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A Path Toward Trusting Agentic NetOps
Explore how AI is reshaping network operations and why trust remains the ultimate barrier to adoptio...
AI is Making “As-Code” Inevitable
Discover why AI is accelerating the return of as-code architectures and how declarative systems enab...
The Data Trust Convergence: Are Observability, Quality, and Governance Becoming the Same Thing?
Data observability, quality, and governance are converging into data trust. EMA’s Herb Blecher expla...
From the Briefing Room to the Research Desk: Why I Joined the Analyst Ranks
EMA analyst Parker Hathcock shares why he joined the analyst ranks, his ServiceOps focus, and how re...
The Great Device Reset: Mapping the 2025 Management Landscape, the Linux Management Blind Spot, and the 2026 Shift
Explore EMA research on the 2025–2026 device management shift—from fragmented visibility to AI-nativ...
The Data Will Never Be Ready (and that’s not a bad thing)
As AI scales, data quality becomes a human challenge. This article explores why governance, ownershi...
A Scammer Sent Me His Source Code? A Cautionary Tale of the Dangers of Vibe Coding
A scammer accidentally emails his AI-generated Python source code instead of a scam message, exposin...
Empathy and Judgment in Data Quality: The Role of the Data Analyst
Why data quality depends on human judgment and empathy—not just AI—and how data analysts play a crit...
The “Triple Threat” of 2026: Why Your AI Workforce Is Your Biggest Security Blind Spot
In 2026, AI agents create a new security blind spot as agentic risk, identity governance gaps, and v...