GraphSummit New York: Why Knowledge Graphs are the Missing Link Between Data and AI Engineering

Speaker: Ramke Ramakrishnan, VP Analyst, KI Leader, Gartner

As organizations embark on the mission to deliver AI-ready data, they encounter a myriad of data management challenges. These include navigating the complexities of data structures and metadata, including relationships, semantics, context, quality, and integrity across structured, semi-structured, and unstructured data. Join us in exploring and understanding how a knowledge graph is an essential bridge linking data and AI engineering to help organizations overcome these challenges and achieve AI readiness.