In this episode, Russ speaks with AWS Senior Technical Account Manager and streaming AI specialist Harshit Kohli about the emerging role of the Model Context Protocol in enterprise AI. The conversation explores why AI deployments stall inside large organizations, how MCP changes the architectural map, and what enterprises should expect as streaming intelligence becomes mainstream.
Kohli also breaks down security risks, modernization pressures, and why real time AI will force companies to rethink how they govern access to their systems. This is a fast, practical look at the infrastructure shift happening under today’s AI hype cycle.
Guest: Harshit Kohli
LinkedIn: https://www.linkedin.com/in/harshit-kohli-99801543/
Chapters 00:00 Welcome to the Winner’s Circle
00:42 Harshit’s background and AWS role
02:11 What the Model Context Protocol actually solves
04:00 Why MCP matters for enterprise scale
06:25 Real use cases emerging from early adopters
09:10 Streaming AI and real time context
11:18 New security challenges raised by continuous data flow
14:00 Batch versus real time architectures
17:05 How AI turns cloud data from storage into action
20:15 What legacy systems lose in the next five years
23:30 Private LLMs and regulated industries
25:10 The biggest misconception about AI adoption
26:30 Closing thoughts
If you enjoy the show, follow new episodes and subscribe at:
www.bintelligence.com/podcast