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- EnerJ-meeting Lyon 2026: after the measurement, who decides
- From AI proof of concept to production: the five recurring blockers
- Semantic layer: why your AI agents go astray without one
- AI agents: human control as a production requirement
- Agent governance: logs, scope, human escalation
- Evaluating an AI vendor: an operational checklist for CIOs
- Custom or SaaS: framing the problem correctly
- AI Solution Factory: industrialize AI the way you industrialize software
- Enterprise RAG: what actually works beyond the demo
- Automating without dispossessing teams
- Connect the IT landscape without rebuilding it: the role of a data API layer
- When not to deploy an AI agent
- Document extraction: beyond the demo
- Document automation in pre-accounting: from PDF to a reliable flow
- Availability monitoring: what a green uptime does not say
- Building for ten years: constraints of a publisher
- SharePoint as a business system: where low-code stops
- Data microservices vs BI monolith: choosing the right grain
- Data sovereignty: operational criteria
- Product updates: what a release really changes for users
- Building energy: from meters to decisions
- Time tracking: when the tool becomes debt for teams