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The Promise of AI in Financial Services in 2023

Source: Finance Derivatives

By Kevin Levitt, Global Industry Business Development, Financial Services, NVIDIA

As we enter the new year, many are left in a continued state of uncertainty from the unprecedented financial challenges 2022 posed. With high inflation and rising interest rates, financial institutions are more inclined than ever to turn to innovation to address top opportunities: leveraging AI to deliver more value, create relevant customer experiences and drive operational efficiency.

Artificial intelligence (AI) has long been a hot topic of interest in the financial sector, but now as firms are beginning to see its concrete value, it is moving from experiments in the research labs to production deployments across lines of business. AI’s value to financial enterprises will accelerate in 2023, solidifying its well-deserved spot in the technology toolbox of financial institutions.

Real-Time Risk Management

This year’s sudden collapse of cryptocurrency exchange FTX serves as a great example of the speed at which unknown risks can manifest for businesses. Financial firms will advance AI for risk management in 2023 as the importance of real-time risk calculations is more evident than ever. We live in a volatile financial climate where more accurate and immediate asset and risk values are needed to make gametime decisions. Increasingly, firms will turn to accelerated computing to speed price discovery, risk calculations and back testing.

The simulation techniques used to value risk in derivatives trading are computationally intensive and typically consume large swaths of data center space, power and cooling. In 2023, what used to run all night on traditional compute will run over a lunch break or faster on accelerated compute. A real-time value of sensitivities will enable firms to better manage risk and improve the value they deliver to their investors. Firms need to adopt AI and accelerated compute or run the risk of being left behind.

This technology won’t just be used for the capital markets sides of global banks. It will also apply to hedge funds, who will use accelerated compute to train algorithms to discover signals and produce more accurate predictions. They will deploy increasingly larger and complex models in production to capture the market opportunity and improve investor returns.

Cloud-First for Financial Services

In 2023, banks will have a new imperative: get agile fast. Facing increasing competition from non-traditional financial institutions, changing customer expectations rising from their experiences in other industries, and saddled with legacy infrastructure and economic headwinds, banks and other financial institutions will embrace a cloud-first AI approach.

But in the highly regulated financial services industry, some data can’t move to the cloud due to compliance requirements, data sovereignty laws or other international regulations. Banks are also finding some workloads to be cost prohibitive in the cloud, including training Large Language Models (LLMs) that form the foundation of many of a bank’s most important AI applications, from virtual assistants and chatbots to sentiment analysis of earnings calls and monitoring for trading floor compliance.

The industry requires operational resiliency, a term that means your systems can absorb and survive shocks (like a pandemic). To this end, in 2023 banks will look for open, portable, hardened, hybrid solutions – including AI software that operates across on-prem and cloud environments to offer a single pane of glass through which they may manage data science experiments and infrastructure utilization. As more AI applications are deployed into production, banks will be obligated to purchase support agreements for their AI software rather than rely on community-supported, open-source solutions.

Banking on Generative AI

This year, the world witnessed the sensation of ChatGPT from OpenAI, which showcases the power of LLMs and generative AI for a variety of use cases from story writing to writing software code. In 2023, banks will ride this wave to enable a range of applications with LLMs. Generative AI can be used to write emails personalized to an individual customer’s profile or lifestage, help software engineers improve their code, and help marketers create better cross-sell messaging.

As stated earlier, banks will not be able to rely on open-source solutions trained on uncurated corpuses of data like the one used in ChatGPT. They will need reliable frameworks for building, training, and fine-tuning GPU-accelerated speech and natural language understanding (NLU) models. LLMs are also transformer-based, requiring massive compute and data sets to train. Without accelerated computing, banks will incur surprisingly high unbudgeted costs and longer times to value.

Putting a Face to Digital Banking

The chatbot has been a mainstay in the customer service experience across the financial services industry for many years. However, many customers express frustrations with this experience as it can feel cold and disconnected. The problem is that chatbots aren’t empathetic. In 2023, banks will invest further in digital avatars to improve customer experience.

Digital avatars go beyond chatbots and rules to bring eye contact, gestures, and audio to face to customer service interactions. They also leverage LLMs, so the number of questions and tasks they can manage is not limited to pre-written scripts, but still bound by the guardrails dictated by the data scientists use for fine-tuning the models. Digital avatars will change how virtual assistants look and feel, ultimately building trust with bank customers.

New technologies like this promise to make 2023 an exciting year of innovation across the industry. But all of these improvements are built on a foundation of data science, which requires data scientists.

The new State of AI in Financial Services survey report to be released in January shows the number-one challenge financial institutions are facing is hiring and retaining data scientists. To attract these top talents, banks will need to provide them with the accelerated compute necessary to perform their best work and deliver on the promise of these innovations in 2023.

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Business

2024: THE year for customer experience enhancement

Source: Finance Derivative

Rob Paisley, Director, Banking and Financial Services, SS&C Blue Prism 

How recently have you relayed to someone the immaculate service that your tax office, bank or insurance company provided you with? From renewing a bankcard, buying a house or undergoing an investment fund transfer, financial organisations are not noted for their NPS scores.

Nowadays, banking customers find the service inconvenient, due to errors, hidden fees, delays and fund-accessibility issues to name a few, not to mention that financial organisations must compete in a world where online shopping is only a few clicks away. In fact, in terms of satisfaction, customers rank their streaming and parcel delivery service higher. Highlighting the general dissatisfaction is the TrueDigital Quotient, standing at a meagre 25%, emphasising the consensus amongst customers regarding transactions processed wholly through digital channels.

And, while large financial organisations and banks are addressing enlarging customer satisfaction, decreasing operational costs and steering revenue growth by using artificial (AI) solutions at a future time, wouldn’t a more reasonable solution be to manage digital processes through investment in existing intelligent automation (IA)?

Neobanks and digital banks leverage intelligent automation for faster customer journeys. This includes ‘know your customer’ checks, digital onboarding, and seamless processes, catering to both digital and traditional customers effectively – meaning customers can get what they want quickly and without pain. For younger customers, this means digital banking, while traditional customers are provided with better service at a physical location that includes digital offerings.

In banking and finance, most companies think of RPA-IA as an efficiency tool, but significant opportunities often unexpectedly arise when they start to deploy it. Often, it’s the customer experience that benefits most as it’s not just about efficiency. Automation software can help re-imagine your offerings with the customer at the center of it. Amidst the AI rush, revisiting foundational basics before proceeding may be prudent, as IA establishes essential groundwork often overlooked.

Repeated shortcomings for the banking customer

From routine tasks like mortgage applications to specialised services, such as closing accounts, infrequent or one-time customer experiences, significantly shape long-term loyalty and recommendations.

Let me paint you a picture with a tangible example of why people might take their business elsewhere, to illustrate how today’s predominantly young customers are not brand-loyal, and seek the easiest route to fulfil their needs swiftly.

If you join a cloud-based digital bank that has no branches, all transactions will likely be delivered by a 24/7 customer support hotline. Certain banks like this also don’t do checking accounts, only high yield savings CDs and loans which many people are attracted to given preferrable interest rate offers. This all sounds great, but you still run into the infancy of some of these technologies.

To do a mobile cheque deposit, we’ve had clients say it might take 14 days to clear. That’s not good enough. Even two days isn’t good enough given the technology available for these processes. It may also require the customer to write a restrictive endorsement on the back of the check saying it can only be deposited at the specific bank. Once the endorsement is written, it can’t be taken anywhere else other than that bank. If they reject it, they don’t have branches, so customers can’t walk in and talk to a human being and talk to someone.

Anything that improves time to resolution in a self-service fashion on a digital channel helps, but in reality, it’s a dichotomy. How can you have a cashless society until you solve basic issues like that one? It’s a pain to transfer out and you don’t really want to, but lethargy is inherently baked into the system so anything that can speed up the process is going to improve the customer experience.

Dissatisfaction often goes unvoiced, with customers silently departing without notice. Many companies remain unaware until weeks later, indicating a blind spot in recognising and addressing evolving customer behaviour.

With so much money at stake why are organisations struggling to get it right? This year, customer experience takes center stage, with forward-thinking companies investing in process intelligence, business orchestration and automation. Those lagging lack measurement tools and awareness of their shortcomings. Banks excelling in this realm employ more than 500 digital workers and meticulously measure outcomes, while others trail behind with fewer than 10 or none at all.

Cash no longer reigns supreme

Northern Europe boasts the largest global digital banking market, with Sweden dominating with a 98% cashless economy. Nordea, a leading bank in the region, spearheads this transformation by prioritising customer-centricity around the concept of ‘the idea of something better’ through cutting-edge mobile and digital banking solutions. Despite its 200-year legacy, Nordea embraced online banking early on, and in 2015, it adopted banking automation software to revolutionise its operations. Some six million transactions are processed by its digital workforce, including simple tasks such as new card requests, reducing errors and costs, allowing Nordea to tailor its services based on customer preferences.

“It’s one of the key aspects where we want to be the leading bank. We have invested a lot into our mobile bank, which is regarded as the best in the Nordic markets,” says Ossi Leikola, Head of Operations at Nordea. “We also believe very much in a personal relationship with our customers – that’s why we’re very interested in omni-channel.”

Through Nordea’s employment of almost 400 workers and 450 automated solutions for its 10 million customers around the globe, customer satisfaction levels have transformed. Subsequently, by using SS&C Blue Prism intelligent automation, the bank is positioned as a regional leader.

Where customer experience is concerned, efficiency is crucial to retaining loyalty. Companies providing customers with prompt, precise interactions excel in the industry. Intelligent automation solutions streamline transactions, enhancing customer satisfaction, and therefore loyalty. In the current informed market, banks should prioritise use of tools on enhancement, or risk reputational damage to the organisation.

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Business

Money laundering red flags: How to identify and combat financial crime

By Andrew Doyle, CEO, NorthRow

Money laundering, the process of disguising the proceeds of illegal activities as legitimate funds, is a grave financial crime that undermines the integrity of financial systems worldwide. 

When you consider that the National Crime Agency estimates that £10 billion of illegal money is laundered each year in the UK, financial institutions and regulatory authorities have a responsibility to be more adept at recognising the red flags indicative of these illicit activities. Understanding these warning signs is crucial in the ongoing battle to maintain financial integrity and protect the economy from the corrosive effects of money laundering. 

So, what exactly are the warning signs?

Unusual transactions

Financial activities that deviate significantly from a customer’s known income or business patterns is a clear warning sign. This can include large deposits, withdrawals, or transfers that seem inconsistent with their profile. 

Financial institutions need to scrutinise transactions in the context of their knowledge of the customer’s usual financial behaviour, risk profile and the nature of the business relationship. Any significant deviation should prompt a closer look to determine if the activity is legitimate or if it signals something more sinister.

Unexplained source of funds

Large sums of money appearing in a customer’s account from private or unfamiliar sources should raise immediate concerns. It is vital to look at how they acquired these funds and request supporting documentation such as bank statements, recently filed business accounts, or official documents like property or share sale records to verify any such transactions. 

When cash transactions are involved, the difficulty of tracing the origin of funds increases, making thorough due diligence even more critical. In such cases, the institution must ask whether the source of funds aligns with their knowledge of the customer and if there are any indications of criminal involvement.

Rapid movement of funds

When funds are swiftly transferred without a clear and justifiable business purpose, it can suggest an effort to conceal the true origin of the money. Sudden and unexplained changes in a customer’s transaction patterns, such as an abrupt increase in activity or a shift in transaction types, should also raise suspicion. These deviations may indicate attempts to disguise the nature of financial activities.

PEPs

Transactions involving Politically Exposed Persons (PEPs) are particularly high-risk due to the potential for corruption. PEPs include individuals holding prominent political positions and their close associates, who may be more susceptible to engaging in corrupt activities. These individuals often have access to substantial funds, making it easier for them to participate in money laundering schemes. Financial institutions must exercise enhanced due diligence when dealing with PEPs to mitigate the risk of being used to launder illicit gains.

Inconsistent documentation

Inconsistent documentation is another critical indicator of potential money laundering. This can include altered or forged documents, incompatible details between different records, or paperwork that does not align with the nature of the transaction. These inconsistencies suggest a lack of transparency and honesty in financial dealings, potentially indicating an effort to hide illicit origins or intentions. Financial institutions should be wary of any documentation that appears tampered with, or that provides conflicting information about a transaction.

Refusal to cooperate 

When customers are uncooperative or evasive in response to requests for additional information or documentation, it should raise immediate concerns. Avoiding straightforward questions about the purpose or source of funds, failing to provide necessary documents, or showing reluctance to clarify details can indicate a deliberate attempt to conceal illicit activities. Financial institutions must be prepared to report suspicious activities to the appropriate authorities for further investigation.

The presence of one or more of these red flags does not necessarily confirm money laundering but definitely warrants closer inspection. Financial institutions in the UK are legally required to implement robust procedures to detect and prevent money laundering. These measures include conducting thorough customer due diligence, continuously monitoring clients for any adverse changes to their risk profile, and reporting suspicious activities to relevant authorities.

Recognising and responding to money laundering red flags is essential for maintaining the integrity of the UK’s financial system. Financial institutions must remain vigilant, ensuring they have the procedures and expertise necessary to detect and address suspicious activities. By doing so, they can play a crucial role in combating financial crime and safeguarding the economy from the detrimental impacts of money laundering.

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The Human Advantage: Turning human-centred leadership into commercial success

By Helen Wada

We are living in a world where AI is becoming more prevalent, the economic environment is as challenging as it has ever been, yet organisations are at the same time being asked to become more “human-centric” and focus on their people.

A shift from performance to people

The 1980s and 1990s were characterised by a relentless performance culture, where metrics and outcomes were paramount. Autocratic leadership of the past gave way to a more collaborative approach as we entered the 21st century and we saw technology begin to disrupt the way in which we worked. Deliver more with less, work in a different way, grow the top line and reduce costs and technology was driving efficiency and growth.

Helen Wada

Today, as we look forward to 2025 and beyond, technology is once again shifting the dial, but there is also a real shift towards people, we are moving into a new era. The Human era.  Helen Wada, a top UK top executive business coach, who has spent more than 25 years in the corporate world working across professional services and with global organisations, is witnessing firsthand the need to prioritise the essentials of being human. 

The pandemic brought this sharply into focus as we think back to how so many within all kinds of professional settings kept the wheels in motion at a time of fear and uncertainty. Medical workers, civil servants and retail workers all continued while others were told to stay at home. Since then, there has been a significant shift in focus on prioritising humanness unlike ever before, yet the commercial imperative remains – and in some instances the commercial pressures are felt even more than before the pandemic.   

Combining the need to drive growth  while building a human centric culture

One of the main challenges businesses face is finding the middle ground between human-centred initiatives and commercial goals.

In March of this year, Forrester explored what human and technical skills will matter most to B2B Marketers…”Technical and AI analytical skills will no doubt have a crucial role to play, but those in B2B customer facing roles must develop soft skills such as self-efficacy, cognitive abilities, empathy and excellent communication. These human skills are vital for building strong relationships with clients, collaborating with team members and adapting to changing market dynamics.” In addition…we need leadership skills and business acumen….The reality is we need to think about developing that whole person.”

A Gartner survey conducted in 2022 found that 90% of HR leaders believe that to succeed in today’s working environment, leaders must focus on the human aspects of leadership. However, only 29% of employees report that their leader is a human leader.

According to Helen’s philosophy, these “human skills” that sales leaders require align completely to those that she developed through her executive coach training back in 2015.  Helen had always shied away from sales, preferring to focus on her technical expertise and delivery.  Yet, after training as an executive coach, she found a new confidence in having open-ended conversations with customers, building relationships and creating insight and value through the quality of her conversation and challenge.

This got her thinking, was there a way that coaching could prove to be the bridge between human-centric leadership and commercial focus

The Harvard Business Review, along with many other reports has highlighted the role of quasi-coaches; leaders who blend coaching with their managerial roles as pivotal to successful leadership.  But can this be taken one step further.

The sales leaders of tomorrow, not only require their technical expertise, their ability to collaborate and work with AI, they require these human skills, to connect with customers, be curious and create value.

Human-centred leadership in practice

Human-centred leadership requires an approach that looks at everyone as individuals. It is important to understand a person’s aspirations, values, and what drives them. This can be difficult where development programmes are delivered at scale with a one-size-fits-all approach.  Common coaching skills can be developed, yet the outcome of a coaching conversation is always personal and unique.

By themselves adopting a coaching mindset, leaders can demystify complex issues and foster a culture that supports both personal and professional growth. Helen’s thesis asserts that human-centred and commercial cultures do not have to be separate. Instead, they can “coexist harmoniously through coaching. By developing leaders as coaches, organisations can scale human-centric practices, as well as provide the skills required to foster commercial relationships, where connection, curiosity, challenge and collaboration are at the heart of working together.”

Scaling human-centric practices

At the heart of a coaching culture is the creation of personal responsibility and accountability.  Coaching, by its very nature encourages others to grow and thrive, creating a culture of trust and responsibility for everyone to play their role in their own personal growth and development.

By starting at the top, Helen highlights that coaching provides a framework that equips leaders with the skills to understand and support their teams effectively, as well as having better conversations with their clients, whether external or internal to the business.

This is particularly relevant in professional service or partnership environments, such as accounting, law, or engineering, where technical expertise is valued for promotion to a certain point, but to reach the next level of leadership requires an ability to build a different type of relationship with customers – often exploring areas outside of their comfort zone.

Coaching and coaching skills also support individuals deal with uncertainty, as Helen explored with a fellow coach, Paul Golding in her podcast Human Wise.

The HUMAN Framework

Helen has created a framework that encapsulates the essence of human-centred leadership, based upon coaching principles

H: How you show up

U: Understand yourself and others

M: Mindset

A: Act & Adapt

N: Next steps

By working with this framework,  leaders and executives can have a practical way to embrace a way of operating that fosters a human-centric culture with a commercial lens. The best outcomes for you, your team and your business.

The benefits of investing in coaching are both qualitative and quantitative. Qualitatively, individuals understand more about themselves, they gain confidence and develop stronger leadership capabilities.

Stretching these skills into commercial conversations translates into quantitative benefits   where companies can see tangible commercial outcomes resulting from an increased confidence in the market, new relationships, new opportunities, and an uptick in revenue and profitability.  All resulting from deeper, connections and human relationships.

Helen’s approach to coaching emphasises that making the human advantage your commercial advantage is not just beneficial, but essential to business success in today’s human-centric world.

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