Blog | DNA Solutions — Enterprise Modernization & AI Insights

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Over 20 years building mission-critical systems for T-Systems, the European Commission, Satellic, and Deutsche Telekom. Here we share what we have learned about making AI, data, and cloud work in practice.

In retail, margins are small. Profitability comes from ultra-targeted, AI-powered marketing.

Net margins hover between 2% and 5% for most European retailers. Every euro spent on marketing that doesn't convert is a euro the business can't afford to lose. Here's how data-driven marketing changes the P&L.

Retail and marketing: when AI understands your customers better than your team does

A retailer with 340,000 loyalty members thought they knew their customers. Behavioral clustering revealed 14 profiles that cut across every segment they'd built. Their highest-value customers weren't who they thought.

Why European companies need to rethink where their AI actually runs

Most companies adopting AI rely on US-based hyperscalers. For anything touching customer data or regulated processes, that's a risk that deserves serious scrutiny. The regulatory window to fix it is closing.

AI culture debt: why your teams aren't ready for AI (and how to fix it before it's too late)

Everyone talks about technical debt. But there's a more insidious debt, rarely named: the cultural gap between what an organization thinks it can do with AI and what its teams can actually absorb.

Your technical debt is blocking your AI projects. And nobody talks about it.

52% of enterprises declare reducing technical debt a top priority in 2026. But in practice, most investment goes toward maintenance, not transformation. Here's why your legacy infrastructure is the real obstacle to AI — and what to do about it.

Legacy IT? 5 things you can fix yourself

80% of ML models never reach production. After 50 deployments, here are the patterns that separate success from expensive experiments.