Despite the incredible progress in the underlying search algorithms and approaches to determining relevant results, the way searches have been conducted and consumed by searchers has remained largely unchanged — until now.
Artificial intelligence (AI) and machine learning (ML) is on a trajectory to quickly replace more traditional means of search. Today’s users ask questions, make statements, and expect search engines to understand and return relevant results in a way that provides greater precision with contextual information and answers.
It has never been more important to prepare our content for semantic search and AI. Using experts and accurate, structured text for the storage and display of scholarly content will make it easier to extract, clean, and structure the data in order to maximize AI, ML, and ontological structures.
In this 7-minute interview between National Federation of Advanced Information Services (NFAIS) Executive Director, Marcie Granahan, and Access Innovatons’ Bob Kasenchak, you will learn what you should be doing right now to get your content ready for this next generation of search.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
