The business case for real-time AI is clear. Personalization drives engagement, real-time inference drives revenue, and context-rich machine learning is becoming the baseline expectation for products. The hard part isn’t necessarily building the models; it’s the underlying infrastructure that does the heavy lifting of instantly knowing user history, preference, behaviour, and context.
But without a real-time data layer built for modern AI workloads, legacy architecture may be susceptible to unpredictable tail latency spikes, system…
