What do AI observability tools actually do?

As companies quickly integrate AI into their operations, they're discovering that traditional software monitoring tools fall short when it comes to AI systems. Unlike conventional software, AI doesn't fail predictably; it drifts, sometimes producing incorrect results in subtle and intermittent ways. This leads to a gap in effective observability, making it crucial to develop specialized AI observability tools that can track these unique behaviors. This shift is significant because it impacts the reliability and performance of AI systems, ultimately influencing how we trust and deploy AI in critical applications.