In today’s data-driven world, extracting meaningful insights quickly from large volumes of unstructured data is crucial for informed decision-making and gaining a competitive edge. Entity extraction is key to this, as it identifies and extracts important information from unstructured text like PDFs or emails.
We’ll demonstrate a real-world use case where a talent management firm used Gen AI Fabric to automate the extraction of candidate details from PDFs, enabling advanced search, summarization, and insights for their recruitment team. This solution saves time and resources while ensuring data accuracy and consistency.
While this use case focuses on HR domain, the underlying principles, solutions, and benefits are applicable across all the functions and industries. By the end of the demo, you’ll understand the steps involved in building a GenAI-powered entity extraction solution, ready to apply to your own domain.
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