“In current data management technology environments, the logical data structure of a relational database management system cannot totally satisfy the requirements for a full conceptual definition of...
In today's data-driven world, businesses and organizations face the challenge of efficiently organizing and harnessing vast amounts of information to drive insights and informed decision-making....
This blog post is taken from the Q&A portion of our recent Knowledge Graph Lightning Demo Showcase. The knowledge graph demo showcase hosted five unique knowledge graph use cases:
In this blog post you will find the documented conversation between myself, Sr. Knowledge Graph Engineer Boris Shalumov, and Knowledge Graph Expert and CTO Sean Martin. Below you will find the...
Recently, knowledge graph project leaders from Merck KGaA, Bosch, and Deloitte sat down with knowledge graph expert Mike Atkins for a lively discussion of their vision for knowledge graph technology...
At Cambridge Semantics, Inc. my team and I work with a diverse array of customers across such verticals as Life Sciences, Healthcare, Financial Services, Government and Manufacturing. Even though...
This post discusses some history of knowledge graph technology, what went wrong, and key advances that have allowed knowledge graphs to reenter the enterprise “data arena.” We also highlight some...
This article describes the concept of the knowledge graph, how knowledge graphs support data interoperability and some of their benefits. The reader will gain an understanding of what a knowledge...
With projections of billions of connected devices by the beginning of the next decade, expectations for the IoT are decidedly high. Yet with mere weeks remaining in the current decade, those...
For most organizations, the vast potential of machine learning and Artificial Intelligence is still limited to fringe use cases. These back-office deployments are typically silos restricted to data...
