Will AI Change Banking for Good?
A study of 34 major banks across geographies (US, EU, Singapore, Africa, Australia, and India) found that 27 out of these 34 banks have implemented AI in their front-office functions in the form of virtual assistants, chatbots, and digital advisors. Across these regions, some of the most prominent banks in this space are OCBC, ABN Amro, Bank of America, and YES Bank. Front-office applications have certainly seen a significant increase in intensity, scope, and adoption. In reality, however, the AI strategy in the US banking industry is far more diverse. One of the more explored areas of AI/ML\ application is automation. The estimated global market potential of RPA is projected to be $8.75 billion by 2024.
All major banks in the US are experimenting with AI in one of the four sets of applications: front-office uses; back-office uses; trading & portfolio management in financial markets; and uses of AI and machine learning by financial institutions for regulatory compliance (RegTech) or by public authorities for supervision (SupTech). In Asia, AI could produce an economic value between $1.8–$3 trillion a year by 2030, generated by the introduction of new product services & categories, cost savings arising from better products, lower overall prices, and improvements in lifestyles. While the two largest economies globally dominate global research and development in the artificial intelligence (AI) field, Credit Suisse expects China to come first in the race. RPA is expected to have a $6.7 trillion economic impact globally, a plan that will result in a 40-45% growth of global spending on technology.
In one of Provoke.fm’s podcasts, Brett King, JP Nicols, and Philippe Van Fraechem (GM, North Europe & Worldwide Program Director, EFMA) discuss where the banks are with the adoption of AI, emphasizing the role of customer experience and customer success in bringing the advanced technology into customer-focused areas—both in the banking industry and in the tech/internet world—and what we can hope for them in 2018.
To learn about Prove’s identity solutions and how to accelerate revenue while mitigating fraud, schedule a demo today.
Keep reading
Read the article: Beyond the OTP: Why SMS-Based 2FA Is Failing and What Comes NextExplore the classic conflict between security measures and user friction.
Read the article: Anatomy of an Account Takeover Attack: Analysis and Response PlanLearn practical strategies for handling identity verification API errors or no-match responses. Explore fallback methods and clear communication tactics to ensure a smooth, user-friendly experience.
Read the article: Prove Global Fraud Policy℠: A New, Adaptive Standard for Digital IdentityIntroducing the Global Fraud Policy (GFP), Prove’s new unified, adaptive fraud-defense engine that replaces fragmented, custom rules with a single, comprehensive policy that automatically updates as new threats emerge. This forward-looking framework helps businesses anticipate and respond to evolving threats like GenAI deepfakes, synthetic identities, and eSIM bots, protecting customers at scale.
