When ChatGPT launched in November 2022, it sparked a revolution. Millions witnessed AI that was actually useful and intuitive. Companies rushed to invest billions, assuming consumer-facing AI would seamlessly translate to enterprise success.
The reality check has been harsh. Large Language Models were designed for individual interactions, not complex organizational workflows. What works for a person typing questions fails spectacularly when scaled to business operations requiring precision, compliance, and integration with legacy systems.
Enterprise AI requires specialized models trained on proprietary data, not generic LLMs. Companies are discovering that running a business demands contextual understanding, regulatory compliance, and process automation that current AI simply cannot deliver without extensive customization.
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