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How an event driven data platform for service-to-service communication has enabled ML and AI use cases in Saxo – Martin Secher Skeem & Martin Markac – Saxo Bank

5+ years ago, Saxo introduced a new reference architecture mandating that all new service-to-service communication is implemented using a centralized Kafka data platform. Some of the objectives were

A highly available and scalable async / event driven interfaces rather than sync / batch connections. Centralized governance of data contracts, ownership, schema evolution and well documented contracts.

The investment now pays dividends in new ways – such as supporting AI with a robust, well documented, low-friction, real-time data foundation.

Key takeaways:
– Async event driven service-to-service communication can enable services, but also AI beyond classic batch data warehousing
– A robust governance model on the schemas used by the producers extends into analytical use cases and pays off for everyone

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