Gartner predicts 40% of organisations deploying AI will use AI observability to monitor model performance by 2028
Forty percent of organisations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner, Inc., a business and technology insights company.
“AI is everywhere, but most organisations are still figuring out how to monitor and trust these systems,” said Padraig Byrne, VP Analyst at Gartner. “That visibility gap makes scaling risky and that’s why observability matters. Unlike traditional software, AI’s decision making is often hidden, making it hard to explain or trust, yet errors can cause substantial financial loss, reputational damage and regulatory scrutiny.”
Gartner analysts are exploring observability and AI trends at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Sydney this week.
Gartner defines observability as the characteristic of software and systems that enables them to be understood based on their outputs and enables questions about their behaviour to be answered. AI observability requires dedicated tools...
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