Event
{Event}  Speak at a MongoDB event! We'll be hitting the road in 2023 and we’re looking for speakers to join us.

MongoDB at
Google Cloud Next

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!
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Learn more about Google Cloud Next
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Location

Moscone Center,
747 Howard St,
San Francisco, CA 94103 (Map)

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Date

August 29 - 31, 2023

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Meet with us

Schedule a meeting with the team to learn more on how you can leverage MongoDB on Google Cloud!

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Google Cloud and MongoDB – an iconic duo.

With MongoDB and Google Cloud, you get sophisticated data intelligence and analytics and developer-centric tools needed to power modern, data-driven applications. Come see for yourself at Google Next by joining one of our sessions or stopping by our booth!
Learn more
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Visit our Booth

Stop by our booth to chat with experts, snag exclusive swag, and check out some demos of the latest products!

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Come to our session!

Join us at one of our three sessions where we explore AI/ML, natural language processing, and data analytics.

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Party with us

Join us on August 29 from 7-10pm for refreshing drinks, delicious snacks, and networking with fellow Google Next attendees! RSVP today to save your spot!

Featured sessions
Sahir Azam, Chief Product Officer

Unleash data analytics and AI: Insights from industry executives

August 29 at 2:45 p.m. - 3 p.m.

Join our interactive powerhouse panel of industry leaders from MongoDB, Databricks, and DataRobot who are leveraging the power of data analytics and AI to drive innovation and business growth for customers

Benjamin Flast, Lead Product Manager

Neo4j, MongoDB, Snorkel Large language model training: tackling data challenges

August 29 at 12:15 p.m.

Join this discussion to learn more about machine learning models.

Stanimira Vlaeva, Developer Advocate and Google Developer Expert for Angular

Streamlining AI/ML Integration for Developers with MongoDB Atlas and Google Cloud

August 30 at 2 p.m.

Are you excited about the latest AI/ML innovations? Do you want to leverage LLMs, Natural Language processing or build custom ML models? Join us

Streamlining AI/ML Integration for Developers with MongoDB Atlas and Google Cloud

Attention developers! Are you excited about the latest AI/ML innovations? Do you want to leverage LLMs, 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 PaLM, VertexAI, BigQuery, 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!

Neo4j, MongoDB, Snorkel Large language model training: tackling data challenges

Building and training machine learning models is a complex and challenging process. It requires a significant amount of computing resources, an understanding of statistical principles, and the ability to collect and clean data. Join Google Cloud, Neo4j, MongoDB and Snorkel for tips from industry experts.

Unleash data analytics and AI: Insights from industry executives

Join our interactive powerhouse panel of industry leaders from MongoDB, Databricks, and DataRobot who are leveraging the power of data analytics and AI to drive innovation and business growth for customers. Gain firsthand insights into real-world examples revolutionizing industries. Discover use cases, success stories, and best practices for unlocking the true power of data-driven decision-making and AI innovation. Don't miss this opportunity to stay ahead of the curve and unlock the full potential of your organization's data strategies.