Understanding Knowledge Mining
Knowledge mining, a branch of artificial intelligence, harnesses intelligent services to rapidly extract insights from vast data sets. It empowers organizations to delve deep into information, unveil hidden patterns, and comprehend relationships at scale with ease.
Semantic Search and User Intent
Discover how semantic search capabilities within knowledge mining grasp user intent to rank pertinent search results based on context. This feature enhances user experience by delivering the most relevant information.
Data Ingestion and Extraction
Azure Knowledge Mining allows content ingestion from diverse sources like Azure Blob storage, Azure SQL Database, and third-party connectors. It extracts text-based content from various sources, including PDFs, Microsoft Word, and CSV files.
Knowledge Mining Workflow
The knowledge mining process comprises three key phases: ingest, enrich, and explore. Ingest data from multiple sources, enrich it using AI capabilities to uncover insights, patterns, and understanding, and explore the indexed data through search, bots, or visualizations.
Product Integration and Customization
Azure Knowledge Mining seamlessly integrates with Azure AI Search, AI Services, Machine Learning, and Bot Service to offer tailored solutions for industry-specific needs. Organizations can leverage these services to enhance cognition and streamline processes.
Applications Across Industries
From content research to customer support analysis, knowledge mining finds applications across industries. It aids in auditing, compliance management, business process optimization, customer feedback analysis, digital asset management, and contract management.
Building Knowledge Mining Solutions
Discover how organizations leverage knowledge mining to create accurate bid proposals, streamline business processes, and enhance customer support. Get started with Azure Knowledge Mining to unlock hidden insights from your data.
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