How Metinvest transforms data management and document search
In this case study, we explore how Metinvest uses Knowledge base on Microsoft SharePoint with enhanced search and machine learning capabilities
Organization:
Metinvest - international steel and mining group
The solution aims to streamline document management and search processes in large enterprises by leveraging machine learning and multilingual search capabilities.
Problem
The common way for big enterprises is to use Microsoft SharePoint as document storage and a knowledge base. Access management, security, and data governance are essential for such types of solutions. Also, having terabytes of data, document management and search become the real challenge.Solution
A multilingual search with enhanced machine learning capabilities allows decreasing documents management time and improving document discovery and search relevance.Azure OpenAI may significantly improve the search process by providing a more relevant search result and document categorization quality.
Features
- Full-text, attribute-based, and category-based multilingual search
- Linked documents identification
- Document duplicates discovery
- Meaningful information extraction from documents
- Automated document categorization
- Data access management based on Azure Active Directory organization’s permission model.
Technologies & frameworks
- Microsoft Azure
- Blazor
- Azure Cognitive Services
- Azure Machine Learning Studio
- SharePoint SDK
- Microsoft Graph SDK
- Milvus