April 9-11, 2024 | Mandalay Bay, Las Vegas, NV
Join MongoDB at Google Cloud Next to meet the team, chat with an expert, hear about the latest updates, and have a drink with us! Learn how you can leverage MongoDB Atlas tools on Google Cloud to build GenAI-powered apps. Stop by our booth in the AI lounge to learn more!
Visit us at booth #720 for demos, lightning sessions, and a chat with the MongoDB team about our latest products!
Explore Mongodb Atlas and learn how to integrate it with various Google Cloud services. Join us for a hands-on workshop on April 9 from 5 p.m. - 7 p.m. PDT.
Learn from the industry’s first developer data platform, and visit our Kiosk in the AI Innovation Networking Space to learn more about GenAI.
Unwind with MongoDB immediately following day 2 of Google Cloud Next. We'll be serving up delicious food, drinks, and fun networking! Not joining at Google Next? We still want to see you there! Space is limited, so RSVP today.
Join this discussion to learn more about how MongoDB serves retail
The data landscape is evolving rapidly, with genAI poised to revolutionize insight generation and data culture.
Join this discussion to learn more about AI/ML innovations!
Learn how MongoDB Atlas and Google Cloud empower your startup!
Attention developers! Are you excited about the latest AI/ML innovations? Do you want to leverage LLM’s, Natural Language processing or build custom ML models? But are you struggling with the complexities of integrating AI/ML into your apps? Fear not- you have come to the right place! Join us for a practical 15-minute session where we will address the intricate nature of AI/ML integration and the frequent hurdles developers encounter. Together we will explore how MongoDB Atlas and Google Cloud’s offerings, including VertexAI, DuetAI, Codey, Big Query, and Dataflow, provide a comprehensive toolkit tailored to developers. We will delve into common AI/ML use cases- from sentiment analysis and fraud detection to intelligent search and personalized user experiences. By the end of this session, you will have the tools and the confidence to embark on your own AI/ML journey!
In this session, you will learn how Rent the Runway (RTR) relies on MongoDB Atlas on GC to marry 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 GKE. 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.
Attention developers! Are you excited about the latest AI/ML innovations? Do you want to leverage LLM’s, Natural Language processing or build custom ML models? But are you struggling with the complexities of integrating AI/ML into your apps? Fear not- you have come to the right place! Join us for a practical 15-minute session where we will address the intricate nature of AI/ML integration and the frequent hurdles developers encounter. Together we will explore how MongoDB Atlas and Google Cloud’s offerings, including VertexAI, DuetAI, Codey, Big Query, and Dataflow, provide a comprehensive toolkit tailored to developers. We will delve into common AI/ML use cases- from sentiment analysis and fraud detection to intelligent search and personalized user experiences. By the end of this session, you will have the tools and the confidence to embark on your own AI/ML journey!
In this session you will learn about MongoDB Atlas’s crucial features for efficient database management and its seamless integration with Google Cloud services, empowering them with powerful tools for data analysis and application scaling through the start up program.
Join experts from Databricks, MongoDB, Confluent, and Dataiku for an exclusive executive discussion on harnessing genAI's transformative potential.
We'll explore how genAI breaks down multi-cloud data silos, empowering informed decision-making and unlocking your data's full value. Discover strategies for integrating genAI, addressing challenges, and building a future-proof, innovation-driven data culture.