The use of AI will revolutionize the way data is analyzed and presented, with a conversational assistant powered by generative AI at the forefront. This intelligent interface will 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 the societal impact as well as traditional publication and citation indicators.
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 seamlessly integrating AI throughout every aspect of the solution, including enhancements to metadata and advanced analytics, this system aims to streamline processes and enhance the user experience. An assistant powered by generative AI will play a key role in this process, effectively communicating insights and delivering a user-friendly experience while handling administrative tasks so that users can focus their efforts on making decisions rather than gathering and analyzing data.