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Recommendation engines are crucial tools in today’s data-driven world, helping businesses provide personalized suggestions to their users. Whether it’s suggesting products to buy, content to consume, or services to use, recommendation engines enhance user experience and drive engagement.
In this demo, we will walk you through the process of building a recommendation engine using GenAI Fabric.
We’ll demonstrate this using a real-world use case from a healthcare diagnostics provider who leveraged GenAI fabric to automate the extraction of examination results from PDF lab reports, generate medical recommendations, and deliver actionable health insights to improve patient care.
Although this example focuses on healthcare, the underlying principles, solutions, and benefits are applicable across all industries. By the end of the demo, you’ll have an understanding of the steps involved in building a GenAI-powered recommendation engine, ready to apply to your own domain.
