Revolutionizing Company Analysis through Historical Data Digitization
In a groundbreaking collaboration, Morpho AI Solutions (Morpho AIS) and Toyo Keizai have set a new precedent in the field of digital data by leveraging cutting-edge AI technology to convert historical articles from 'Kaisha Shikiho' into accessible digital formats. Established in the heart of Tokyo, Morpho AIS specializes in advanced AI applications, and their innovative approach, utilizing the proprietary FROG-AI-OCR technology, brings a wealth of past insights to modern analysis.
Project Overview
The initiative aims to make previously inaccessible textual data from the first issue of 'Kaisha Shikiho' up until 1985 available for analysis. This encompasses a rich tapestry of information spanning several critical periods, including pre-war Japan, post-war recovery, the high economic growth era, and the bubble economy. Each article features comments from reporters that provide in-depth analysis and perspectives on various companies. This digital transformation allows researchers and analysts to delve deeper into corporate dynamics beyond conventional quantitative data, enhancing their understanding of historical business contexts.
Enhanced Analytical Capabilities
The newly digitized data opens up transformative avenues for analysis. Users can perform word frequency analyses, sentiment assessments, and other multidimensional approaches that were previously unattainable. Accompanying this exceptional data resource are unique corporate identification codes and the option to supply panel data. These features will facilitate the tracking of corporate trends and industry shifts over time, contributing to the discovery of new insights.
Example of OCR Output Data
FROG-AI-OCR: A Leap in Recognition Technology
The key player in this initiative is the FROG-AI-OCR technology, which stands at the forefront of AI and image processing innovations. This advanced optical character recognition (OCR) system is capable of rapidly and accurately converting complex formatted documents into text, making it a game-changer for digitizing historical data.
For more information, visit our
FROG-AI-OCR service page.
Data Structuring Technology
Following OCR, the unstructured text data is transformed into structured information through a combination of logical processing and AI. This process enables companies to convert dormant data into actionable assets, facilitating improvements in business efficiency, driving digital transformation, and supporting the creation of new business ventures.
About Morpho AI Solutions
Founded in December 2019, Morpho AIS is committed to supporting corporate transformations and the development of new businesses through the power of AI and data analytics. Their primary focus areas include AI-OCR, AI cameras, infrastructure maintenance automation, data management for blueprints, and factory automation solutions. Located in KANDA SQUARE, Chiyoda, Tokyo, the company aims to redefine operational capabilities in various sectors.
Corporate Information:
About Morpho Inc.
Morpho Inc., established on May 26, 2004, focuses on cutting-edge research and development in image processing and AI (Artificial Intelligence) technologies. With its advanced imaging technologies, Morpho supplies software solutions for smartphones, semiconductors, and automotive applications globally, pushing forward various innovations in imaging technology.
Corporate Information:
For inquiries, please contact:
Morpho AI Solutions
Email:
[email protected]
Conclusion
The collaboration between Morpho AIS and Toyo Keizai exemplifies how innovative technology can revitalize historical data, paving the way for deeper corporate insights and enhanced analytical capabilities. This project not only preserves the past but also enriches the future of business research and analysis.