With Brexit just around the corner, the European banking sector is under significant pressure to forecast and mitigate potential economic shocks. Given the levels of uncertainty over possible outcomes whilst the details of any potential deal (or no-deal) still to be confirmed, how forewarned can banks actually be without testing hundreds of possible permutations?
Despite the record-breaking highs achieved by US stock markets, 2018 is ending with virtually all those gains wiped out. And it’s not just the United States that has suffered. Germany’s DAX, the United Kingdom’s FTSE 100 and Japan’s Nikkei 225 are all ending the year firmly in the red.
The rapid adoption of artificial intelligence and machine learning in all corners of the financial sector, particularly in anti-money-laundering (AML) efforts, has excited and inspired onlookers and participants alike. But as with all innovations, there are pitfalls to unquestioning acceptance that can actually worsen the situations these technologies are meant to address. Human intelligence must work cooperatively and in the lead role alongside AI and ML to guarantee the best results.
If it feels as if artificial intelligence is taking over, there’s a reason for it. It is. The democratization of AI has begun, and the technology is set to change the world as we once knew it. Banks won’t be left out of the transformation. While bank senior executives cheer the cost-saving and efficiency-boosting potential of AI, bank employees may fear for their jobs. But that’s where reskilling steps in
In the decade following the global financial crisis, banks have faced a flood of new laws and regulations. The pace of change has been furious. Banks have been forced to hire more and more bodies to manage large, enterprise-wide efforts in an attempt to simply stay ahead of regulatory enforcement actions and the ensuing fines and penalties.
Mr. Romesh Sobti, CEO of IndusInd Bank joins International Banker to discuss Indian banking reform, the wider challenges facing banks in India and IndusInd’s goal of doubling profit in the next three years.
Automation saves time, cuts cost and carries out routine tasks with unmatched efficiency, so who wouldn’t welcome it? Possibly the people whose income currently depends on carrying out those tasks. Digitalization is guaranteed to strip out much routine work in banking, but it will not necessary mean fewer bank jobs. Roles will be reinvented so that technology frees human staff to provide customers with excellent advice and service.
Weighing the possibility of adopting AI and automated decision-making is no longer a choice for banks; this technology has proved its worth in everything from combating fraud to meeting compliance requirements to providing excellent customer service via chatbots. As banks struggle to be profitable in the post-financial crisis era, AI has been an invaluable friend to those that have learned how to make it work for them.
Lately, there seems to be a frenzy well fed by consulting firms in the enterprise world about digitisation and the necessity to “digitise” companies’ business models and operations.
As the landscape of financial services continues to change, it’s critical to stay ahead of the game. ATMs were groundbreaking achievements once upon a time, while more recently, mobile baking was the logical next step in banking’s maturation.