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Building Gen AI powered recommendation engine

Develop a Gen AI-powered recommendation engine that leverages advanced machine learning models to deliver personalized and context-aware suggestions, enhancing user engagement and driving smarter decision-making

GenAI fabric

HR & recruitment

Building Retrieval-Augmented Generation (RAG) Systems and Knowledge Graphs

Recommendation engines have become indispensable in the data-driven world, enabling businesses to deliver personalized suggestions that boost user engagement and satisfaction. These tools power product recommendations on e-commerce platforms, content suggestions in streaming services, and even service optimization in industries like healthcare and finance. By leveraging AI, businesses can provide targeted, context-aware suggestions that improve customer experience and drive growth.A leading healthcare diagnostics provider used GenAI Fabric to streamline operations by automating the extraction of examination results from complex PDF lab reports. With this data, the system generated personalized medical recommendations, offering actionable health insights that enhanced patient care and empowered medical professionals to make data-driven decisions.

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