Artificial Intelligence (and Machine Learning)
Driven by advancements in technology and evolving customer expectations, Robo-advisors in the banking sector are one of the most notable disruptions. They are intelligent digital platforms that offer automated investment advice and portfolio management services. As these digital advisors gain traction, they are reshaping the way individuals and institutions engage with financial planning and investment strategies.
Robo-advisors are digital platforms that leverage algorithms to provide automated investment advice and manage portfolios based on an investor’s profile data, such as age, risk tolerance, and investment objectives. Such services have played a significant role in democratizing the financial industry, facilitating greater accessibility to trading for younger generations through the introduction of low-cost fee structures. Robo-advisors have not only gained substantial popularity but are also experiencing rapid growth, with projected market estimates for 2025 reaching an impressive $9,255 billion.
While automation brings efficiency and convenience, it raises questions about the role of human advisors and the need for personalized guidance.Â
In a non-open banking scenario, managing finances through a money manager app requires users to manually interact with each of their banks, which can be time-consuming. However, with an open banking app, the process is simplified. Users grant permission to the app to access their banking data through open banking APIs, allowing the app to consolidate information from all their accounts into a single, easily accessible interface. This enables users to effortlessly view transaction history, account balances, and spending with just a few clicks and in one single app.