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Latest Insights
View all →Compute and Agents Are Becoming the New Platform Layer (and CTOs Need an Operating Model for It)
AI is moving from model selection to compute-and-agents as the primary architectural and business constraint. CTOs are being pushed to treat AI infrastructure—chips, data centers, multicloud networking, and agent platforms—as a strategic system, not a commodity.
AI Agents Are Forcing a New DevOps Bargain: Resilience First, Observability Without the Bill Shock
CTOs are being pulled into a new operating model where AI (especially agents) accelerates change, while resilience and cost-aware observability become the gating factors for safely scaling that change.
Observability Is Turning into a Data Platform (and Cost Is Forcing the Consolidation)
Observability is shifting from a DevOps toolchain add-on to a consolidated, data-centric platform capability—driven by cost pressure, M&A, and the operational complexity introduced by AI and multicloud
Mid Week Summary: AI is moving from “tooling” to “operations”—and the org is the bottleneck
The pattern this week
The AI Operations Stack Is Forming: Agents + Evaluation + Observability (and Why CTOs Should Standardize Now)
The center of gravity is moving from building AI features to operating AI systems: agent frameworks, evaluation metrics, and observability are converging into an ‘AI operations stack’ that CTOs must standardize now.
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Agentic AI Is Entering the Pager Rotation: Autonomous SRE Moves from Observability to Control Loops
Agentic AI is moving from copilots to production control loops: vendors are pitching autonomous SRE and AI-native observability, investors are backing closed-loop remediation platforms, and boards are hiring AI-focused CTOs to operationalize these capabilities.
AI Ops Meets Regulation: Why Incident Reporting + Eval Metrics + Autonomous SRE Are Converging
AI is becoming an operational discipline: regulation is pushing formal safety disclosure and fast incident reporting while the engineering toolchain shifts toward standardized evaluation metrics an...
The AI Platform Era Is Here: App Stores, Agentic Observability, and “Meta-Architecture”
AI is consolidating into a platform era: distribution marketplaces, capital-scale infrastructure bets, and a new engineering stack—agentic observability, guardrails, and AI-native architecture—that will reshape how CTOs design, operate, and govern their systems.
From Models to Managed Agents: Responsible AI Enters the Architecture Playbook
AI is being operationalized as a first-class production workload: governance is moving into architecture frameworks, companies are building internal agent execution platforms, and engineering orgs ...
The Transformative Impact of AI Infrastructure on Organizations and Economics
AI infrastructure is rapidly transforming organizational structures and economic strategies, as companies adapt to the demands of advanced AI technologies and associated hardware.
Frameworks
View all →C-Suite Communication Framework for CTOs
Master the art of communicating technical concepts to executives. Learn how to adapt your message for different C-suite audiences, when to escalate, and how to get buy-in for technical initiatives.
CTO Rating Framework: Comprehensive Self-Assessment
A comprehensive framework for assessing your effectiveness as a CTO and your team's functional capabilities, with weighted maturity scoring and AI-driven roadmap planning.
The Complete Technical Hiring Framework
A comprehensive framework for hiring exceptional engineers, from defining roles to making offers, with scorecards and templates.
Making Tech Stack Decisions: A Framework
A practical framework for evaluating and choosing technologies that will serve your team and business for years to come.
IT Governance & Service Management Framework Selection: COBIT, ITIL, ISO 20000, and Beyond
A comprehensive decision framework for selecting the right IT governance and service management approach. Compare COBIT, ITIL, ISO 20000, FitSM, and certifications like CGEIT and CISM to build effective IT operations.