Tech Race: Why AI makes systems matter more than software, according to SOFTSWISS

Denis Romanovskiy, Chief AI Officer at SOFTSWISS, contends that many organizations misunderstand what genuine AI transformation entails. Rather than simply deploying new tools or software, companies must fundamentally rethink their operational systems and infrastructure to support AI-driven workflows effectively.

This perspective challenges the prevailing narrative in tech circles, where vendors often emphasize software capabilities over systemic integration. Romanovskiy's argument suggests that sustainable AI value creation depends on organizational readiness—including data architecture, process redesign, and accountability frameworks—rather than technology alone.

For iGaming operators and platform providers, this distinction carries significant implications. Implementing AI for player personalization, fraud detection, or risk management requires more than licensing advanced algorithms; it demands integration with existing systems, staff training, and clear performance metrics. Organizations that treat AI as a bolt-on solution risk underperformance and wasted investment.

The Tech Race Summit 2026 will likely explore these themes further as industry leaders debate how to extract genuine competitive advantage from AI. Operators seeking to differentiate themselves may find that systematic, thoughtful implementation outperforms rushed deployments focused purely on technological novelty.