Why Does a Bank Need a Chief Scientist? - IEEE Spectrum

You bought an AI tool. Your team never opened it. Now it auto-renews every month like a gym membership you're ashamed of. You're not alone — and you're not tech-stupid. The tools were built for engin

You bought an AI tool. Your team never opened it. Now it auto-renews every month like a gym membership you're ashamed of.

You're not alone — and you're not tech-stupid. The tools were built for engineers, not operators.

Here's what Capital One figured out that most AI vendors won't tell you: the problem was never access to AI tools. It was knowing which specific business problem the tool was actually solving before buying it.

They hired scientists to answer one question first — "what problem are we solving?" — before touching a single tool. That sequencing is everything.

Most businesses do it backwards. They buy the tool, then hunt for a use case. That's why the software sits unused. Flip the order and your odds of a real win go up dramatically.

Start here: write down the one task your team does repeatedly that eats hours and produces errors. Just one. That's your AI target. Not your whole operation — one task.

That single answer is worth more than any consultant's slide deck. It tells you exactly what to look for, and what to ignore.

What's the one repetitive task in your business you'd eliminate tomorrow if you could?

#AIForBusiness #SmallBusinessGrowth #AIStrategy #BusinessOperations

Original Source

... enterprise AI. Advances in AI research and deployment are shifting from ... AI solutions that don't yet exist. While widely available ...