How enterprise knowledge graphs can proactively reduce risk
Incorporating knowledge graphs with artificial intelligence offer newfound ability to seek out data security threats instead of simply reacting once noncompliance or data losses occurs
Why dynamically visualizing relationships in data matters
The ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them
Solidifying security analytics with artificial intelligence knowledge graphs
AI knowledge graphs can augment security analytics by linking knowledge together to pinpoint relationships and patterns related to security issues pertinent to an organization.
Navigating time in knowledge graphs
The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration
The marvels of an event-based schema
When working with various data types at the speed of big data, this method is ideal for integrating and aggregating assorted information for the holistic value it provides
Harmonizing big data with an enterprise knowledge graph
In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models
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