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Future AI Applications in the Financial Services Sector
Future AI Applications in the Financial Services Sector
It is estimated that the financial services industry would double its spending on AI by 2027 with the sales of AI systems expected to increase 29 per cent annually.68 The future of AI in the financial services industry can totally redefine the industry in terms of the key stakeholders, their roles and their engagements. Let us examine some of these dimensions next.
AI-Driven Decentralised Finance (DeFi) Systems
The implementation of DeFi, which operates on blockchain technology, could have far-reaching implications for the financial services industry, including removal of intermediaries like banks and brokers, enabling direct peer-to-peer financial transactions. As a result, AI algorithms could facilitate real-time automated portfolio management, smart contracts, and automatic detection of potential frauds and manipulation.69
AI for Predictive Financial Health Monitoring
Financial institutions would be able to offer proactive solutions for customers who are likely to face financial difficulties by alerting them in advance. AI-driven systems would be able to report risk trends by monitoring the customer’s financial status, behaviour and mental status continually and propose suitable options to invest/divest.70
AI-Supported Integrated Financial Views
AI could help create an integrated view of financial scenarios across different industries or ecosystems, thus making the finance management process seamless for customers. This could lead to design of financial products cutting across different sectors, integration of data from multiple sources, namely, retail, health, credit scores and so on and connection of all investments across insurance, banks, stocks and so on to get an integrated view.71
AI-Powered Quantum Computing in Finance
Quantum computing is yet to unleash its full potential and is expected to emerge as an important force multiplier on AI soon. This would lead to higher levels of precision and accuracy in risk modelling, portfolio optimisation and market trends due to which decision-making with respect to investments, trading and interest rates would become far superior.72
AI-Driven Financial Sovereignty and Digital Identity
Consumers would be able to control their digital identities and financial sovereignty with the help of AI in future. Blockchain would enable individuals to protect their personal data, and financial institutions could use AI to authenticate and verify the identities. The scope of digital wallets would expand and go beyond payments and offer verification and asset tracking in a secure and decentralised manner.
练习题
According to the source material, by the financial services industry is expected to do which of the following with respect to AI?
In AI-driven decentralised finance (DeFi), what is a major structural change mentioned in the text?
Which of the following are identified in the passage as AI-enabled functions within DeFi systems?
The text suggests that AI in financial services may redefine key stakeholders, their roles, and their engagements.
AI-based predictive financial health monitoring only examines a customer's transaction history and ignores behaviour or mental status.
AI-supported integrated financial views can combine data from multiple sources such as retail, health, and ___ scores.
How can AI-powered quantum computing improve financial decision-making according to the text?
Which option best describes the future role of digital wallets mentioned in the passage?
The passage says that blockchain can help protect personal data, while AI can be used by financial institutions to authenticate and verify identities.
Explain how a future AI-based financial service could combine predictive financial health monitoring with earlier AI-driven customer service tools such as chatbots or virtual assistants.
A fintech firm wants to build a future investment platform that executes direct peer-to-peer transactions without banks or brokers, while also giving customers real-time portfolio advice based on their goals and risk profiles. Which combination of capabilities best matches this plan?
Which statements correctly connect AI-supported integrated financial views with earlier uses of AI in personalised finance and credit assessment?
AI-powered quantum computing in finance would logically strengthen earlier AI trading and investment-management applications because it could improve precision in risk modelling, portfolio optimisation and market-trend analysis.
In future financial services, AI and blockchain may support consumer control over digital identity, while earlier AI applications in finance already showed that AI can become deeply embedded in cybersecurity, fraud prevention and risk management; together, these developments strengthen secure identity verification and personal data ___.
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