The development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

With the right data management tool and strategy in place, organizations can fuel advanced use cases to remain ahead in an ...

Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away ...

An industrial knowledge graph is the output of data contextualization and represents the connections between the many data types. This graph ensures that LLMs can understand and provide reliable ...

This process, enhanced with sophisticated contextualization services, automatically maps data into a unified namespace. The result is a dynamic industrial knowledge graph, simplifying access to ...

Because knowledge graphs link data in smart ways ... including automated enrichment via relationship discovery, content contextualization and a better understanding of the meaning of data.

What makes graph databases like Neo4j unique is their focus on the connections between individual data entities. Graph-based data models have become central to modern machine learning and ...

while seamlessly providing process orchestration and data contextualization ... by adding a platform that unifies data into knowledge graphs, offers holistic control of the scientific workflow ...

Challenges in data utilization due to lack of metadata and contextualization Data sharing across the BioPharma industry is hindered by time-consuming verification and approval processes.

The NLP Contextualization feature is included with the Cognigo platform to help organizations take control of their data and ensure regulatory compliance. New regulatory and privacy laws (GDPR, CCPA) ...