Here's the latest update from ADATA
[Press release] ADATA Gets Patent On Machine Learning-Based Pretreatment
Date Created : 2023-10-24ADATA (CEO Lee Dong-hyuk), a company specializing in data analysis and integration, announced on the 24th that it recently acquired a patent related to machine learning-based preprocessing, a core technology of its "A-rranger."
"A-rranger" is a data preprocessing solution for data analysis. It can automate the data preprocessing process by applying intuitive UI and UX (user interface, user experience), automating repetitive tasks, and in-memory DB methods. It was released in March.
According to ADATA, the newly registered patent is a "machine learning-based data preprocessing device and method." This technology recommends the most efficient preprocessing method to users through machine learning technology so that they can perform tasks without creating complicated scripts in the preprocessing process for implementing AI (artificial intelligence) systems.
Data analysis consists of four stages: data collection, data preprocessing, data modeling, analysis and visualization. Among them, the data preprocessing step takes more than 80% of the total process and is known to be the most difficult step.
"This patent technology enhances the efficiency of complex and difficult pre-processing operations, making it easier to perform data pre-processing," a company official said. "The data pre-processing process is considered an innovative technology in that it directly affects the results of data analysis."
In particular, based on intuitive UI and UX and no-code, non-developers can easily perform data preprocessing tasks, said Aidita.
"A-rranger can reduce the burden of data work and increase productivity by innovating data preprocessing," said Lee Dong-hyuk, CEO of ADATA. "We will help accelerate the establishment of AI systems through linkage with data visualization solutions that we have started developing."
Meanwhile, Aidita has proven that the cost of labor input compared to data preprocessing time is drastically reduced as a result of verifying "A-rranger" in public institutions.
