Structured perspectives on AI readiness, architecture, governance and platform economics — published for enterprise leaders and technical decision-makers.
Enterprises allocate 70% of AI budgets to model development and tooling, but 80% of project failures trace back to data infrastructure. Inverting this ratio is the single highest-leverage change an enterprise can make.
Hyperscaler data warehousing is powerful but expensive. For most enterprise workloads, European sovereign alternatives deliver equivalent capability at a fraction of the cost.
Before investing in AI, understand your starting point. A structured assessment prevents costly false starts and ensures investment lands where it matters most.
Most organisations do not fail at AI because of models. They fail because their data is fragmented, siloed, and inconsistent.
