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Robotic Process Automation, and the headache that’ll arrive with it because it’s basically building technical depth directly on top of legacy systems.

In the European public and banking sectors we can’t hire enough people to meet the demands for it though.

If you build something to make maintainability better, please feel free to contact me.

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This one is a bit of a head scratcher and now I'm really curious. Isn't AI with deep learning a big part of this? And then, with AI like neural nets, isn't the whole point that you're building a model to discover hidden associations between data (tensors?) to make predictions, but that it's really hard to figure out how such a system arrives at a prediction? Shouldn't something like this be less than legal for a financial institution due to a lack of accountability? How do you protect against something like handing out subprime loans on questionable grounds?

What are the things that you need to automate but can't find people for it?

How do you handle maintenance now and where could technology fill the gaps?

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