Remove Knowledge Discovery Remove Metadata Remove Modeling Remove Visualization
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Why Establishing Data Context is the Key to Creating Competitive Advantage

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Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

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From Data Silos to Data Fabric with Knowledge Graphs

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This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. Knowledge Graphs are the Warp and Weft of a Data Fabric. Create a human AND machine-meaningful data model.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

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Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

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These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Again, the overall aim is to extract knowledge from data and, through algorithms based on artificial intelligence, to assist medical professionals in routine diagnostics processes.