Augmented Data Management Defined
Augmented data management (ADM) combines artificial intelligence and machine learning capabilities to allow information management categories to become self-configuring, self-tuning and self-sufficient. ADM allows for faster, more scalable, and better business decisions.
Augmented data management allows this to occur by automating a variety of manual tasks, allowing users of any technical skill level to use data more autonomously. ADM converts metadata used for audits, lineages and reporting to powering dynamic systems.
The five areas where ADM is being incorporated to expedite data preparation activities include:
- Data quality
- Master data management
- Data integration
- Database management systems
- Metadata management
In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.
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