ABBYY & Machine Learning: From OCR To Intelligent Automation
Can technology truly understand the nuances of human language and the complexities of visual information? The rise of Machine Learning (ML) and its applications in areas like computer vision and natural language processing are rapidly transforming how we interact with technology and how technology interacts with the world around us.
Machine Learning is no longer a futuristic concept; it's a present-day reality. Companies and organizations across the globe are leveraging the power of ML to streamline processes, improve accuracy, and unlock new possibilities. From automating document processing to enhancing healthcare outcomes, the applications are vast and continually expanding. ABBYY, a global leader in digital intelligence, is at the forefront of this evolution, constantly pushing the boundaries of what's possible. Their work provides valuable insights into how ML is reshaping our world. ABBYY's FlexiCapture 12 has been enhanced with ML technology to improve the speed and accuracy of enterprise content processing.
| Aspect | Details |
|---|---|
| Company Name | ABBYY |
| Industry | Digital Intelligence, Intelligent Document Processing (IDP), OCR |
| Key Products/Technologies | FlexiCapture, FineReader Engine, Vantage, Neoml |
| Core Functionality | Automated Document Processing, Data Extraction, Computer Vision, Natural Language Processing |
| ML Applications | Document Classification, Data Extraction from Structured and Unstructured Documents, Image Preprocessing, OCR |
| Languages Supported | Over 200 Languages |
| Key Features | Advanced Machine Learning algorithms, Adaptability to various document types, Cloud and On-Premise Deployment Options |
| Notable Developments | Integration of Neoml, Continuous Framework Updates, Enhanced Accuracy and Speed in Content Processing |
| Reference Website | ABBYY Official Website |
ABBYY's success lies in its commitment to innovation. The company has introduced machine learning techniques to solve complex tasks in OCR processes and enable intelligent document processing. Their modern intelligent document processing (IDP) platform is designed to streamline operations across various deployment scenarios. The platform delivers a unified experience whether deployed on-premise, in the cloud, or accessed by developers. Their approach enables them to understand documents in over 200 languages and effortlessly handle complex tables, handwriting, checkmarks, barcodes, signatures, and more.
The technological advancements within ABBYY showcase the power of Machine Learning. Their work in enhancing the accuracy and speed of processing enterprise content highlights the tangible benefits of ML in today's digital landscape. ABBYY's machine learning technology uses interest points such as logos, separators, and frequently used document words to build a heatmap of field locations, resulting in more accurate data extraction. The ABBYY FineReader Engine provides an API for document classification, allowing users to create applications that automatically categorize and sort documents into predefined classes. These document classification systems leverage modern technologies like ML to improve efficiency.
The core principle of ML is the automated identification and use of relevant characteristics from a set of training documents. The system automatically recognizes common characteristics in a category of documents and uses these to create the classification model. This approach, according to Ivan Yamschikov, AI evangelist at ABBYY, focuses on security, speed, and flexibility. These factors contribute to the advantages of using machine learning. ABBYY Vantage, built upon machine learning and AI, intelligently identifies documents and extracts insights accurately while continuously learning and improving. With the inclusion of fast machine learning, accuracy climbs above 95 percent. Users benefit from accurate predictions for their process outcomes, which in turn makes processes more efficient. This saves time, money, and labor.
Behind the scenes, the ABBYY team works hard to update the framework. They moved to Azure DevOps for regular assemblies, added support for new platforms, and expanded the list of available algorithms. This includes improving the productivity of the system. Neoml is a comprehensive machine learning framework which enables users to create, train, and implement machine learning models. ABBYY engineers use Neoml for computer vision and natural language tasks, including image preprocessing, classification, document layout analysis, OCR, and data extraction from structured and unstructured documents. Neoml supports over 100 types of neural network layers and more than 20 traditional machine learning algorithms. This versatile tool can be adapted for a wide range of applications.
As Philippe Poutonnet, Product Marketing Lead at Google Cloud, has observed, ML is a continually evolving field. Over two decades ago, ABBYY introduced machine learning techniques to solve various tasks in the OCR process and enable intelligent document processing. Since then, these techniques have matured and become robust tools. The ABBYY team has worked on expanding the list of algorithms available and improving the productivity of the system.
The company's focus on continuous improvement and innovation underscores their commitment to providing cutting-edge solutions. ABBYY continues to invest in research and development, ensuring that its products and services remain at the forefront of the digital intelligence landscape. With an eye towards the future, ABBYY is well-positioned to continue leading the way in how we interact with and leverage the power of data.
Machine learning frameworks are increasingly used to improve patient experiences in healthcare, for example, as ABBYY continues its approach to trustworthy AI. This approach allows ABBYY to provide state-of-the-art ML-based solutions. For example, FlexiCapture 12 enhanced machine learning (ML) technology to further improve the accuracy and speed of processing enterprise content.
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