The semantic layer is still an emerging technology, but it will clearly play an important role in the evolution of the modern data stack.

Last week the annual Semantic Technology Conference wrapped up in San Francisco, leaving attendees with a wealth of information about the use of semantic technologies in healthcare, financial services ...

ClearStory makes use of semantic models to understand the contents of each data source and of domain specific languages and APIs to allow tremendous flexibility in both transforming data and in ...

The patent obtained by Shulian Mingpin focuses on the visualization modeling method based on intelligent semantic understanding. This technology is expected to enhance the efficiency of processing ...

Big data and its democratization is responsible for demonstrating to organizations the practical value of semantics by enabling them to maintain and improve governance principles over unruly ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

Semantic data has relationships, meaning and context, which makes this type of data more valuable. Shaping the organization Established enterprises have at least one advantage over startups ...

Leveraging structure in data is key to making progress in AI, says AI prodigy Gary Marcus. A forward-looking view on Software 2.0, AI chips, robotics, and the future of AI ...

Semantics and virtualization, data integration and data governance on the way to the cloud It's official - data analytics is swiftly moving to the cloud.

A semantic layer is a business representation of data that makes it easier for users to access data using common, business-friendly terms.