India’s AI opportunity will be built on data infrastructure, not just models
By Supratik Shankar, Co-founder, Dview
Walk into any boardroom in Mumbai or Bengaluru today. You’ll hear the exact same question: “When are we deploying AI?” Every executive is under pressure. Leaders are carving out massive budgets in a scramble to keep up. But under the hood, a structural failure threatens the entire transition. The bottleneck isn’t our talent. And it isn’t a lack of ambition, either. It is simply that our internal data and knowledge around workflows is fragmented, undocumented, and unprepared for AI workloads.
We should stop blaming the models
The models work just fine and are, in fact, incredibly capable. The real issue is that most Indian enterprises cannot actually use them yet because their databases are in no shape to support AI workloads. The problem goes far beyond minor glitches and stems from siloed systems, mismatched records, and missing labels, which remain the default state of affairs...
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