1. Introduction The healthcare industry is facing rapid changes due to technological advancements. Particularly, as artificial intelligence (AI) technology continues to develop, various attempts are being made to introduce AI into healthcare. The introduction of AI is bringing innovations in various areas of healthcare, from disease diagnosis to treatment. Among these, Large Language Models (LLMs) […]
smart cities 1. Introduction A smart city integrates technology and data to make urban living more efficient and convenient. In these cities, data plays a crucial role in various sectors such as transportation, construction, and environmental management. Recently, the use of ‘Synthetic Data’ has gained significant attention. This article explores the importance of data utilization […]
Spatio-Temporal Data
In the AI-driven age, data privacy and accessibility are paramount concerns for businesses across the globe. CUBIG’s innovative DTS(Data Transformation System) addresses these concerns by providing a seamless and secure way! With this you can generate private synthetic data which is very similar with your own data directly on your local servers. Hereβs a closer […]
Anomaly detection is essential across industries such as finance and healthcare, where identifying unusual patterns can signal fraud, errors, or other significant issues. Traditional methods for training anomaly detection models often struggle due to the limited availability of high-quality, labeled data. Synthetic data offers an innovative solution, transforming the landscape of anomaly detection. Understanding Anomaly […]
The Importance of Synthetic Data in Telecommunications Industry The importance of data in the telecommunications field is growing. The data used in this field is essential for optimizing network performance, improving user experience, and developing new services to adapt to rapidly changing technological environments. However, collecting and processing all the appropriate data for each case […]
Disaster Data Disasters occur unexpectedly and can cause significant damage. To effectively respond to and minimize the impact of such disasters, accurate information is crucial. Analyzing emergency situations based on data is advantageous for predicting future disasters and devising appropriate measures. However, collecting data on emergency situations is challenging, and the available data may be […]
performance
Data diversity is a fundamental aspect of AI development and deployment that is often underscored for its critical importance. As AI systems become drastically embedded in various fields of current society, from healthcare and finance to education and entertainment, the diversity of data used to train these systems is paramount. The diversity is not just […]