Revolutionizing Research with AI-Powered Analytics: A Comprehensive Solution for Efficiency and User Experience

The use of AI will be seamlessly integrated into our solution, with enhancements to metadata and conversational discovery at the forefront. An assistant powered by generative AI will play a key role in the system, communicating insights and delivering a user-friendly experience while applying advanced analytics. By handling administrative tasks, this assistant will allow users to focus their efforts on making decisions rather than gathering and analyzing data.

One of the main features we are planning to implement is a conversational assistant powered by generative AI. This intelligent interface is designed to simplify analytical queries, making research analytics accessible to users of all levels of expertise in data analysis and research evaluation. Additionally, the assistant will create impact narratives that tell a story about the data, emphasizing both traditional publication and citation indicators as well as societal impact.

The platform will also include tools for chart summarization, providing users with concise and easy-to-understand summaries of charts to quickly identify key insights. Another feature will be author matching, where AI will connect authors to their works and organizational units within the system. Furthermore, the platform will help users discover funding opportunities by linking emerging research topics, researcher profiles, and department profiles to relevant funding opportunities. By integrating AI in these various ways, our solution aims to streamline processes and enhance the user experience.