The hidden cost of AI: Why businesses may be spending more than necessary?
By Ritu Mehrotra, Co-founder & CEO of Shunya Labs
As artificial intelligence moves from experimentation to large-scale business adoption, organisations are beginning to face a growing challenge: the rising cost of making AI work well. While companies are investing in models to boost productivity, automate tasks and improve customer experiences, the technology behind these applications can carry significant operational costs.
The real cost of AI is not limited to buying hardware or paying for cloud services. It also includes the computing power needed to process data, the time required to generate a response, the cost of correcting errors and the human effort involved when systems do not work as expected. When these inefficiencies occur thousands or even millions of times, they can add significantly to spending. The question for businesses is no longer just how powerful an AI model can be, but whether it can deliver reliable results quickly and...
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