenue loss and customer churn if users struggle to find products that meet their needs and preferences. This talk will explore how Delivery Hero developed a product semantic similarity recommender using transformer-based product embeddings and vector search to identify similar products across various points in the customer's purchasing journey. We will also discuss the challenges encountered, the solutions implemented, and the next steps for this initiative.

Join us for this session where we will explore key MongoDB Atlas features including Data Federation, Atlas Triggers, and GraphQL API. We will also dive deep into MongoDB Atlas and Google Cloud integrations, such as Vertex AI and BigQuery, and how you can leverage these tools to build and scale your apps. Leave with actionable insights on how you can build with MongoDB Atlas on Google Cloud and explore what our Startup Program can do for you.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Attention developers! Are you struggling with the complexities of integrating Al/ML into your apps? Join this practical session where we'll explore how MongoDB Atlas and Google Cloud's offerings like Vertex Al, Gemini, Codey, BigQuery, and Dataflow, provide a comprehensive toolkit for developers. In completing this session, you'll have the tools and confidence to embark on your own Al/ML journey! By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Explore Mongodb Atlas — MongoDB’s developer data platform, and learn how to integrate it with various Google Cloud services. During this lab lounge, you will create a fully managed database deployment, set up serverless Triggers that react to database events, and build Atlas Functions to communicate with Google Cloud APIs.

Additionally, you will explore Google Cloud’s NLP APIs, perform sentiment analysis on incoming data, learn how to replicate operational datasets from MongoDB Atlas to BigQuery and build an ML model for classification.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

The data landscape is evolving rapidly, with generative AI poised to revolutionize insight generation and data culture. Join experts from Databricks, MongoDB, Confluent, and Dataiku for an exclusive executive discussion on harnessing gen AI's transformative potential. We'll explore how to break down multicloud data silos, empowering informed decision-making and unlocking your data's full value with gen AI. Discover strategies for integrating gen AI, addressing challenges, and building a future-proof, innovation-driven data culture.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this session, you will learn how Rent the Runway (RTR) relies on MongoDB Atlas on Google Cloud to mix their automation hardware with their software, needing a robust, flexible, and intuitive data platform. We’ll dive into some reference architecture, highlighting some key integrations, such as Google Kubernetes Engine. We will then discuss RTR’s AI strategy, discussing how they’re approaching AI tools for their products. Lastly, we’ll discuss RTR and MongoDB’s mission of sustainability. Q&A to follow.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In the era of AI-driven innovation, organizations need databases that are flexible and powerful while also being secure and scalable. This session explores how MongoDB empowers to rapidly build, deploy, and manage intelligent applications through the lens of a developer persona. Diving into our integrations with AI Foundry, Microsoft Sentinel, and Azure Landing Zones, we’ll showcase a complete developer journey—from prototype to production—while ensuring security, and operational excellence.