Case Study: Iguazio achieves secure, production-ready AI data foundations with MongoDB

Iguazio cuts call duration by 50% with MongoDB

The customer, iguazio, an AI company acquired by McKinsey & Company, faced the challenge of operationalizing generative AI applications at scale for its multinational clients. Their challenge was to build a reliable and secure data infrastructure that could serve multiple AI use cases and move projects from experimentation to production. They turned to the vendor MongoDB and its product MongoDB Atlas to build a strategic data foundation.

The solution implemented by MongoDB provided a single, mature database platform capable of handling various data types and access patterns, including vector data for AI. This eliminated the need for iguazio to manage multiple disparate databases. As a result, iguazio could build more efficient AI applications for its clients; one measurable impact was the ability to shrink call center durations by at least 50% while also increasing customer satisfaction.

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