The expression “Rubbish In, Rubbish Out” emerged within the earliest days of pc science.
A 1957 article on US military mathematicians working with old-school IBM mainframes used the phrase “Rubbish In, Rubbish Out” to explain how poor high quality information inputs result in poor high quality outputs.
The adage has solely grown extra related in our more and more data-driven world. Our selections primarily based on information are solely nearly as good because the reliability of that information.
Salesforce launched a report final month on a conundrum on the state of data-driven resolution making — information belief is falling whilst information reliance is rising.
Whereas 76% of enterprise leaders say the rise of AI will increase their must be data-driven, solely 36% say they’re assured within the accuracy of their firm’s information. And that information confidence stage has plummeted 27% from 2023.
With ever extra highly effective AI instruments, together with AI Brokers that act autonomously, the standard of the underlying information issues greater than ever.
I like how Greg Kihlstrom phrased the problem:
“In case your advertising information is fragmented, outdated or riddled with inconsistencies, AI received’t repair the issue; it would simply be a sooner strategy to generate assured nonsense.”
Listed below are a number of associated cartoons I’ve drawn over time:
The publish AI-Powered Insights first appeared on Marketoonist | Tom Fishburne.
