Dr. Borovica-Gajic’s research aims to revolutionise data exploration and insight discovery in complex databases, prevalent in data-rich industries and scientific fields. By automating traditionally cumbersome and labour-intensive tasks pertaining to data(base) preparation and finetuning currently performed by costly experts, Dr. Borovica-Gajic’s self-driving databases harness Machine Learning and Artificial Intelligence to uncover hidden patterns buried in the data critical for enhancing business processes, cutting costs, and driving scientific breakthroughs.
Unlike traditional methods that require specialised expertise, these self-driving databases guide users through their exploration journey by intuitively directing them towards relevant patterns identified within the data. Leveraging user intent as a guiding principle, databases can actively identify and present intriguing patterns, transforming from passive data providers into proactive partners in exploration. This not only enhances the efficiency of data analysis but also fosters new discoveries driven by user interactions with the system.
Self-driving databases may have profound implications for society and the economy by democratising data exploration and analysis, lowering entry barriers for non-experts in businesses, scientific institutions, and healthcare.
2024
Data analysis, Automation, Accessibility