“Two are better than one” is increasingly the case in investing, as humans team up with computers to reach the best investment decisions. Quantamental investing combines quantitative and fundamental strategies to make the most of both approaches, and it is finding increasing adoption, especially among traditional fund managers finding themselves at a disadvantage in the Digital Age. If done right, fusing the traditional with the technological does bring stellar returns.
Inspired by a wave of disruptive digital innovation, the last decade has witnessed perhaps the most rapid evolutionary change ever within the global banking system. Thanks mostly to a combination of greatly heightened expectations from banking customers and the sustained development of the financial-technology (fintech) sector,
The investment-management industry is undergoing arguably its most disruptive period ever. Thanks to a new wave of disruptive technologies, the very concept of investing is being transformed from a practice that was relationship-driven
Utilising several of the new waves of disruptive technologies such as big-data analytics, artificial intelligence (AI) and cloud computing, neobanks across the world are fundamentally transforming the very notion of banking. And given the restrictive impact that the coronavirus pandemic is having on the global population,
While COVID-19 is decimating some industries, it is giving a boost to others, including the employment of artificial intelligence in the banking industry. As customer access to human staff is curtailed with disruptions such as branch closures, well-configured chatbots and virtual assistants are stepping up to the plate. And the banks that are best equipped for AI implementation are enjoying such advantages as cost savings along with improved customer experience.
Artificial intelligence, once the subject of science-fiction novels, is today regarded by financial institutions as a must-have. But the AI uptake can be challenging. How can banks turn this trendy buzz-term into a vital component of their day-to-day operations? The embarkation point is to begin the five steps toward making AI innovation a reality. From data to teams, the necessary resources are there to propel a bank into AI actualization.
It’s not been an easy ride for the Chief Financial Officer (CFO) over the past couple of years – economic uncertainty, increased regulation and an ever-pressing need to cut costs and grow revenue has taken its toll. And with innovation continuing to buffet the workplace, upending business models and increasing customer demand, it’s no surprise that CFO turnover is on the up.
As banking advances further into the Digital Age, some aspects will remain the same while others change. One factor that will not change is the need for banks to manage risk. Technology is both an opportunity and a challenge, aiding risk management to become more efficient but introducing new risks. One thing is certain, banking of the future will still be centred on the goal of providing top-notch customer service, which will be enhanced by data and technology.
Financial services, as we enter 2020, have never been more open to innovation, collaboration and transformation, as established banks are challenged to adapt, like it or not. Worldwide, and especially in countries in which access to financial services was previously limited or nonexistent, financial technology is offering a bold and exciting new world to those financial firms that will employ it. What are the probable trends in the coming months?
Compliance teams are no longer the same as they used to be – they are now considered the third most-stressful City job, after investment bankers and traders. The combination of the financial crisis, Brexit and cybercrime has resulted in a high-stress profession, with constant roadblocks in the way of success.