AI infrastructure is scaling fast. But can enterprises actually see and control it?
By Nalin Agrawal, Director of Solutions Engineering, Dynatrace
India’s AI adoption is moving quickly from experimentation to deployment. According to a Government of India assessment, 87% of Indian enterprises are actively using AI solutions, while only 26% have achieved AI maturity at scale. At the same time, the IndiaAI Mission is expanding access to shared AI compute infrastructure, accelerating AI development and deployment across India.
These numbers point to an important transition: AI is moving beyond experimentation into customer experiences, employee workflows and core operations, increasing the complexity of the infrastructure supporting it.
But as AI moves deeper into production, another question deserves equal attention: can enterprises actually see what their AI systems are doing, understand why they are behaving that way and control what happens when something goes wrong?
For years, technology leaders have measured digital systems through indicators such as uptime, latency, error rates and infrastructure utilisation. These...
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