Amit Naik.

Articles · Interviews · Enterprise AI

Media.

Talking AI.
Getting into the details.

Conversations about generative systems, enterprise data, and what it takes to make AI work in the real world.

Amit Naik presenting Stop Making Agents Guess: Engineering Context at the GatewayWatch on YouTube ↗

AGNTCon + MCPCon · Published October 30, 2026

Stop Making Agents Guess: Engineering Context at the Gateway

Why AI gateways need more than routing and token limits—and how the right context helps agents make better decisions, reduce waste, and build trust.

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YouTube thumbnail for Amit Naik discussing AI data access, context, tokens, and governanceWatch on YouTube ↗

Efficiently Connected · September 30, 2026

AI Data Access Is Broken: Context, Tokens, and Governance

Why enterprise AI depends on the data it can access—and how scoped context, token efficiency, and governed connectivity help agents act accurately and reliably.

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Published articles

BigDATAwire · August 3, 2026 · By Amit Naik

Token Optimization in Enterprise AI: How Context Architecture Determines Whether Your AI Program Scales Economically

How the design of tools, data access, and context shapes the cost and reliability of enterprise AI—and where architectural changes can make the biggest difference.

Read on BigDATAwire ↗
YouTube thumbnail for Amit Naik's interview with Shelly DeMotte KramerWatch on YouTube ↗

Kramer&Co · July 21, 2026 · With Shelly DeMotte Kramer

Connectivity, Context, and Control

Architecting the data layer for production AI—and why connecting models to live business systems matters for enterprise adoption.

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YouTube thumbnail for Amit Naik's TFiR interview on production AI agentsWatch on YouTube ↗

TFiR · May 20, 2026 · With Swapnil Bhartiya

Why AI agents fail in production

A conversation about the infrastructure around the model: context, tools, orchestration, and the trade-offs of managed agent platforms.

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