Your Next Step for
Analytics at Scale

Knowledge mining is an emerging discipline in artificial intelligence (AI) that uses a combination of modular services to quickly learn from vast amounts of information. It allows organizations to understand and easily explore information, uncover hidden insights, and find relationships and patterns at scale. Using Microsoft Azure’s AI-powered Azure Cognitive Search services to comb through all of your data (PDF files, email messages, scanned documents, images, etc.), this text-analytics technique is like having a crew of experts constantly reviewing your most important documents, organizing them based on subject matter and relationships.

The cognitive services incorporated in Knowledge Mining allow for companies to deeply understand their information, explore it, and uncover insights that were not previously as readily available prior to Artificial Intelligence (AI), and enables your team to quickly find valuable data that would otherwise be buried in documents. Having contracts, memos, presentations, human resource files, schematic documentation, and any other type of hard or soft copy data available at one’s fingertips is invaluable to any company in this fast-paced, digital world. By orchestrating various modular AI capabilities, knowledge mining on Microsoft Azure delivers an enhanced experience that enables organizations to gain insights faster from content that would otherwise remain untapped. There are three phases to knowledge mining: ingest, enrich, and explore.

Additional steps in Knowledge Mining, including Form Recognition and Document Classification, give users the ability to run searches on certain types of files. Furthermore, an analytics tool, such as Microsoft Power BI, can be utilized to extract business insights and trends from the readily available data and expose the results to users at all levels of the company.