
Contents
Data-driven decision-making is crucial for business success, but organizations face a growing challenge of complexity and data governance. These challenges make it difficult to access data in a unified way.
In Part 1, we explored the semantic layer through the lens of MVC, and in Part 2, we outlined its benefits. In this final piece of the series, we examine the integration of a semantic layer with artificial intelligence and why it might be the best place to start with GenAI. Let’s explore the integration of semantic layers with existing data infrastructure and AI.
Continue reading the full article at Cube.dev →
The full article covers:
- How semantic layers and AI complement each other for natural language data querying
- The architecture and components behind AI-powered semantic layers
- Real-world use cases including AI chatbots, business dashboards, and data exploration
- Future developments and potential of AI-semantic layer integration
Full article published at Cube.dev - written as part of my services