The Next Generation of Knowledge Management

In the recent feature article published in KMWorld titled “The Next Generation of Knowledge Management,” industry experts explore how organizations are moving beyond traditional frameworks to deliver smarter, more responsive knowledge-driven systems.

One of the standout contributions comes from our CEO, whose insights underscore the power of graph-driven knowledge platforms in shaping this evolution. What this encapsulates is a shift in focus: knowledge management is no longer just about storing content or tagging documents—it’s about weaving people, processes, systems and content together, in real-time, so the right insight is available at the right moment. The article highlights how knowledge graphs and retrieval-augmented generation (GraphRAG) are key enablers of this shift.
KMWorld

“Implicit to almost every significant use case relying on advanced machine learning models is the need to centralize, or consolidate, knowledge from respective sources. Whether that process involves a knowledge graph, vector store, or some other infrastructure, “GenAI can help a lot with knowledge management if your GenAI can talk to every database you have,” Aasman said. “But, GenAI needs to know what is the schema of every database and how to transform the data so I can combine it with data from another database.” When organizations adopt approaches or solutions that can accomplish these objectives, they can apply their knowledge much more meaningfully.”

At Franz Inc., we’re proud to be at the forefront of this transformation—helping clients bring together disparate systems into unified, intelligent knowledge platforms that deliver actionable outcomes. If you’re ready to move beyond static content management and into responsive, insight-driven knowledge ecosystems, we’d love to talk.