The debate about sustainable IT has come of age. It is no longer about image, but about control. Those in positions of responsibility in medium-sized companies in Germany, Austria, and
TLDR From 2026 onwards, audits will no longer ask whether you use AI. What matters is whether you can provide an auditable trace for every AI decision. Establishing clear responsibilities,
CIOs need reliable decisions, not more dashboards. Monitoring with Prometheus and visualization in Grafana provides facts about usage, errors, and times. In combination with IDLS as an integrity layer, these
Why “data quality” still feels like a boring topic (and why that’s a problem) Let’s be honest: data quality rarely excites anyone. It doesn’t sparkle like “AI,” it doesn’t have
Introduction: Integration – the invisible engine of digital transformation AI, analytics, or automation – those are the topics if someone talks about digital transform.But none of those deliver results if
The 5 Pillars of an AI-Ready Data Foundation Artificial Intelligence (AI) is only as strong as the data it runs on. Yet, many enterprises rush into AI experiments without first
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