Becoming AI-native requires companies to shift their operational practices rather than merely integrating AI features, emphasizing learning, measurement, and continuous improvement over traditional software development methods.
This approach helps teams adapt to the probabilistic nature of AI systems by fostering a culture that treats failures as opportunities for data collection and system refinement, ultimately leading to more robust internal adoption before external deployment.
Read the full article at DEV Community
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