Instituting a Semantic Layer to Support Enterprise Knowledge Architecture

A modern data architecture requires a semantic layer to manage the exploding volumes of structured and unstructured data distributed across various platform environments. Using a semantic layer to promote consistency and simplify data access can help with mitigating information risks associated with data literacy, protecting sensitive data and preventing hallucinations, integrated bias and inadvertent data exposure associated with emerging AI technologies.

Download this comprehensive whitepaper to:

• Understand how a semantic layer helps mitigate current business challenges by adding semantic understanding, context and meaning to data
• Discover the components of semantically aware data fabrics
• Examine how a knowledge model can enable a semantic layer
• Learn how a semantic layer provides rich, context-aware data that improves the accuracy and efficiency of predictive analytics, GenAI, etc.
• Explore technology considerations for a semantic layer

If you want to learn how a semantic layer can support the success of your digital transformation and pave the way for new business initiatives and innovation, this guide is the perfect place to start.