Will be attending. Ultimately a crucial next step for AI and integration of Semantic data with enterprise data and metadata.
From TopQuadrant:
Join us for a webinar on February 21, 2019 at 11:30 AM ET.
Why are knowledge graphs relevant to data governance? The answer lies in key characteristics. Knowledge graphs are:
Flexible – graphs are the most flexible formal data structures
Evolvable – able to accommodate diverse data and metadata
Semantic – the meaning of the data is stored alongside the data in the graph
Intelligent – semantics of data are explicit and enable data validation and drawing conclusions and new information from the available data.
These qualities make knowledge graphs an ideal and, arguably, the only viable foundation for bridging and connecting enterprise metadata silos – the main goal of data governance.
Join us for this webinar where we will:
Provide a brief history of Knowledge Graphs
Give examples of what they are good for
Show how they provide a powerful platform for integrated data management and governance ... "
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment