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Enterprises spend billions on artificial intelligence, yet half of new models never leave the sandbox. According to recent data, only forty-eight percent of pilot projects reach production within twelve months. David Ohnstad examines this deployment paradox, revealing why feedback loops and real-world data are essential to bridging the gap between heavy investment and actual enterprise value. Full article: https://davidohnstad.net/state-of-ai-machine-learning-enterprise-software-2026/
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