Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine

Enterprises are facing an 80% failure rate for AI agents in complex tasks because these systems lack the deep understanding required to navigate established legacy environments and existing internal systems. In this episode, Eran Yahav, CTO and co-founder at Tabnine, outlines how an enterprise context engine acts as a persistent memory and mapping layer that onboards AI systems into specific business logic, security perimeters, and organizational dependencies. The conversation highlights how this infrastructure can double agent success rates and reduce token costs by 80% while allowing technical leaders to establish swim lanes that ensure agents operate reliably within complex software architectures. This episode is sponsored by Tabnine . Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner . Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

You can listen to Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine online on Radio and Podcast. Open the player on this page to stream the available audio.

Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine is an episode from Artificial Intelligence in Industry with Dan Faggella by Daniel Faggella.

This episode is 30:38 long.

This episode was published on Mar 25, 2026.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Artificial Intelligence in Industry with Dan Faggella when more episodes are available from the podcast feed.