Artificial Intelligence is quickly becoming an integral part of banking technology. That should come as no surprise for an industry where extracting relevant information from a wealth of available data is especially important. But AI does much more than that and is being deployed for a variety of purposes, including analysis and fraud detection, trading, and customer service.
However, AI technology is still arguably in its infancy, with much more innovation expected to come. So the question is: will AI fundamentally change the bank industry as we know it? What transformations can we already anticipate? And who stands to benefit the most: traditional banks, innovative fintech startups, or all of the above?
We asked financial industry experts to share their insights. Read what they had to say below.
As the events of 2020 have shown us, AI has been a game-changer for banks in the areas of operational resilience and customer experience. But as banks continue to evolve into AI-driven enterprises, AI itself, will no longer function as simply a business enablement tool, but more importantly, as the enabler of transformative business strategy. However, the challenge for banks, no matter the use case, is to establish robust frameworks that focus on privacy, security and a commitment to Ethical AI.
There’s no doubt about AI being a game-changer for banking. By nature and by regulations banks have to store large amounts of data for customers and clients, and this data is now acting as fuel for AI programs. Traditional high-street banks will be able to utilize this data in multiple areas from fraud to customer service.
On the flip side, with the lowering of interest rates, banks’ traditional model of borrowing cheap and lending it high is no longer viable, so banks are looking for active ways to achieve cost efficiency and new revenue sources. AI will help on both sides by providing better predictions about customer needs while increasing the speed of automation to reduce costs.
Yes, AI is definitely a game-changer. Predictive analytics and intelligence will continue to help navigate the wealth gap down and continually drive the adoption of self-driving money.
As consumer spending and savings habits become more accurately modeled over time, it is easy to see a future where banking technology is several steps ahead of the public, whether it be in risk/fraud prevention, investments, lending, or day-to-day banking activities.
Artificial Intelligence and Machine Learning is having a profound impact on all industries and companies regardless of size, especially Financial Services and Banking. The ability to understand customers’ experiences, anticipate their future needs, and seamlessly integrate services, support and value propositions will ultimately redefine the use and management of money both for consumers and investors.
AI will continue to have a significant impact on the consumer banking experience through enhanced mobile and virtual banking, with a curated set of consumer products.
For most financial institutions, AI plays an integral part of an automated operation to enhance team synergies across a region or the globe, while assisting with productivity improvements as virtual assistants gain traction – as more companies invest in AI plug-ins and internal product development.
AI plays an important role in banking, and I think we’ll see financial institutions continue to adopt these technologies primarily based on how they address pain points and priorities. Innovative customer experiences are a high priority at the moment with the pressure to adapt to a digital world, but AI shouldn’t replace the human touch that customers want in their banking relationships. AI can however make touchpoints even more meaningful by creating holistic views of customer needs, reducing friction around complex processes, and deepening digital engagement.
Banks are ideally suited to apply AI using their massive databases with information about transactions, and individual and corporate financial behavior. AI will yield useful information on future behaviors. Other applications include fraud prevention and compliance.
While conventional banks tend to stick to legacy core banking systems, their insistence on maintaining this backward, non-agile technology actually poses an enormous opportunity for fintech companies and their small to medium-sized client banks to break free from the yoke of legacy systems.
Banks will now be able to generate growth not only cheaper but with much more effectiveness. No need to add very expensive capital- and labor-intensive branches. Providing a truly digital, customer-centric core system will allow these smaller banks to more effectively compete with their larger competitors who are ham-strung on sluggish and expensive legacy core platforms.
These new efficient banks will now be able to offer more competitive rates for both borrowing and lending to many customers now ready for this digital experience.
When we talk about AI-powered financial assistants, we’re just scratching the surface of AI’s potential in banking. AI can enhance internal capabilities and greatly improve fraud detection. It enables banks to assess complex risk profiles and segments that have always been unavailable or too expensive to chase. But AI’s greatest achievement will be using its unprecedented analytical power to solve the information asymmetry that contributed to the 2007-2008 subprime mortgage crisis, making sure we operate in a more transparent credit market.
AI is and has been a game-changer for banking. For example, some of the largest banks in the world have been using AI-based algorithms in their most profitable trading businesses for years – systematic trading, mean-reversion strategies, etc. – that take advantage of small price discrepancies and large volumes of trades to make lots of money.
With that said, we are now seeing a shift to AI being used to help customers find better loans or higher interest rates for their deposit accounts. This shift from a secret intellectual property to a more widely used technology to help banks be better service providers is an important game-changer for both big banks and smaller challenger banks.
AI can recommend solutions to banks’ clients and give them tailored solutions much faster than humans these days. Now, it's just a waiting game. It will change the way banks operate, serve their clients and make more profit. It will definitely be a game-changer. I am curious to see how fast the change will be.
2020 showed us that AI is a game-changer - for banks and their customers. The business case for adopting AI is becoming clearer as banks improve their ability to ingest new data sources, automate business processes and engage with customers across various channels.
Into 2021, we expect new products and services to be made available, especially for underserved segments such as immigrants or freelancers.
Nevertheless, as AI is adopted by banks, new challenges emerge. In particular, ensuring that a set of principles regarding its ethical use is adopted. This includes identifying and preventing systematic biases that negatively impact the very people their products are made for.