Gartner expects 40% of organizations deploying AI to implement dedicated AI observability tools by 2028, to monitor model performance, bias and outputs including model drift and LLM logic. The push comes from executive concern about risk in complex and agentic AI rather than infrastructure or application health: AI decision-making is often hidden, and errors can mean substantial financial loss, reputational damage and regulatory scrutiny.
Summarized by AI.
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