Building reliable agentic AI systems: tool sandboxing, state management, and loops
Autonomous AI agents require deterministic guardrails, structured memory, tool execution sandboxes, and loop-termination…
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Guides
Practical guides for teams planning technology, cloud, AI, security, automation and modernization work.
Guides
9 pieces
Detecting and mitigating concept drift in operational machine learning models
When real-world distributions shift, model confidence remains deceptively high. Continuous drift detection, shadow deployments…
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Securing autonomous AI agents: least privilege, blast radius containment, and human-in-the-loop gates
Giving an autonomous agent database write access or API tokens requires strict authorization fences, transient credentials, and…
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MLOps maturity roadmap: transitioning from ad-hoc notebooks to automated CI/CD/CT pipelines
Ad-hoc data science notebooks rarely translate cleanly into reproducible production services. An incremental roadmap…
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Digital transformation roadmap: what should happen after the first workshop
A transformation workshop is useful only if it becomes a ranked sequence of decisions, owners, dependencies and measurable…
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Cloud migration checklist for applications that cannot go down
Critical applications need a migration plan built around dependency mapping, rehearsal, rollback, observability and business…
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Zero trust for mid-sized enterprises: where to start
Zero trust becomes practical when it starts with identity, device posture, least privilege and logging for the systems that…
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How to decide what to automate first
The best first automation is frequent, measurable, rule-heavy, frustrating and contained enough to deliver without redesigning…
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