Agents act through integrations. iPaaS and API vendors hold the connectors, credentials and audit trails, and MCP makes governing that layer worth more.
Every AI feature copies company data into prompts, logs, embeddings and memory. Where each copy lives, what vendors retain, and how to make deletion real.
Why AI assistants expose overshared data, how data classification fixes it, what to label first, and a 90-day plan for executives.
Enterprise search failed for twenty years. Now the permission-aware index behind every AI assistant is the control point, and its owner wins.
Running one workload across two clouds rarely pays for itself. A second cloud's real value is leverage and exit evidence. Which workloads need what.
Why banks still run mainframes, the real cost of COBOL estates, and which modernization paths work: rehost, refactor, strangler or full core replacement.
SaaS vendors keep the service up. Keeping your records recoverable is usually your job. The shared-responsibility gap, and how boards should close it.
Passkeys remove phishable passwords, but enterprise rollout hinges on synced vs device-bound keys and account recovery. A phased plan by user population.
The AI platform mandate lands on the team that owns the gates. It is the second platform consolidation, and the scope has to be renegotiated on the way in.
SLI, SLO, and SLA are three different things. How to pick targets users can perceive, and why the error budget policy is the only part that changes behavior.
Observability was sold as a product and is being re-architected as a data pipeline. That is what breaks the pricing model, not the customer anger.
An SBOM answers one question well and three not at all. What provenance, signing, admission policy, and reachability add, and the order to build them in.
Deep analysis across the systems, strategies, and economics that shape modern technology.
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