MongoDB: The Data Platform at the Heart of Enterprise AI

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MongoDB’s Gustavo Loewe explains how the business is providing the flexible data platform needed for AI-powered success

MongoDB was founded in 2007 to fix what legacy databases got wrong. Its modern data platform is built around a document model that mirrors how builders think and code — flexible, performant and unconstrained by rigid structures. Today, it powers some of the world’s most complex workloads, including next-generation AI applications.

Most businesses are under intense pressure to integrate AI into their operations, but many are hampered by data trapped in siloed, legacy systems. MongoDB addresses this directly by bringing together operational data, search, analytics and AI capabilities in a single platform, so teams can work with the messy, dynamic and unstructured data that underpins modern applications without juggling multiple systems.

As organisations race to move beyond early AI experiments, fragmented data and legacy infrastructure remain the biggest barriers to production. MongoDB is built to remove them. Today, it powers mission-critical workloads for 62,500+ customers across 125+ cloud regions worldwide.

By simplifying how organisations manage and operationalise data, MongoDB is helping enterprises move AI from promising pilot to everyday business infrastructure.

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