This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.
The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.
Modern collaboration means and mechanisms ultimately make it easier, less risky, and more productive for organizations to work together within business units, between them, and between organizations. Constructs such as data mesh architecture, data fabric architecture, data access governance platforms, data catalogs, and process automation solutions are based on sharing information between parties—and make doing so tenable.
It borders on the incredible the speed at which KM tools, products, and services have evolved recently, creating challenges for those charged with identifying the best ones for their KM projects. We hope that our Readers' Choice winners' list will be a resource for you to choose wisely.