Everyone wants enterprise AI. Very few are talking about where the data lives, who controls it, and how it stays secure. At Cisco Live, I sat down with Rajeev Khanolkar, Chief Strategy Officer at Gruve, to discuss the launch of PulseAI Platform and why the future of enterprise AI may look very different from the public AI services dominating today's conversation.

A few key takeaways:

* Many organizations are still struggling to move beyond AI experimentation because security, governance, and data control remain unresolved

* Enterprise AI cannot be a one-size-fits-all model. Different workloads require different deployment approaches depending on where data resides

* The ability to run AI on-premises, in the cloud, or across hybrid environments is becoming increasingly important as enterprises balance innovation with compliance and risk

* Security can no longer be bolted on after deployment. It needs to be part of the AI architecture from the start

* Pre-integrated platforms can significantly reduce the time and complexity required to move AI initiatives into production

One point that stood out to me:

The AI race isn't just about building better models. It's about giving enterprises the confidence to use AI with their most valuable data while maintaining control, security, and flexibility.

Great conversation with Rajeev on private AI, enterprise security, and what organizations should be thinking about as they scale AI adoption.

#data #ai #ciscolive #gruve #observability #api #agents #theravitshow