June 4 : With enterprise AI, the magic often doesn't come from the model’s raw capability alone. It comes from connecting the model to genuinely valuable data – customer records, financial data, internal documents, support tickets, source code and everything else that makes a business run.
That's where things get complicated.
As frontier AI systems become more capable, organizations are under massive pressure to give them deeper access to sensitive information. The challenge is no longer just getting hold of powerful AI (availability becomes cheaper and almost always trickles down). It's figuring out how to use it without creating a privacy, governance or compliance headache in the process.
There's potentially an interesting story here around whether the next bottleneck in enterprise AI adoption isn't model availability alone, but trust in the underlying data architecture.
If you're exploring the implications of frontier AI for Indian enterprises, I'd be happy to connect you with Amruta Moktali, CPO at Skyflow, who can speak to the intersection of AI, data privacy and governance.
