The most essential question of the moment: how can AI help address and course-correct banks’ productivity and financial performance?
Following the astonishing rise of generative AI, artificial intelligence has seized the world’s attention. Executives are either dazzled by bright futures or dismayed by dystopian scenarios, and polarizing boardroom discussions proliferate.
Banking executives are brainstorming how to assess and prioritize AI’s economic potential, estimate access costs, and manage the risks that come with quickly scaling AI enterprise-wide. This issue requires meticulous assessment.
These insights can help avoid unnecessary hype and assess the real impact of generative AI on bank business models—and define an action plan that mitigates the associated risks. These considerations are grounded by IBM expertise in providing value-added consulting and breakthrough technology, corroborated by a global survey with 600 executives of primary financial institutions worldwide.
Together, they’ve shaped the insights revealed in the 2024 Global Outlook for Banking and Financial Markets.
The 10 guiding actions
Banks are facing shorter-than-ever technology cycles. To manage, they need an expedited, structured process to not only move forward, but to move forward quickly.
Use the tabs below to see the 10 actions that can guide financial institutions’ decisions about building generative AI foundations.
- Evaluate key use cases in banking for potential value, project complexity, and new risks.
- Move your clients from AI+ strategy to execution enterprise-wide, with 10 key actions.
- Help clients to compete with a healthier mix of workforce and technology.
Originally published 30 January 2024
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Originally published 30 January 2024
