Final answer:Theregional bankcan combine machine learning technology with the currentautomated solutionto recognize signs of potential check fraud and alert their security teams accordingly.Explanation:To enhance the currentautomated solutionforcheck frauddetection, theregional bankcan combine it withmachine learningtechnology. Machine learning is a branch of artificial intelligence that enables computers to learn and make predictions or decisions without being explicitly programmed. By training the machine learning model with a large dataset of fraudulent and non-fraudulent checks, it can learn to recognize patterns and signs of potential check fraud.The bank can integrate the machine learning model into the existing automated solution. When a check is received and processed, the model can analyze various features of the check, such as handwriting, signature, and check amount, to identify any suspicious activity. If the model detects signs of potential check fraud, it can trigger analertto the bank'ssecurity teams.This combined solution would help the bank in identifying potential check fraud more accurately and efficiently, allowing them to take immediate action to prevent financial losses.Learn more about enhancing theautomated solutionfor check fraud detection here:brainly.com/question/31426926#SPJ14...

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