Financial Services - Banking

The banking landscape is changing and the Covid pandemic has only caused that change to accelerate.  The use of technology in finance has a long history. In fact, because finance involves high-value activities, there has always been an incentive to use the latest technology.  Digital technology made its way into finance as the second major application of electronic computers after the military.  Without advanced IT infrastructures the facilities we today accept as normal and a definite requirement such as Internet banking, instant money transfers and the like would not be possible.

Banking differs widely between countries. In the USA there have always been the large banks covering continental USA but still significant numbers of smaller more localised banks whist in Europe there were few but very large banks.  In Australia the number of banks has doubled in the last twenty years.  The advent of pure on-line bankings with no physical branches has changed to landscape, forcing the pace of change withing larger establised banks in order to remain competetive.  The aftermath of the pandemic has resulted in huge digital transformation and newer business models to be explored by the banks.

Cryptocurrency and making use of the blockchain has also forced rapid change within the  banking industry, providing customers with an alternative to traditional services offered. Decentralized digital currencies, such as Bitcoin, Ethereum, and Litecoin, operate independently of central banks.  On the other side however blockchain, a distributed ledger technology, provides secure and transparent transactions and has the potential to revolutionize the banking industry by making transactions faster, less expensive, and more secure.

Artificial Technology is being rolled out in the financial sector, both in order to personalise the service offered to customers in an attempt to improve customer retention and brand loyalty but also in analysing and responding to trends in the industry by being able to trawl through vast amounts of data both new and historic.   Decisions such as whether to offer a customer a loan or mortgage can now be better decided by an AI system than relying solely on human assesment.

All data and transactions need to be closely monitored to ensure the institution does not break any regulatory requirements and to ensure client data is secured and properly encrypted.   Money laundering and other complex but illegal financial transitions have to be guarded against in real time.  In the past few years many large financial institutions have been proven to have broken regulations outside of their home jurisdictions and these have proven to have had catastrophic consequences beyond just very heavy fines.  The collapse of Credit Suisse in March 2023 demonstrated that if banks fail to mange risk fully, the outcome is huge.   

Where KaiKetsi can help.

Implementing a complete KaiKetsi solution can assist the corporate management team in ensuring that good business practice is followed, that all their client and investor information is correctly protected as well as complying with all relevant regulatory requirements.  Where the institute runs subsidiaries in areas under differing jurisdictions these also can be correctly controlled and all relevant rules and compliance regulations followed.

News:

AI in banking: Can banks meet the challenge? | McKinsey

Global banks & the transformation illusion slowing progress (fintechfutures.com)

Fintech and the Future of Finance (worldbank.org)

Grow Finance joins Pismo as its first Australian client for card issuance (fintechfutures.com)

What Happened at Credit Suisse, and Why Did It Collapse? (investopedia.com)