Why AI Agents Are Forcing Enterprises To Rebuild Their Data Foundations
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Enterprises have spent years accumulating data. Making it usable for AI is proving harder.
Systems built for different teams, functions, and use cases have left information scattered across databases, applications, and workflows. For AI systems expected to reason across an organisation, having data somewhere is not enough. They need to find it, understand what it means, and use it in the right context.
The gap is becoming visible as Indian businesses move AI from pilots to production. According
Systems built for different teams, functions, and use cases have left information scattered across databases, applications, and workflows. For AI systems expected to reason across an organisation, having data somewhere is not enough. They need to find it, understand what it means, and use it in the right context.
The gap is becoming visible as Indian businesses move AI from pilots to production. According
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