AI in business: it's not a lack of tools, it's choosing the right one

▤ Summary

The article argues that many enterprise AI projects fail because companies choose the wrong tool, not because AI itself lacks value. It contrasts general-purpose LLMs with specialized small language models, especially for regulated insurance workflows that require precision, compliance, and repeatability. It also emphasizes sovereign, on-premise deployment as a practical requirement for sensitive data and cost control. The piece positions SLMs as a better fit for claim handling, document processing, and customer operations in insurance.

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