‘The question is no longer how much AI can produce, but how much of that output is genuinely usable’: How we…

For years now, vendors have been competing on benchmark scores, inference speed and model capabilities as businesses try to work out where AI can fit in with their daily workflows, but experimentation has evolved into actual deployment and what’s important is changing.

Accuracy and measurable business outcome is now more important than ever, with questions around return on investment, accountability and governance being raised across all sectors.

This is especially important in ecommerce, for example, where AI-generated imagery must be totally accurate. Marketers no longer have any qualms over using AI to produce ad variants and subtle market tweaks, but the quality of the output needs to be consistently high to ensure that the product is being accurately reflected.

Even the smallest changes in color, texture or dimensions can have major reputational risks, like a drop in customer trust or a rise in product returns. We already know that poorly...

Copyright of this story solely belongs to techradar.com. To see the full text click HERE