AI and Data are Business Strategy Experiments Now. How Far Are You Willing to Push the Curve?

In data products, people often use ‘data risk’ and ‘data experimentation’ as if they mean the same thing. They are different, though, and mixing them up is a big reason why many organisations struggle to achieve real results with AI or analytics.The difference may seem small, but it separates teams that just keep data flowing from those that create lasting value with their data products.Data RiskData risk means your assumptions, models, or understanding of the business could be off in ways you might not notice. This can lead to wrong decisions, mismatched metrics, or loss of trust.