Unstructured or semi-structured data can be converted into useful information with the use of intelligent data processing (IDP). IDP captures, extracts, and analyzes data from emails, PDFs, images, and other unstructured/semi-unstructured data sources using AI-based technologies such as Natural Language Processing (NLP), machine learning (ML), and computer vision.
Intelligent character recognition can recognize standard text as well as different handwriting fonts and styles. IDP can transform various data structures and apply the resulting information to business applications or workflows.
To improve processing quality, ML improves document classification, information extraction, and data validation.
Advanced automation extracts relevant information from unstructured and analog data in a faster and more accurate manner. It extends the rules-based processes found in document processing algorithms.
As your project partner, CEIBA ensures that all elements of the Integrated Data Intelligence cycle interact seamlessly. Finally, you will gain trustworthy insights for your strategic and operational business.
Increase security by storing documents and personal information in a secure, digital location. Due to compliance and security regulations, this is especially important in the financial and healthcare industries.
Costs are reduced because automation reduces processing time, which reduces operational costs and better utilizes employee time. The completed document is saved in a format that allows it to be integrated with existing applications.
IDPA begins with the rethinking process, it then targets modern, AI-based document processing to make the content immediately available and actionable exactly when and where it’s needed.
Intelligent document processing can be done using a variety of AI-based technologies like NLP, ML, and computer vision algorithms