6 Real-Time Data Platforms for Powering AI Applications
A model can be extremely capable and still produce the wrong result because its view of the business is several hours old. A support agent may tell a customer that an already-resolved ticket is still open. A recommendation system may promote an item that has just sold out. A fraud model may receive a transaction only after the money has moved. An autonomous agent may make a reasonable decision based on an account balance that is no longer accurate.
The fix is not a better model. It is a better data pipeline. Real-time data platforms move changes out of production databases, event streams, and business applications quickly enough that an AI system works from what is true now, not from what was true at the last nightly batch job.
These platforms do not all solve the problem the same way. Some copy database changes as they happen (change data capture,...
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