As enterprises invest an ever-increasing percentage of their tech budget on AI, they expect it to deliver groundbreaking efficiencies and more informed decision-making. But there’s a problem many don’t see coming: Latency.
For AI systems to be beneficial, they must be able to access and process data quickly, whether they’re generating content, classifying data or making real-time decisions. Every millisecond counts. The root cause of lag in many AI pipelines isn’t the model or the compute layer; it’s the database.
