Why CIOs need to rethink enterprise content architecture for the LLM era
By Siddhartha Vanvani, Founder & CEO of DareAISearch
Every CIO understands the cost of technical debt. Over the last two decades, enterprises have invested heavily in modernizing infrastructure, consolidating applications, migrating to the cloud, and reducing the inefficiencies created by legacy technology. Technical debt became a boardroom discussion because leaders recognized a simple truth: systems built for yesterday eventually become barriers to tomorrow.
As organisations accelerate their AI ambitions, a similar challenge is beginning to emerge. This time, however, the problem is not hidden in code. It is hidden in content.
Most enterprises today sit on decades of accumulated knowledge. Policy documents, SOPs, product manuals, training material, intranet articles, customer support documentation, presentations, reports, and knowledge repositories have grown organically over time. While these assets may have served employees reasonably well in a search-driven world, they were never designed for how Large Language Models (LLMs) consume, interpret, and retrieve information.
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