Banks Struggle to Manage Technical Debt When Dealing with AI, Data Science
Data scientists, IT teams, and the business professionals should work together when deploying emerging technologies and data science models. Otherwise, they may be setting themselves up to fail.
![debt](/sites/default/files/styles/landscape_750_463/public/2020-09/GettyImages-1056380414.jpg.webp?itok=OwAQ6gi8)
Many technologists tend to think that technical debt accrues when a shortcut was taken and a cheaper but inferior platform was chosen or built to solve a problem. It’s where robotic process automation (RPA) has received a bum rap, as bots are created to tackle repetitive tasks, but there’s limited thought given to redundancies and to the coding. As a result, a constant string of fixes and recoding is necessary, and after a while, the cost of upkeep is higher than the cost of a better, longer
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