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 …
Kāore anō kia whakamāoritia tēnei wāhanga
Ka whakamahia te STT.ai hei whakahua i tēnei wāhanga me te AI. Ka whiwhi tuhipānui tika me te kite kaikōrero, ngā tātaitai wā, me te kawe mai i ngā hanga maha.