Infobank Outlook 2025–Artificial Intelligence for Banking Future: Banks Transition to New Operating Models

10
Oct

Today, AI has transformed the digital banking landscape, delivering unparalleled levels of efficiency, personalization, and security. However, as with any sophisticated technology, AI integration presents a number of challenges, particularly in regard to privacy and security. What impact will AI have on digital banking by 2025, and what should we anticipate?

Multipolar Technology and IBM have joined forces with Infobank to explore the potential of artificial intelligence in the banking sector. The resulting project, titled “Infobank Outlook 2025: Artificial Intelligence for Banking’s Future,” is set to be unveiled in the coming weeks. On Thursday, October 10, 2024, Banks will discuss integrated solutions from IBM to build a robust, secure, and customer-focused digital ecosystem.

Artificial intelligence (AI) will play an integral role in the digital transformation of banking in 2025. In addition to its ability to rapidly and accurately analyze large data sets to inform business decisions, AI also presents significant challenges, particularly in the areas of data privacy and cybersecurity. Multipolar Technology offers a comprehensive solution that can play a pivotal role in helping companies establish a robust, secure, and customer-centric digital ecosystem. This solution comprises IBM API Connect, Noname Security, and IBM Watsonx Assistant. The integration of these three solutions can enhance operational efficiency, accelerate innovation, and foster customer trust.

IBM API Connect, Noname Security, and IBM WatsonX are solutions that work in concert to provide robust protection for APIs against evolving cyber threats.
To illustrate, IBM API Connect can be considered a car operating system that oversees all vehicle functions, from the engine to the entertainment system. Noname Security functions as a car security system, safeguarding the vehicle from hackers and theft. IBM WatsonX is a smart navigation system that can learn from driving habits and offer optimal route suggestions, as well as anticipate potential vehicle issues. The integration of these three solutions can result in a robust and secure system.