Artificial intelligence is becoming the backbone of modern business – but its success depends entirely on data quality. To deliver real value, AI needs high-quality, centralized, and securely managed data. That's why data governance is now one of the most critical strategic priorities.
Relying solely on SaaS APIs is not enough. Without a consolidated IT environment and systematic data integration, AI remains an isolated tool. Think of AI as an engine – and structured, integrated data as its fuel. This means collecting, validating, securing, and making data accessible across the organization.
The solution lies in a unified data stack, built either through full-suite solutions (e.g., Microsoft, Google) or flexible open-source options (like Apache, MinIO, LibreOffice). The key layers of such a stack are:
AI is not a plugin – it’s a company-wide system connecting people, processes, and technology. Think of AI as the brain of the living and breathing data stack of the entire company. Businesses that master their data without disrupting existing workflows will thrive in the AI era. Others will keep asking why AI “doesn’t work” for them.
To succeed, it’s essential to choose the right software provider with deep data and AI expertise.
Author: Oldřich Příklenk
Picture: chatgpt
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