The article argues that successful AI integration in businesses hinges on adopting an "AI-native infrastructure" rather than simply bolting AI onto existing systems. AI-native infrastructure is designed around AI's capabilities, encompassing five layers: interfaces, agents and business logic, models and evaluation, data and integrations, and infrastructure and observability. This approach contrasts with bolt-on AI, which often fails due to a lack of ground truth, defined rules, proper measurement, and clear ownership. The author emphasizes that AI-native design inherently includes governance, referencing the NIST AI Risk Management Framework, and suggests starting with one process to build out all five layers before scaling. AI
IMPACT Businesses need to adopt AI-native infrastructure for effective and measurable AI integration, moving beyond simple bolt-on solutions.
RANK_REASON Article discusses a conceptual framework for AI integration in business, not a specific product release or event.
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