Digitally native customers are driving banks to jump into the future by embracing technological breakthroughs such as artificial intelligence, machine learning and robotic process automation. And in the process, banks are discovering the many advantages of these innovations, from cutting down on costly human errors to improving everything from fraud management, operational efficiency and trading. As they progress through their digital evolutions, many are reinventing themselves for the better.
When A.G. Bell invented the telephone, he had no idea that less than a century and a half later, the phone would be used to talk through—and text, shop, even bank with. Smartphones are small enough to be held in one’s hand and big enough to handle nearly any function. How are banks making fraud-vulnerable processes such as onboarding fast, efficient and secure by verifying the identity of customers?
In spite of the recent rise of protectionism amongst major trade partners, international trade growth is strong, with emerging markets providing the main impetus. Trade growth could be even stronger if not for the shortfall in trade financing supply relative to demand, a gap that is partly due to regulation compliance. Technology is coming to the rescue, not only in addressing the trade finance gap but ameliorating operations throughout trade channels.
Open Banking, which allows third parties to build applications around the activities of established banks, is curtailing the way banks have always functioned. The tried-and-true vertical-integration model, through which a bank maintains a firm grip on all of its operations, is being replaced by a more cooperative approach. How will innovative banks fulfill their roles as suppliers, producers and retailers of financial products and services in the Open Banking era?
Open banking is an emerging global trend and is expected to drive increased choice for how individuals and businesses consume financial services, is driving significant change as the financial services industry adjusts to a digitally-enabled economy, and is working to appropriately manage the risk of a new digital ecosystem.
Combating money laundering is no longer a choice but a must for banks. But the effort that must go into fighting it is daunting. How can technology, especially artificial intelligence and machine learning, battle the costs and drains on monetary and human resources required for AML compliance, making the whole process a lot easier and more effective? Can AI be trusted to do the job right?
It is becoming clear that trade digitisation has huge potential to unlock access to world trade for small-to-medium-sized enterprises (SMEs). The move away from laborious, manual, paper-based processes will lever simpler access to trade finance
It’s not news that many economies of the developing world face barriers to financial inclusion, making it difficult for citizens to both borrow and save; but the good news is that help has arrived in the linking of mobile payments with remittances. From sub-Saharan Africa to Latin America and the Caribbean, mobile money is bringing the previously underbanked into the fold.
With the fourth EU Directive on Money Laundering coming into force in June this year and instances of financial crime becoming increasingly frequent, it is more crucial than ever for teams within Financial Institutions (FIs), as well as across the industry, to collaborate to tackle financial crime and fraud.
Global trade growth depends on trade finance, which is not meeting demand. Regulatory compliance, protectionism, costs and complexities of technology have restricted banks’ willingness to provide trade finance. Measures such as collaboration, innovation, improved attitudes are a must if this fuel for the global trade engine is to be adequately supplied.