AI's efficiency era puts data back at the heart of value creation
For companies, the challenge is no longer picking the best-performing AI model but using it efficiently to deliver concrete, measurable results, according to a JDN column.
For companies, the challenge is no longer picking the best-performing AI model but using it efficiently to deliver concrete, measurable results, according to a JDN column.
A quarter of French real estate companies with ten or more employees already use AI. In agencies, though, the tools are arriving faster than working methods are changing, and the obstacle is not technical.
A JDN column argues that AI is becoming a new operational layer of retail, much as the point of sale became its transactional layer.
A JDN column notes that every AI system can be wrong, and that no comparison chart will tell you which one will fail on the answer that matters.
A JDN column argues that too much attention goes to what AI will change in ten years and too little to what it is already transforming. Companies are adopting it at very different speeds, and the gaps are widening.
Producing content has never been easier, which makes standing out harder. The column argues the difference will come less from tools than from ideas.