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

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

Author: Daniel Faggella March 25, 2026 Duration: 30:38
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!

Hosted by Daniel Faggella, The AI in Business Podcast cuts through the technical jargon to focus on what matters for leadership. This is a conversation for executives and decision-makers who know artificial intelligence is a strategic imperative but need clarity on how to actually integrate it. The focus is squarely on identifying real-world opportunities, ensuring AI projects align with broader business goals, and ultimately demonstrating a tangible return on investment. Rather than theory, each episode delivers grounded insights through interviews conducted by Emerj's research team with top AI practitioners. Their guests come directly from the trenches of major Fortune 2000 companies and pioneering unicorn startups, sharing firsthand accounts of what works. You'll hear specific use-cases, emerging trends, and the often-overlooked best practices that separate successful adoption from costly missteps. This podcast provides a direct line to the actionable knowledge needed to make informed, confident decisions about where and how to apply AI in your organization. It’s an ongoing resource for any leader looking to move beyond the hype and translate capability into concrete business advantage.
Author: Language: English Episodes: 100

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