The Network Source of Truth: How Engineering Teams Establish and Use These Critical Tools
This new research from Enterprise Management Associates (EMA) is based on in-depth interviews with 17 engineers who have implemented and are using Network Source of Truth (NSoT) tools. Join EMA VP of Research Shamus McGillicuddy for a webinar that will present the essential findings from this research.
The 2026 Observability Predictions are here, and EMA’s Parker Hathcock has weighed in. APMdigest’s annual holiday prediction series brings together analysts, consultants, and leading vendors to share thoughtful (and sometimes controversial) perspectives on where Observability, AIOps, APM, and IT performance technologies are headed in 2026.
Many organizations are already planning their 2026 events, making now the ideal time to add a trusted analyst voice. EMA analysts provide third-party credibility, market validation, and research-driven insights that elevate messaging and engage audiences. Let us help differentiate your 2026 events.
Securing Assets in a Complex IT Landscape: Deterministic Automation in ITAM
Modern enterprises struggle to manage thousands of devices, apps, and identities across complex environments. In this episode of Security Strategist, EZO CEO Syed Ali joins EMA’s Chris Steffen to discuss how IT asset management and automation improve visibility, reduce risk, and strengthen IT operations.
Rapid Adoption of Agentic AI Runs Ahead of Security Readiness
New EMA research shows agentic AI is accelerating fast; only 2% of large organizations have no plans for it. Yet, most are unprepared for the identity and security risks AI agents introduce. Many lack written policies but deploy agents anyway, underscoring the need to treat AI agents as first-class digital identities.
AI Dev Tools: What Automation Leaders Need to Know
In this episode of the Enterprise Automation Excellence podcast, Dan Twing and Tom O’Rourke talk with Pete Goldin about new research on AI development and DevOps tools. Adoption is high and AI is already embedded in core processes, creating cautious optimism, but major governance gaps remain. Automation leaders must prepare for shifts in CI/CD and release management as AI tools expand.
