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AI for the Customer Experience in Banking – Critical Trends and ChallengesAI for the Customer Experience in Banking – Critical Trends and Challenges

Trending AI in Banking Context

AI for Identity Theft Protection in Banking – With Charts and Graphs

AI for Identity Theft Protection in Banking – With Charts and Graphs

Identity fraud was the number one method of fraud that affected businesses globally according to The Communications Fraud Control Association's (CFCA) Fraud Loss Survey.

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The State of RPA in Banking – With Charts and Graphs

Robotic Process Automation (RPA) is a rule-based software solution that automates repetitive tasks without any self-learning capabilities. It is not inherently artificial intelligence. RPA vendors now offer AI-tools as add-ons to their automation platforms. This includes RPA applications in banking where some form of AI, such as computer vision or natural language processing, is a part of the automation workflow.

AI for Cybersecurity in Banking - Where Banks Are Investing Today

AI for Cybersecurity in Banking – Where Banks Are Investing Today

Hackers are cyberattackers are using more sophisticated methods to break into digital networks; they themselves have also started employing artificial intelligence techniques to bypass detection systems.

AI and Financial Risk Management - Critical Insights for Banking Leaders

AI and Financial Risk Management – Critical Insights for Banking Leaders

Our research indicates that AI applications for risk-related banking functions are more numerous than applications for other business areas. Fraud and Cybersecurity, Compliance, Loans and Lending, and Risk Management collectively made up 56% of the AI vendor products in the banking industry, as shown in the graph below:

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AI for Compliance in Banking – Where Banks Should Focus Next

In the banking sector, supervisory organizations create and oversee the compliance rules that banks and other financial organizations need to follow. These compliance regulations are important for companies to carefully abide by, since non-compliance can potentially result in large fines or in extreme cases, even loss of banking licenses. 

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Critical AI Insights for the Banking Industry

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