Improving Data Management With Use of Artificial Intelligence
Artificial Intelligence (AI) plays a crucial role in data management practices by enriching various aspects of data handling. AI cannot replace essential data management processes, instead it will enhance productivity and the value derived from data. Performing data cleaning and integration requires a significant manual effort, so by allowing AI to automate routine data management tasks such as those, will save you time and effort. It can also provide advanced capabilities like predictive analytics, where AI algorithms can identify patterns and trends in data to forecast future events or behaviors.
Here are some ways AI transforms data management:
- Classification: AI can obtain, extract, and structure data from various sources. It can also enable content moderation
- Cataloging: By automating data discovery and indexing, AI is helpful with locating data efficiently
- Quality Enhancement: The algorithms used in AI reduce errors in data by identifying inconsistencies, validate data against predefined rules, and improves overall data quality.
- Security & Compliance: It helps protect data from unauthorized access and can detect anomalies and suspicious activities to prevent data breaches. It can also ensure compliance with laws, policies, and privacy regulations.
- Data Integration: By merging data from various sources, AI essentially creates a master list and gives an organization a unified view of their data.
There are specific AI-driven data analytics tools like Microsoft Power BI that empowers users to find insights hidden in the data. Some key features of hundreds of data visualizations, built-in AI capabilities, Excel integration, and pre-built custom data connectors.
AI has the potential to significantly transform data management by making it more proactive, predictive, and productive, leading to better business outcomes. Who would not want that?
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