Why your AI doesn't understand your business (& how teams fix it)

AI systems often struggle to effectively understand and integrate specific business contexts, leading to inaccurate outputs despite having access to the necessary data. This issue typically arises not from the models themselves but from the contextual information they are provided, which may be outdated, incomplete, or conflicting. For enterprise AI to be useful, it must reason over precise, current business states, such as specific customer contracts or up-to-date policies, rather than relying on static or outdated snapshots. The solution involves enhancing the infrastructure layer to ensure the AI receives fresh, relevant context at the time of reasoning, rather than merely increasing the size of the models. Redis Iris offers a real-time context engine that integrates features like fast retrieval, semantic caching, and hybrid search to provide accurate and timely context, thereby improving the effectiveness of AI applications in dynamic business environments.

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