I’ve been thinking about something lately when it comes to AI and analytics.
Everyone talks about speed — how fast we can generate insights, dashboards, and predictions. But almost nobody talks about what happens when the AI is wrong.
The tricky part is, it doesn’t always fail loudly.
Sometimes the numbers look reasonable.
The charts make sense.
The recommendations sound logical.
So we trust it — and move forward.
But I think the next big shift won’t be in using AI… it’ll be in 'validating it'.
Quiet systems working in the background.
Double-checking results against trusted data.
Catching subtle mismatches the AI won’t flag on its own.
Not to distrust AI.
Not to slow progress.
But to make sure we 'know what we know'.
In this next phase, speed won’t be the differentiator anymore.
Confidence will.
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