AI in Enterprise: From ‘Prompt and Pray’ to Precision
AI in the enterprise has been like hiring an unpredictable genius; you either get brilliance or complete nonsense. No business can afford to “prompt and pray,” but a new shift is fixing that.
Despite the AI hype, only 6% of enterprise generative AI projects reach deployment. The reason? LLMs are unreliable, powerful, but prone to hallucinations and costly errors.
Companies have tried using RAG (Retrieval-Augmented Generation) for better accuracy, but that’s not enough. Enter AI systems, which orchestrate LLMs with external data sources, tools, and human oversight, ensuring precision.
The future of AI isn’t about bigger models, it’s about better orchestration. Will enterprises finally trust AI enough to scale it, or are we still in the trial phase?
Read the full article on Fortune.
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