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Where is the value in generative AI for financial services?

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AI and machine learning

Michael Conway, Executive Partner, Data, AI and Technology Transformation Service Line Leader at IBM Consulting

 

The New York Times recently suggested generative AI has reached a tipping point. According to the newspaper, it’s having a “Netscape moment” – the instant where a technology triggers wide-spread, irrevocable change. Back in the ‘90s the Netscape browser unleashed the nascent power of the internet. Today, generative AI applications that can instantly produce natural language or even computer code are creating a similarly epoch-defining moment.

While it has been the consumer-focused applications of generative AI that have driven sensational headlines and captured mainstream attention, the underlying capabilities have caused businesses to sit up and pay attention. Recent IBM research found that 64% of CEOs face significant pressure from investors, creditors, and lenders to accelerate adoption of generative AI.

The banking sector has a reputation for being on the front foot with technology, but many institutions remain underprepared or unsure about how to profit from generative AI. In tandem, commentators are now talking about us reaching ‘peak generative AI’, adding to the confusion facing leaders. This risks undermining the potential benefits the technology has to offer.

Success in the long-term depends on experimentation and iteration. Here are three fundamentals that businesses can focus on now that will place them among the early winners in the generative AI era.

Michael Conway

Start with the customer experience

Today, every product is a digital product — and every company is selling a digital experience. The increasing demand for a seamless, personalised experience is driving steep competition, but businesses that can tap into the power of generative AI will leap miles ahead of their peers.

For example, a bank could use generative AI to rapidly analyse their own customer data—as well as data from social sources and partner organisations to determine which customers are most likely to take certain actions, such as opening a new account, investing assets, or applying for a loan. The AI system can then help bankers achieve true one-to-one marketing with a personalised strategy and automated, point-in-time customised offers, translated into the customer’s preferred language.

Financial services businesses can also leverage generative AI to shift digital customer service interactions from the customer needing to ask the right question, to the virtual assistant making the right suggestions intuitively. It could ‘remember’ previous conversations with the customer and know which products and services the customer is using, allowing it to provide smarter, more helpful advice. When combined with more human-like language skills, this deeper level of service will help financial institutions to build better, longer-term relationships with customers.

Supporting and upskilling employees

Looking beyond chat bots, AI can also add more value for customer service professionals. With AI and automation tools taking care of the more repetitive, mundane tasks, teams will have more time to work with customers on more complex needs and situations that call for more of a human touch. The businesses that excel in using AI and automation to augment their workforce are likely to have a sizeable competitive advantage.

To be successful, companies must be prepared to invest appropriately in upskilling colleagues so that they can work with the latest AI tools. Working with partners that can bring the right AI transformation expertise can also help businesses to bridge their skills gaps in the more immediate term. At IBM, we’ve set up the Centre of Excellence for Generative AI within IBM Consulting to help clients move forward quickly with putting this capability to work in their business.

Invest wisely in the right AI platform and expertise

It’s important to underline here that, when it comes to business use cases, we’re not talking about any old generative AI tools. While consumer applications can get away with producing incorrect or even offensive output, financial institutions have no such room for error. Customers of banks need accurate, reliable information, delivered in a professional manner that’s consistent with the bank’s overall brand experience. And that’s before you get into the requirements of financial regulators.

Using an AI platform designed for the needs of enterprises in highly regulated industries is therefore a must in financial services. That means the AI models being used are comprised of data that has been screened for things like bias or harmful content and which can be traced to its source. It means the data and the AI models the institution is using have governance controls baked in, so that the outputs are explainable and transparent.

Financial institutions also need AI models that are tailored for the specific domain areas of their business and that are interoperable across different cloud environments, which is important to regulators like the FCA. As IBM AI is built for businesses, we have built all of these requirements into our watsonx AI and data platform for the enterpise.

Commercial value beyond the hype

Are we in a generative AI hype cycle? Yes. But don’t be fooled. This technology is already starting to transform financial services – and virtually every other industry. Those who can harness it effectively stand to reap immense benefits – from more satisfied customers to lower costs, greater productivity and faster innovation.

Don’t wait for the perfect conditions, they’ll never come. Start now, start small, then scale your generative AI applications across the business. Focus on the use cases where you can gain early commercial value – such as customer experience and automating repetitive tasks – and work with technology designed for the enterprise. In a couple of years, you’ll be very glad you did.

Finance

How technology can help win the war on financial crime

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By Andrew Doyle, CEO of AML compliance software, NorthRow

 

Financial crime is on the rise and the stats are alarming. In the UK alone, 64 percent of businesses (according to data from the Global Economic Crime Survey) have experienced fraud, corruption or other incidents of financial crime within the last 24 months, while ONS stats show there were 3.7 million incidents of fraud in England and Wales in the year ending December 2022.

So it’s no surprise that financial institutions and other regulated firms are under increasing pressure from regulators (and the ever-evolving legislation they must adhere to) in the battle against dirty money. Regulators are imposing crippling fines for any compliance breaches, not to mention the significant reputational damage that comes with non-compliance.

Historically, financial firms have employed large numbers of staff to combat money laundering, but regulators are now expecting to see digital solutions in place to counter the risk of financial fraud, and with good reason. Technology can be the deciding factor in the war on financial crime and here’s why:

Better risk detection

Technology platforms can analyse historical data to predict potential incidents of money laundering, enabling organisations to take preventive measures, while also identifying unusual patterns or changes in customer risk profiles, which may also indicate suspicious activity.

Advanced analytics can help companies identify complex patterns across large datasets, making it easier to detect networks of fraud. It is also possible to assign risk scores to transactions or entities based on their likelihood of being associated with money laundering. This helps in prioritising high-risk cases for investigation.

Andrew Doyle

Enhanced customer due diligence

Automated software platforms can analyse customer information, public records, and other data sources to perform thorough due diligence on clients, identifying potential risks or suspicious behaviour before they are signed up.

RegTech automates the process of verifying customer identities and conducting enhanced due diligence on individuals and on companies, ensuring compliance with Know Your Customer (KYC) and Know Your Business (KYB) regulations, both vital components of anti-money laundering efforts.

More accurate identity verification

Biometric verification is a powerful tool in enhancing anti-money laundering and fraud detection. It involves using unique physical or behavioural characteristics of an individual to verify their identity. Traits like fingerprints, facial features, iris patterns, and voiceprints are unique to each individual and are nearly impossible to replicate or forge. This makes them highly reliable for verifying that clients are who they say they are.

Biometric verification can also reduce the number of false positives in fraud detection by providing a highly accurate means of confirming the identity of a customer. This leads to more reliable results and lessens the need for manual intervention.

Continuous and real-time monitoring

Real-time alerts allow for immediate action when suspicious activity is detected. This can prevent or minimise potential financial losses and damage to a company’s reputation. By identifying and acting upon suspicious activities in real-time, financial institutions can reduce the risk of financial losses associated with incidents of economic crime.

Continuous monitoring with real-time alerts can also help refine the accuracy of anti-money laundering systems over time. This reduces the number of false alerts and decreases the need for manual intervention.

To the future

According to data from Capgemini, 68 percent of UK institutions are already looking into real-time anti money laundering monitoring systems to stay ahead of potential threats while 86 percent, says Refinitiv, agree that innovative digital technologies have helped them identify financial crime.

So the data tells us that companies are already heading in the right direction when it comes to fighting fraud, but as the landscape of financial crime continues to evolve, financial firms must ensure they do the same.

By leveraging the right technology, businesses can ensure they not only meet regulatory requirements and safeguard their operations, but also protect their reputations and crucially, maintain that all important customer trust.

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Finance

In 2024, payments will evolve to broaden accessibility

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Attributed to Roy Aston, COO at Paysafe.

 

As we look to 2024 and beyond, businesses will need to adapt experiences to changing consumer needs and demands, working with payments providers to increase accessibility, offer broader choice, and more.

We break down some the forces driving evolution in payments over the coming years.

Payments need to be available to everyone, everywhere

Regardless of their location or situation, consumers do not want to wait when it comes to payments. The proliferation of smart devices has given users access to everything, all at once, and this is also expected when making transactions.

In 2024, banks and financial institutions will continue to push ahead with this journey to offer smooth, secure payments to everyone, everywhere, delivering services at the lowest possible barrier to entry. This also means ensuring consumers, even those that are unbanked or underbanked, have access to remittances and cross-border payments.

The first step in achieving this goal will be to improve reliability, security and availability, which may see traditional payment methods like debit and credit cards – still the most popular payment methods – become less dominant, while alternative payment methods (APM) like eCash and digital wallets will grow.

This is because, with the right payment provider, merchants can ensure these APMs are available anywhere in the world – eCash, for example, does not require a bank account to use. In addition, digital wallets and online cash can offer swift, secure transactions, helping users overcome security issues by not requiring them to enter their financial details.

Financial companies will embrace collaboration in 2024

While businesses can address consumer payment concerns using APMs, they must also look to bolster their own defences as the threat landscape changes. Increasingly advanced technology, like AI models, are now accessible to far more people, including threat actors.

To combat this escalating threat, it’ll be no surprise to see more financial companies collaborate in 2024 as they seek to improve cyber risk mitigation. This makes perfect sense – and would be a positive step for the industry – though it is easier said than done.

Businesses must share data legally, while aimed toward a positive purpose, rather than for pure profit. For example, if a financial organisation gains intelligence on a cyber group, they could share this with other companies to protect against bad money movement.

Ideally, collaboration could help improve anti-fraud, anti-money laundering, and cyber security measures, and more broadly reduce risk for businesses and consumers alike. But first, thinking around data governance may need to change.

Existing trends will evolve

While exciting new trends will emerge in 2024, we’ll also see the evolution of some that have yet to reach their full potential.

Embedded payments, for example, will continue to develop, with more businesses bringing together financial products with features like loyalty schemes to offer more added value to consumers.

Decentralised finance, too, should continue to build momentum in 2024. While decentralised finance, and specifically NFTs, have faced challenges this past year, it will be no surprise to see companies get to grips with changing regulatory requirements and continue to build in this area.

Open banking could also see a big 2024, with more APIs becoming available, and companies starting to develop new solutions to enhance customer experience and reduce friction in the payment ecosystem.

And while evolution rather than revolution is a necessity in technology, it’s always exciting to look ahead to the big trends that could shape the future – perhaps not in the year ahead, but beyond.

The future is quantum

Quantum computing is a trend that is as exciting as it is potentially frightening. Able to perform computations that are exponentially faster than ever before, quantum computing represents a new frontier and it will be thrilling to see how it is used in the years ahead.

Combined with AI, for example, quantum computing could optimise processes at a speed and scale never seen before – with serious benefits passed onto consumers.

In the nearer term, however, ensuring payments are available and accessible for everyone must remain the focus in 2024.

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