With Release 1.1.0, CIB ridmi features a locally integrated AI model. This allows the solution to be used in a GDPR-compliant manner while also meeting the relevant EU security regulations. Thanks to the new model and optimized document processing, CIB ridmi has significantly improved in performance and practicality, particularly in public administration and other data-sensitive areas.
Manage billing processes in a structured and audit-compliant manner
Benefits of PDF/UA conversion:
- Accessibility for people with visual impairments
- Improved searchability and organization
- Support for accessible and inclusive communication
CIB ridmi automates this complex process and significantly reduces the amount of manual work required.
Local AI Power: Security Meets Innovation
A key advancement in the new CIB ridmi is the integration of local large language models (LLMs) running on GPU infrastructure. This enables AI-powered document and image analysis without sensitive corporate data ever leaving the organization’s own infrastructure.
Key Benefits of Local AI Integration
- Sensitive data remains entirely within the company's own systems.
- AI processes run efficiently and with minimal resource consumption on GPU hardware.
- No reliance on external cloud services.
The state-of-the-art image-to-text model, optimized for image-to-text conversion, enables precise and fast processing. Integration is handled via an OpenAI-compatible interface, which allows for the use of new AI features without additional customization.
Other key improvements in the new CIB ridmi include new features for nested lists and optimized table recognition. These result in more accurate results and enhance user-friendliness.
Precision in Every Structure: Mastering Nested Lists
Documents often have complex structures and contain multi-layered hierarchies and nested structures. The new CIB ridmi can now recognize lists of any nesting depth while preserving the original document structure.
How users benefit:
- Legal documents with multi-level outlines are processed just as precisely as academic papers with detailed subheadings.
- Screen reader users can navigate documents more easily because the logical structure is preserved and the relationships between elements become clearer.
This improvement significantly enhances the accessibility and readability of complex content.
Understanding Tables: When Data Tells a Story
Tables often contain key information, such as in financial or analytical reports. The improved table recognition in CIB ridmi ensures that this data is interpreted semantically correctly and remains understandable even in complex table structures.
Improvements in table recognition:
- Recognition of linked cells, multi-line headings, and different formatting.
- Accessible tables that preserve their original meaning and readability.
For businesses: Documents containing large amounts of data will become even more accessible, marking an important step toward barrier-free document processing in the business world.
Tested and ready for production use
Before new features are made available in CIB ridmi, they undergo a comprehensive quality assurance process.
Important exams:
- The local AI integration was tested on various GPU configurations (e.g., RTX 3090 and A10G).
- The improved list and table recognition has been validated using real-world documents from various industries.
Automated tests continuously monitor system stability and output quality, ensuring that potential issues are detected and resolved in a timely manner.
Sustainability and Responsibility
By integrating local AI, CIB ridmi is committed not only to data security but also to sustainability:
- Sensitive documents remain within the company's own infrastructure.
- Energy-efficient resource utilization thanks to intelligent quantization.
Investing in local AI technology not only offers improved performance, but also reduced reliance on external services and lower operating costs.
The benefits for businesses and government agencies:
- Greater control over sensitive data
- Reduced long-term operating costs
- A more sustainable and cost-effective IT architecture
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