The AI advantage is moving beyond the model (www.techradar.com)

The enterprise AI landscape is shifting from a focus on model performance to the broader ecosystem surrounding AI applications. As foundational models converge in capability, organizations are recognizing that competitive advantage lies not just in selecting the best model, but in how they operationalize these models effectively. This evolution emphasizes the importance of a supporting "harness," which includes contextual data, governance frameworks, and integration with enterprise tools, to transform AI into a reliable operational asset. In addition, the article introduces the concept of "loops," which shifts AI interactions from simple prompts to comprehensive task management that includes validation and correction processes. This transition enables organizations to create self-improving systems that generate valuable performance records over time. The necessity for effective orchestration—coordinating diverse AI tools and workflows across various business domains—and robust governance to ensure compliance and accountability emerges as crucial for scaling AI applications. Ultimately, the future of enterprise AI hinges on integrating these components into a cohesive operational strategy rather than merely competing on model selection.