Machine Learning Applications for Streamlining Paperwork in Investment Management
Machine Learning Applications for Streamlining Paperwork in Investment Management
eBook
Intelligent Document Processing in Financial Services: Use Cases
Discover the most rewarding use cases for IDP in banks and financial institutions
The data inside of financial documents represents a wealth of information…but you can only capitalize on that data when it’s visible, accessible, and able to inform action.
With 30 years of experience processing tens of billions of pages for customers globally, ABBYY is not new to addressing the real-word challenges of our customers with AI-based technology. Today, with an online marketplace of ready-to-go, pre-trained document skills, our customers are discovering more and more use cases for quickly extracting value from intelligent document processing solutions.
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This ebook shares 10+ use cases for implementing IDP in financial services to eliminate hundreds of hours of manual work, offer services to customers 30 times faster, ensure compliance with regulations, and identify new opportunities to realize cost savings in processes such as
- Mortgage and loan lending
- KYC / AML
- Trade finance
- Customer onboarding
- Wealth management
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- Title: Machine Learning Applications for Streamlining Paperwork in Investment Management
- Author: Ian
- Created at : 2024-09-29 21:04:14
- Updated at : 2024-10-06 05:35:44
- Link: https://techidaily.com/machine-learning-applications-for-streamlining-paperwork-in-investment-management/
- License: This work is licensed under CC BY-NC-SA 4.0.