Machine Learning in Document Management Systems By Manish Surve

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What is Machine Learning in Document Management Systems?

A DMS powered by artificial intelligence and machine learning can:

• Automatically classify documents by topics

• Analyze relationships between documents

• Enable intelligent search and retrieval

 

Key Capabilities:

✓ Automatic Classification

✓ Content Analysis

✓ Intelligent Processing



Machine Learning Life Cycle Example

Implementation Process:

1. Data Collection: Gather historical documents

2. Feature Selection: Identify target variables (e.g., "readmission")

3. Model Training: Apply ML algorithms

4. Deployment: Integrate into DMS workflow


Why is the Machine Learning Life Cycle Important?

Benefits:

• End-to-end implementation

• Structured methodology

• Delivers measurable ROI

• Scalable solutions






My References

  1. https://resources.m-files.com/blog/5-ways-ai-in-document-management-will-make-your-business-more-efficient-3
  2. https://hackernoon.com/7-benefits-of-ai-enabled-document-management-systems-6wb63udx
  3. https://www.goodfirms.co/blog/best-free-open-source-document-management-software
  4. https://artificialintelligence.oodles.io/blogs/document-management-system-with-artificial-intelligence/
  5. https://www.datarobot.com/wiki/machine-learning-life-cycle/
  6. https://en.wikipedia.org/wiki/Document_management_system

Show your love by sharing my work, that will mean a lot to me.

SAYONARA!

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