Data Consumer

Data consumers are entities that utilize data for various purposes, ranging from training machine learning models for prediction tasks (like building energy optimization or subscriber data consumption forecasting using ARIMA or neural networks) to conducting scientific research in fields such as medical imaging. Current research focuses on optimizing data usage efficiency, including exploring optimal data splits for model training and evaluating the impact of data volume and feature selection on model performance. This research is crucial for improving the reliability and cost-effectiveness of data-driven applications across diverse domains, from resource management to scientific discovery, by addressing challenges like data scarcity and efficient data pricing strategies in marketplaces.