Practices and Perspectives on Data Intelligence
What we've learned in the field — about data, about AI, and about making technology truly serve business.
Enterprise Data Intelligence and AI Agent Implementation: From Data Readiness to Trusted Operations
This article explores how to ensure efficient and secure data processing and analysis in the implementation of enterprise data intelligence and AI agents by improving data readiness and achieving trusted operations.
The Key Role of the Semantic Layer in Enterprise Data Intelligence and AI Agents
This article explores the crucial role of the semantic layer in enterprise data governance and the implementation of AI agents. By constructing a unified semantic layer, it is possible to achieve data consistency and explainability, thereby enhancing the accuracy and reliability of AI agents. The article also analyzes specific applications of the semantic layer and engineering trade-offs in practi
The Semantic Layer Is Not an AI Patch—It’s an Agent’s Contract
This article reframes the semantic layer: not as a reporting alignment tool for humans, but as a machine-executable contract that governs AI agent behavior. It explicitly models data intent, permission boundaries, and execution context—ensuring lawful, auditable, and evolvable intelligent execution at runtime.
The Semantic Layer as Data Contract for AI Agents
The semantic layer is not just a configuration layer for reporting tools—it's the formal contract between AI Agents and enterprise data systems. This article analyzes its threefold role: constraint interface, audit anchor, and collaboration protocol.
The Semantic Layer Is an AI Agent Contract—Not a Speed Booster
The semantic layer should not be merely a configuration layer for BI tools—it must serve as a legally enforceable contract between AI agents and enterprise data. This article examines how ontology-driven modeling establishes trustworthy boundaries—not acceleration—for agentic workflows.
The Semantic Layer Is the Agent’s Contract
The semantic layer isn’t a decorative module—it’s the verifiable, auditable contract between AI agents and enterprise data systems. This article analyzes its role in NL2SQL, permission alignment, and ontology modeling.
Semantic Layer: The Constraint Framework for Trustworthy AI Agents
The semantic layer is not an accelerator for AI agents—it is the foundational constraint framework enabling their trustworthy operation. This article analyzes how ontology-driven semantic modeling anchors natural language queries, access policies, and executable actions to a unified, auditable data contract.
Decision Models Are Booming. Their 0.8 Isn't a Promise.
Ten vendors shipped decision models in a month — but benchmarks show nearly all are overconfident. One vendor's 0.8 isn't another's. Calibration is your job.
Same Answer, One Is Wrong: Text-to-SQL Must Be Checkable
Two AI queries return the same number; one is wrong. VeriPIE from KNOWIDEA and Georgia Tech says voting can't catch it — answers need checkable evidence.