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126 Articles

The Semantic Layer as a Strategy for Reducing Data Risks

Opinions and Analysis

The Semantic Layer as a Strategy for Reducing Data Risks

The article argues that standardizing metric definitions, business rules, and access points within a single semantic layer can reduce the risks of conflicting numbers, weak governance, and failed change implementation across analytics and artificial intelligence tools. However, it emphasizes that this layer does not fix poor-quality data and cannot replace an organization’s commitment to standardizing definitions.

2026-07-31

Stack Overflow Launches a New Stack Internal Experience to Build a Trusted Knowledge Layer for AI

Artificial intelligence

Stack Overflow Launches a New Stack Internal Experience to Build a Trusted Knowledge Layer for AI

Stack Overflow announced new capabilities in Stack Internal that transform knowledge distributed throughout an organization into verifiable, usable context for teams and AI agents. The updates include connectors for Stack Internal Community, Google Docs, and Slack; a conversational interface that displays confidence levels and answer sources; as well as API and MCP integrations and permission-based access controls.

2026-07-30

Why Do Developers Become Attached to Their Tools? Because They Embody Trust in the Development Process

Programming and Software Development

Why Do Developers Become Attached to Their Tools? Because They Embody Trust in the Development Process

The article discusses how developers’ trust in tools is shaped by familiarity and clear processes, and why AI agentic coding tools reveal weaknesses in the software development life cycle instead of automatically solving them. It concludes that building trust requires human responsibility and processes that can be shared and improved, not merely new tools.

2026-07-29

Microsoft Tracks Companies’ Shift from AI Experiments to “Frontier Transformation”

Artificial intelligence

Microsoft Tracks Companies’ Shift from AI Experiments to “Frontier Transformation”

In its FY26 review, Microsoft examines how organizations have moved from testing artificial intelligence to integrating it into core operations, focusing on agents, systems governance, and the accumulation of knowledge and data within the enterprise. The company presents examples from multiple sectors, including financial services, healthcare, manufacturing, and retail, supported by customer-reported performance indicators.

2026-07-28