Abstract: The financial industry includes a number of different sub-sectors, including revenue sources for financial instruments, organizations that broker transactions, payment systems, and fintech companies that offer consumer services. Firms using or developing these technologies compete with financial services companies, and established firms are developing in-house capabilities and making acquisitions. The recent proliferation of financial technologies is in part a consequence of mobile technologies allowing small retailers to accept payments via smartphone, and asset management firms either established their own trading and exchange businesses, or became early investors in other companies' developing liquidity technology.
By making central bank redemption clear, straightforward, and secure, a CBDC would foster trust in its own value as currency, which a commercial bank does not typically have. It would blunt the transfer of deposits from a central bank to a commercial bank, preventing bank “runs” as in the Great Depression. Beneficiaries of bank runs are often suspected of taking their banking elsewhere, curbed by a national currency impossible to avoid. If CBDC accounts contain nontransferable monetary balances, then an injection of CBDC would be of higher quality than redistributing existing confederal public debt to fight a liquidity crisis because it would not remove deposits from banks. Restrictions would also contain the more poisonous possibility of nontransferable CBDC accounts.
The proposed architecture allows banks and payment service providers to offer different types of financial services integrated with various cloud-enabled AI architectures based on their size, originality, use case, and customer needs. As efforts are made to commercialize a much wider range of financial services integrated with different payment mechanisms, this framework of schemes will contribute significantly to models and cloud-enabled big data architectures with AI capabilities for the growing middle and lower income segments of countries worldwide in Africa, South America, East Asia and the subcontinents.
Keywords: Cloud-Based AI Platforms, Personalized Financial Services, AI-Driven Payment Solutions, Financial Technology (FinTech), Cloud-Native Infrastructure, Real-Time Customer Insights, AI Personalization Engines, Hybrid Cloud Architecture, Machine Learning in Finance, Cloud Scalability in Banking, Secure AI Transactions, Intelligent Payment Routing, API-Driven Financial Services, Cloud Computing in FinTech, AI-as-a-Service (AIaaS).
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