VP of Strategic Technologies & Digital Automation at PiF Technologies
MSP
Top 10
2024-12-02T18:41:00Z
Dec 2, 2024
The most significant area for improvement in the KODAK Info Input Solution is its ability to support custom definitions and auto-learn. Currently, it lacks the crucial capability to automatically learn and adjust extraction models when data is extracted from incorrect areas. While this feature is reportedly on the development roadmap, the absence of auto-learning puts KODAK at a disadvantage compared to competitors like Ancora, which offers this functionality. Ideally, the system should identify extraction errors, update the model accordingly, and then correctly extract data from similar invoices in the future.
Head of the Geomatics Unit at a energy/utilities company with 11-50 employees
Real User
Top 20
2024-11-25T15:46:00Z
Nov 25, 2024
Integrating KODAK Info Input Solution with other software, such as Laserfiche, presents challenges due to inadequate documentation and an unintuitive web services interface. The lack of clear guidance necessitates reliance on individuals with prior experience, while the insufficient documentation compels the hiring of Python experts to ensure successful integration.
Intelligent Document Processing leverages AI to efficiently manage and analyze unstructured data, enhancing operational workflows by automating document handling and extraction processes.AI-driven algorithms in IDP streamline the management of unstructured data, facilitating the extraction and processing of information from various document formats. This solution integrates seamlessly with existing workflow systems, offering scalability and flexibility. Enterprises adopting IDP solutions...
The most significant area for improvement in the KODAK Info Input Solution is its ability to support custom definitions and auto-learn. Currently, it lacks the crucial capability to automatically learn and adjust extraction models when data is extracted from incorrect areas. While this feature is reportedly on the development roadmap, the absence of auto-learning puts KODAK at a disadvantage compared to competitors like Ancora, which offers this functionality. Ideally, the system should identify extraction errors, update the model accordingly, and then correctly extract data from similar invoices in the future.
Integrating KODAK Info Input Solution with other software, such as Laserfiche, presents challenges due to inadequate documentation and an unintuitive web services interface. The lack of clear guidance necessitates reliance on individuals with prior experience, while the insufficient documentation compels the hiring of Python experts to ensure successful integration.