Knowledge Management
Mushroom’s Solution for Knowledge Management works by building a graph of enterprise knowledge that can be queried using human-like language based on underlying relationships between data. The cornerstone of this solution is to prepare and annotate data that could existing in various shapes and forms, including structured and unstructured data.
Data Curation
Enterprise Knowledge Graphs and Ontologies
Process Discovery
Overview
Mushroom Solutions is a company that offers a unique approach to knowledge management. Their solution is based on building a graph of enterprise knowledge that can be queried using human-like language based on underlying relationships between data. The cornerstone of this solution is to prepare and annotate data that could exist in various shapes...
Benefits
Mushroom’s solution offers a number of benefits to organizations, including improved access to information, a better understanding of data, increased efficiency, better decision making and better collaboration. By using Mushroom’s solution, organizations can make better use of their data and improve their overall efficiency and effectiveness.
How it works?
Mushroom Solutions works by building a graph of enterprise knowledge that can be queried using human-like language based on underlying relationships between data. The solution is based on three key components: data curation, enterprise knowledge graph, and process discovery.
Technologies
Mushroom’s solution uses Natural Language Processing, Graph databases, Machine Learning, Text mining, Big data platforms and cloud technologies to build a knowledge management solution that is easy to use and can handle large...
Use Cases
Mushroom’s solution can be used in a variety of different use cases to improve access to information, increase efficiency, reduce risk, and extract insights from data. It can be used to improve customer service, business intelligence and research.
FAQ's
Mushroom Solutions can handle a wide range of data, including structured data, such as databases and spreadsheets, and unstructured data, such as documents and emails. The solution uses text mining to extract information from unstructured data