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Knowledge Graphs Empower Your Data To Do More

Knowledge graphs use the connections between data to infer new insights . By enriching the underlying data with contextual information , they improve our ability to engage in complex decision-making .

Introduction

Graph data has become ubiquitous in the last decade . Graphs underpin everything from consumer-facing systems like navigation and social networks , to critical infrastructure like supply chains and policing . A consistent theme has emerged that applying knowledge in context is the single most powerful tool that most businesses have . Through research and experience , a set of patterns and practices called knowledge graphs has been developed to support extracting knowledge from data .

This report is for information technology professionals who are interested in managing and exploiting data for value . For the CIO or CDO , the report is brief yet thorough enough to provide an overview of the techniques and how they are delivered . For the data professional , data scientist , or software professional , this report

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provides an easy on-ramp to the world of knowledge graphs , and a language for discussing their implementation with peers and management .

Our fundamental tenet is that knowledge graphs are useful because they provide contextualized understanding of data . They achieve this by adding a layer of metadata that imposes rules for structure and interpretation . We ’ ll illustrate how using knowledge graphs can help extract greater value from existing data , drive automation and process optimization , improve predictions , and enable an agile response to changing business environments . �

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