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The following article was first published in ABA Banking Journal on October 17, 2019. In a marketplace where data is shared and distributed at record speeds, third-party or vendor risk management is a challenge for most businesses. This is especially challenging with cloud-based providers where cybersecurity concerns are even greater.
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The use of data analytics and AI-powered algorithms enables banks to assess creditrisk more accurately, resulting in better credit decisions and reduced default rates. Automation of routine tasks expedites loan approvals and disbursements, reducing the turnaround time for borrowers and enhancing overall efficiency.
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Many financial institutions have been using artificial intelligence (AI) for years, particularly in supporting cybersecurity and anti-fraud efforts. See how to implement generative AI with speed and safety in this article by McKinsey & Co. This can include images, videos, audio, text, and other digital content.”
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