In today’s fast-paced digital world, organizations are constantly looking for smarter, more efficient ways to manage documents. With the latest release of IRISNext, document processing takes a giant leap forward, introducing powerful AI-driven features designed to automate and improve efficiency. Whether you’re looking to streamline metadata extraction, automate document classification, or harness the power of on-premises and cloud-based AI models, this update brings cutting-edge innovations to the table.
Keep reading to discover how IRISNext is redefining Intelligent Document Processing (IDP) and how your organization can benefit from it.
Introducing the AI-Powered IDP Assistant
At the heart of this update is the new Intelligent Document Processing Assistant, a sophisticated tool that leverages artificial intelligence to automate and refine document handling. Key functionalities include:
Unified Integration of AI Components: LLMs and Beyond
One of the standout features of IRISNext is its seamless integration with multiple AI engines, making document processing more intelligent and efficient than ever before. The platform now supports a broad spectrum of AI models, including:
| Google AI and OpenAI | These cloud-based solutions bring deep learning capabilities to document analysis, improving data extraction accuracy. |
| Microsoft Azure AI | Enhances OCR and intelligent text processing for structured and unstructured documents. |
| Ollama LLMs (On-Premises) | Provides enterprises with full control over their AI processing without relying on external cloud services. |
| Amazon Textract | Powers advanced text and handwriting recognition, further refining document indexing and search. |
| OpenNLP, Mallet, and Tribuo | These models enhance language processing and classification, making document tagging and categorization more precise. |
With these AI integrations, IRISNext significantly reduces manual processing times while ensuring high accuracy and security.
Integration of LLM and SLM Models: Flexibility and Efficiency
IRISNext supports both Large Language Models (LLMs) and Small Language Models (SLMs), offering organizations the flexibility to choose the best solution for their needs. LLMs are powerful and capable of understanding complex contexts and generating high-quality responses but require significant computational resources. On the other hand, SLMs are more lightweight, designed for specific tasks with faster processing speeds and lower hardware requirements.
By integrating both types of models, IRISNext ensures that organizations can optimize performance based on their operational priorities—using LLMs for deep content analysis and SLMs for real-time, efficient processing of structured data.
In conclusion, IRISNext Version 10.1 represents a significant leap forward in Intelligent Document Processing. By integrating AI-driven features and enhancing existing functionalities, IRISNext continues to empower organizations to manage their documents more efficiently, securely, and intelligently.
