American Express analytics predict…
Stewart Alsop

“What happened? Did Amex computers get dumber? Amex people feel less adventurous?”

Both are certainly possible. I can understand financial institutions exercising a (possibly over-the-top) amount of caution when trying to identify behavior, based on consumers’ wariness of anything from a bank that feels creepily-too-familiar.

For a counterexample that’s just as underwhelming, the number of false positives generated by Mint is truly staggering, particularly given the data sample size they must have at hand.

“You spent $3,000 on fees last month!” gives you a minor coronary the first time, but by the second and third time, you’ve realized it’s just an algorithm’s inability to accurately assess context given incomplete (but rich) information.

I agree with your initial premise — in both cases, I think this is an example of companies trying to justify their value. This quest is going to create lots of churn in the AI market for a long time to come.

One clap, two clap, three clap, forty?

By clapping more or less, you can signal to us which stories really stand out.