You alone can control your own data
While AI is becoming more accurate and useful as it learns from larger amounts of data, issues involving personal privacy violations are becoming increasingly serious.
AI inside believes that you alone should be able to choose whether or not to share your personal data for AI model training.
Conventional AI requires sufficient learning data to achieve practical levels of accuracy. To achieve both privacy protection and AI accuracy, AI inside has established privacy protection technologies and has also developed products that let users consent to the use of personal data.
The services and products provided by AI inside ensure that clear consent is obtained. No access to personal data takes place without your permission, and no data is ever provided to third parties.
In addition, data for which you have permitted for use (by AI inside) is used only for the improvement of service, after processed by privacy protection technologies that prevent identification of individuals.
Initiatives for privacy protection
The Intelligent OCR used on DX Suite is equipped with privacy control features that let you set whether AI-based learning takes place.
When turned on, permission is given for AI-based learning and data is used to improve OCR accuracy. Conversely, when turned off, AI does not learn from your data. Whichever selection is set, AI technology updates from AI inside can be received without restriction.
AI inside Cube is an edge computing device designed to run a variety of AI operations. The CPU and GPU enable the use of AI in a closed environment, without providing data to AI inside.
This enables both the promotion of digitalization and privacy protection, without the conventional trade-off between the two. We have a proven track record of adoption by companies that require advanced security protocols, such as the financial service industry.