What’s not to like about a process that simultaneously slashes costs and boosts efficiency? Increasingly, senior executives of financial-services firms, with eagle eyes focused on the bottom line, are jumping enthusiastically into the RPA game. Perhaps surprisingly, others in these organizations, such as IT employees, are reluctant. But adopting robotic process automation to best advantage must involve the active participation of the whole company-wide team.
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?
Make no mistake about it: Open banking will transform how the financial industry operates. The movement has yet to realize its potential, but the shift toward rich, data-led customer experiences is just around the corner.
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.
Following on from our recent piece, “Five Industries in Which to Invest in 2019”, we now turn our attention to some of the most promising individual stocks within those industries. Looking forward to 2019, each one of the five sectors certainly appears to have some winners.
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