India, Oct. 21 -- Cisco's Splunk State of Observability 2026 report brings that challenge into focus. While 85% of Indian respondents said monitoring AI workloads was a priority, 43% struggled to control AI costs, and 46% could not effectively measure workload metrics such as large language model response quality.

The research surveyed 2,050 IT operations and engineering professionals across 10 countries. Indian respondents reported stronger capabilities than the global sample on several measures. Even so, the findings reveal a sizeable gap between prioritising AI monitoring and putting it into practice.

The cost challenge extends beyond how much enterprises spend. It also concerns whether they can anticipate that spending.

Unexpected ...