Computer Vision in Artificial Intelligence

Computer vision in Artificial intelligence describes solutions that enable computers, software, or devices to analyze and categorize images. It gives machines the power to understand what they see and systematically arrange the data, giving them the capability to react to the information provided. Computer vision AI makes a machine view the world as humans.

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KYC Automation In Banks Using Computer Vision

Digital transformation is redefining the way industries operate. Every industry, including banking, is focusing on a customer-centric approach. In order to meet customer expectations, banks are adopting advanced technologies to provide seamless mobile banking and digital payment services. With the rise of online transactions, there have been growing incidents of phishing attacks and frauds. 

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Fraud Detection in Banks Using AI and Machine Learning

Fraud detection is a challenging problem to solve and on the top to do list of every major bank. They can lead to huge revenue losses, bad customer experiences, loss of reputation and have a negative impact on growth.

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Credit Risk Rating in Banks Using Machine Learning

Credit risk is the possibility of a loss resulting from a borrower's failure to repay a loan taken from bank. Credit risk is one of the major financial risks that banks face across the globe among the top 3 challenges faced by banks across the globe.

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How Banks can Leverage Deep Learning

As the user base and number of transactions per day keeps on increasing in the banking sector, top banking CIOs are constantly on the look out for new technologies that can help in running their banks better and smarter.

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Top 10 Computer Vision Applications - E-commerce, Banking and more.

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