Context Is the New Bottleneck

In the evolving landscape of artificial intelligence, the text emphasizes the critical importance of context over merely relying on semantic layers to achieve accuracy in AI-driven decision-making and insights. Context encompasses the implicit knowledge a human possesses, such as fiscal calendars and business-specific definitions, which AI lacks unless explicitly provided. As AI models become commoditized and widely available, the differentiator shifts to how effectively an enterprise provides context to these models. The text outlines four types of context—technical, semantic, business, and operational—and introduces the concept of "context intelligence," which is essential for selecting, ranking, and applying the right context at query time. This context intelligence requires capabilities like resolution, schema linking, ranking, and attribution to ensure accuracy and adaptability. The text argues that while traditional semantic layers are necessary, they are insufficient for the dynamic and conversational nature of modern AI interfaces, which require a broader architecture that integrates governed context, a trust loop for continuous improvement, and the ability to self-heal and adapt as business environments change. This comprehensive approach, involving governed context and intelligence layers, ensures that AI systems not only provide accurate and relevant insights but also continuously evolve and improve over time.

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