Update introduction.md

Author: wmwxwa

articles/cosmos-db/introduction.md

@@ -14,6 +14,8 @@ adobe-target: true
 
 [!INCLUDE[NoSQL, MongoDB, Cassandra, Gremlin, Table, PostgreSQL](includes/appliesto-nosql-mongodb-cassandra-gremlin-table-postgresql.md)]
 
+> OpenAI relies on Cosmos DB to dynamically scale their ChatGPT service – one of the fastest-growing consumer apps ever – enabling high reliability and low maintenance.” – Satya Nadella, Microsoft chairman and chief executive officer
+
 Today's applications are required to be highly responsive and always online. They must respond in real time to large changes in usage at peak hours, store ever increasing volumes of data, and make this data available to users in milliseconds. To achieve low latency and high availability, instances of these applications need to be deployed in datacenters that are close to their users.
 
 Recently, the surge of AI-powered applications created another layer of complexity, because many of these applications currently integrate a multitude of data stores. For example, some teams built applications that simultaneously connect to MongoDB, Postgres, Redis, and Gremlin. These databases differ in implementation workflow and operational performances, posing extra complexity for scaling applications.