India, April 21 -- By Ramit Luthra, Principal Consultant - North America, 5Tattva
As enterprises race to embrace AI-investing in GPUs, large language models (LLMs), and intelligent automation platforms-many assume that their infrastructure is AI-ready. But amid all the innovation, a fundamental element is frequently overlooked: the accuracy of infrastructure metadata. This hidden layer of information-stored primarily in Configuration Management Databases (CMDBs)-plays a vital role in determining the success or failure of AI and cybersecurity initiatives.
Infrastructure metadata underpins everything from automated remediation and cost optimization to AI-driven incident response. Yet, when this metadata is outdated, incomplete, or mislead...
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