Business
Five Tech Strategies In An Inflationary Environment
Simon Edwards is Chief Financial Officer for ServiceMax
UK Government turmoil, warnings from the IMF, rising inflation, the war in Ukraine and spiralling energy costs continue to have a big impact on the global economic outlook, compounding an already difficult overhang created by the COVID-19 pandemic. Meanwhile, central banks are scrambling to reverse the impact of over a decade of of fiscal stimulus, while talent shortages and logistics constraints are disrupting supply chains, resulting in multi-year inflation highs.
Gartner’s recent forecast shows CFOs believe technology is at the very heart of competitiveness and viability, with 78% planning to maintain or increase technology spend – even if inflation persists through 2023. Admittedly, it can be tempting to cut tech spend in the face of global retraction. Yet scaling back on digital transformation initiatives in the face of inflation is the wrong approach. Leading digital organisations have a lower cost of doing business and thus a significant competitive advantage in the current inflationary environment. There’s a strong argument that now is the time to invest in technology as it helps businesses to do more with less.
Technology is now so fundamental to enterprises that how CFOs and CIOs manage tech spend and implementation over the next year could significantly impact success or failure.
As the CFO remit expands, we can and should do more than simply keep the lights on in the face of current inflationary trends. I’ve outlined five key technology strategies below from the CFO perspective.
Workforce Empowerment and Enablement
More traditional CFOs may feel a little uneasy about the post-pandemic trend of hybrid working but the reality is that talent models are evolving quickly. Skills gaps in increasingly digital organisations can lead to inefficiencies and poor productivity. Understanding that a workforce, now attracting older, tech-savvy Gen Zers has a different view on how they want to work and how they use technology at work.
Every organisation will need to navigate working flexibility and empowerment, to address shortages but also to drive performance. Collaboration tools, remote access, cyber security and centralised customer and product data capabilities will be crucial to enabling employees regardless of location and role.
As McKinsey said recently in a blog; “successful organizations deliberately create a flexible culture by developing leaders who foster outcome-oriented performance, trust and togetherness, and team engagement and problem solving.” Insisting employees are physically in the office and working strict office hours runs counter to the realities of today’s reality.
Data Creation and Retention
Data is crucial to enterprise costs, value creation and staff retention. Whether it’s structured or unstructured, it is essential for understanding customers, managing supply chains and inventory and providing intelligence on the business and its key markets. Smart use of data models can lead to increased operational efficiencies, personalization of products and services and opportunities to unlock growth.
The challenge for CFOs is to understand where to focus. As futurist Bernard Marr suggests, every organisation needs to evaluate its data use through different lenses. Does your data help your firm improve evidence-based decision-making, understand your customers and markets better, enable smarter products and services, improve internal processes and add additional revenue by monetising data?
It’s also worth noting that for many CFOs, data problems lurk beneath the surface. Accuracy and compatibility Are paramount when it comes to measuring performance across different departments and sources. It’s a common problem and needs addressing before it does material harm to the business.
Scale the Cloud
As the cost of capital rises, increasingly CFOs want to be able to point to a near-term payback for net new investments. Organisations need to look to retire on-premises environments and scale their cloud operations based on demand to reduce capital expenditure burden and also to ensure the most bang for their buck.
The trend towards cloud infrastructure is well documented – research firm Forrester claims over half of European IT decision makers see cloud modernisation as a top priority – and the cost benefits, although occasionally criticised due to rising monthly costs, still outweigh the capital investment required for physical internal infrastructures. In short, scaling cloud investment makes a lot of sense for growing businesses or those looking to enable a more distributed workforce.
Software-as-a-Service is a Must
As McKinsey says in a recent article, “there’s a lot to like about SaaS. For one thing, the asset-light nature of SaaS means it has lower overhead and logistical costs than physical products. Second, it frees traditional companies from doing some of the most complicated technical work by themselves—they can partner with major cloud service providers. And third, since software at its core is a series of 1s and 0s, it’s easy to scale, especially when combined with the cloud’s extensibility and elasticity.”
Of course, it’s even better if that software is actually built for use in the cloud. Cloud-native applications can take full advantage of the scale, resiliency and flexibility the cloud provides. For CFOs looking to maximise impact for minimum outlay, that is surely a must.
Back-office Automation
It makes sense for any organisation, if not doing so already, to explore how automating some functions in the back office can help improve processes, cover skills gaps and increase efficiencies. Using technologies, such as Robotic Process Automation (RPA) and AI-enabled data analytics will provide enterprises with more intelligence for forecasting and planning, more efficient and transparent transactions and more effective use of employee skills and time. It should enable employees to focus on creating more business value.
Gartner’s Finance practice cites automation of back-office workflows as being key to achieving efficiency gains across finance areas, such as accounts payable, accounts receivable and internal IT services, such as helpdesk support. When margins are under pressure in a cash-constrained environment, the urgency to improve productivity in these areas is heightened even more.
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Business
How the BPO sector is tackling the surge in fraud across US banking
Source: Finance Derivative
Hans Zachar, Group Chief Information Officer at Nutun
Fraud in the U.S. banking industry is on the rise, driven by the rapid shift towards digital banking by traditional banks coupled with the emergence of neobanks. This trend is not only increasing costs, but also eroding consumer trust and negatively impacting customer experience (CX). According to the latest annual LexisNexis® True Cost of Fraud™ Study: Financial Services and Lending Report — U.S. and Canada Edition, 63% of financial firms reported a fraud increase of at least 6% over the past year, with digital channels contributing to half of all fraud losses.
The study also highlighted the steep financial toll, revealing that for every dollar lost to fraud, North American financial institutions incur $4.41 in total costs. U.S. investment firms and credit lenders have seen the financial impact of fraud rise by 9% year-over-year. Alarmingly, 79% of respondents noted that fraud has also made it harder to earn consumer trust.
The fraudster’s playbook
With the wealth of personal customer data out there, fraudsters are becoming more adept at breaching security verification checks. For example, with customer data showing up in multiple breaches, fraudsters can collate data across sources to build a more complete picture of a person, placing them in a better position to answer knowledge-based authentication questions, often better than the individual.
Despite the increased awareness, there has been a recent shift in modus operandi where criminals impersonate the fraud department from a customer’s bank, asking them to share their one-time pin (OTP). They know your name, address, and credit card digits, and generate an SMS from the bank to get the OTP. With this information, they can access a customer’s account and engage in account origination and transactional fraud.
The situation is worse than ever, with the TransUnion State of Omnichannel Fraud Report for H2 2024 indicating that the sector experienced $3.2 billion in lender exposure to suspected synthetic identities for U.S. auto loans, credit cards, retail credit cards and personal loans at the end of June 2024, which was the highest level ever recorded.
How technology is reshaping fraud landscapes
Technology is aiding and abetting criminals, with artificial intelligence (AI) increasingly used to circumvent multi-factor authentication (MFA). For instance, fraudsters now create deepfakes across voice and video channels to pass biometric authentication. The 2023 Sumsub Identity Fraud Report, revealed a 10-fold increase in the number of deepfakes detected globally across all industries from 2022 to 2023, with a staggering 1740% deepfake surge in North America. The report identified AI-powered fraud, money-muling networks, fake IDs, account takeovers and forced verification as the top risks.
In this regard, Deloitte’s Center for Financial Services predicts that GenAI could enable fraud losses to reach $40 billion in the United States by 2027, up from $12.3 billion in 2023, representing a compound annual growth rate of 32%.
In response, banking institutions are combining a risk-based and data-driven approach to fraud management, leveraging the capabilities of cutting-edge technologies like AI, machine learning (ML) and biometric and behavior-based authentication methods. However, banks need to balance the cost of implementing more effective and stringent fraud risk mitigation and management without compromising customer service and CX. In this regard, many banks are investing in advanced technologies to monitor transactions in real-time and leverage more sophisticated processes to better understand risks at an individual transaction level on an account by better understanding flow and originating IP addresses.
With these insights, the bank can decide what to do with a transaction, either validating it, sending an automated SMS to confirm the action, or diverting the transaction to a customer call or contact center for authentication.
However, despite the technology that banks have in place, the volumes are causing backlogs in the contact centers, which is affecting CX and creating friction in the customer journey. Banks need the capabilities to interact with customers in more efficient and cost-effective ways to tackle the full volume of potentially fraudulent transactions. For these reasons, many banks and lenders are turning to the global Business Processing Outsourcing (BPO) sector to tap into readily available CX and security skills, expertise and technological capabilities.
The importance of BPO banking for financial institutions in the digital era
Banks need a BPO provider that not only has a comprehensive understanding of the financial sector, but also effectively manages costs by utilising the most efficient and budget-friendly methods to engage with customers, focusing on text and voice interactions. After a fraudulent transaction has occurred, banks require a robust system for managing disputes and supporting backend investigations. Banks must track transactions across different regions and time zones since there is no interbank switch available for fraud detection, often relying on human resources to compile transaction details and provide feedback to distressed customers.
To provide compassionate and empathetic support after a fraud case, it is essential to have well-trained agents equipped with real-time information who can guide affected customers through the entire process. A poor experience or a lack of care can significantly impact customer retention rates. However, establishing these capabilities and developing agent expertise within in-house contact centers can be expensive, especially as fraud incidents continue to rise.
Banks that discover a global BPO provider possessing a powerful combination of fraud detection technology, omnichannel engagement features, trained and experienced agents, and fraud investigators will gain significant advantages such as continuous monitoring and industry leading issue resolution. This approach achieves an equal balance between cost-effective and efficient fraud mitigation with high-quality customer service, while adhering to stringent data privacy and regulatory standards.
Business
Using technology to safeguard against fraud this holiday season
Source: Finance Derivative
Tristan Prince, Product Director, Fraud & Financial Crime, Experian
The holiday season brings with it a surge in consumer spending, with UK shoppers expected to part with an impressive £28 billion this year. Unfortunately, this increased activity also draws the attention of cybercriminals looking to exploit vulnerabilities in security systems and personal data.
For financial institutions, the stakes have never been higher. With identity fraud on the rise and new regulations from the Payment Systems Regulator, there is a pressing need to ramp up fraud prevention measures. This season, businesses must leverage innovative technologies to protect their customers and ensure a safe shopping experience.
Fraud is on the rise
In recent years, the prevalence of fraud has reached new levels. Identity fraud alone has seen a 21% increase during the holiday season since 2021, with last year’s figures showing that 83% of all fraud cases were identity-related.
This alarming trend continues in 2024, with a 12.5% increase in identity fraud cases recorded in just the first half of the year. These statistics highlight a troubling reality: fraud is evolving, becoming more sophisticated and harder to detect.
Technology: the key to fighting fraud
Despite these challenges, financial institutions are not powerless. Advanced technology is playing a pivotal role in strengthening defences against fraud. From artificial intelligence (AI) to collaborative data networks, companies now have powerful tools at their disposal to outwit even the most determined criminals.
Artificial intelligence: a game-changer
AI has emerged as a cornerstone in modern fraud prevention strategies. By analyzing massive datasets in real time, AI can quickly identify unusual activity and potential fraud.
Here’s how AI is reshaping fraud detection:
- Real-time monitoring
AI systems continuously monitor transactions, instantly identifying irregular patterns that could indicate fraud. This allows institutions to intervene before any damage is done. - Behavioral insights
By examining customer behaviour, AI can detect deviations from typical spending habits, such as unexpected purchases or login attempts from unusual locations. These insights not only help prevent fraud but also improve the experience for legitimate customers by reducing unnecessary disruptions. - Strengthened identity checks
AI-powered tools verify customer identities by cross-referencing data from various sources, ensuring transactions are carried out by the right individuals while minimizing delays.
Data sharing: strength in unity
In addition to AI, collaborative data sharing between financial institutions is proving to be a powerful weapon against fraud. By pooling insights on fraudulent activities and suspicious trends, companies can create a unified front to tackle threats more effectively.
The benefits of data collaboration:
- Broader visibility: Sharing information helps institutions detect fraud patterns that might otherwise go unnoticed within their own systems.
- Faster action: Real-time data exchange ensures that when one company flags a suspicious transaction, others can respond immediately, preventing further attacks.
Holiday security: a shared responsibility
The fight against fraud is a continuous battle. Although technology has made significant inroads in preventing financial crime, fraudsters are constantly refining their methods. This requires financial institutions to remain agile and invest in the latest innovations.
Encouragingly, advancements in fraud prevention are already yielding results. For example, the financial services sector successfully blocked £710 million worth of unauthorized fraud in the first half of 2024, thanks to cutting-edge solutions like AI and data-sharing networks.
Making the holidays safe for everyone
As the festive season gets underway, businesses must prioritize the safety of their customers. Through strategic use of technology, financial institutions can outpace fraudsters and protect consumers during one of the busiest shopping periods of the year.
By embracing innovation, fostering collaboration, and maintaining vigilance, companies can ensure that shoppers feel secure, and the spirit of the season remains intact. Together, we can make this festive season safer for everyone.
Business
The Evolution of AI in Trading: Building Smarter Partnerships Between Humans and Machines
In these uncertain times where what we are seeing is increasing and perhaps most importantly , unprecedented volatility in the financial markets, it is no surprise that the integration of AI in trading has become a focal point of industry discussion. Today, we’re witnessing a fundamental shift in how traders approach markets against the backdrop of an exponential growth in data complexity.
You get a sense that it’s the same story on trading desks worldwide. One can not deny that the sheer volume and velocity of market-moving information has now surpassed human cognitive capacity. All this means is that we’re at a critical inflection point.
If you look back, it’s clear that ever since the first algorithmic trading systems took seed, we’ve been moving toward this moment. But as with most things in financial technology, the reality is somewhat more nuanced.
The Reality of Real-Time Analysis
Initially, many believed AI would simply replace human traders. But yet perhaps what we need here is some perspective. It is my view that we can expect AI to augment rather than replace human decision-making in trading. Think of it like this – in this scenario, machines will help handle the heavy lifting of data processing and analysis while traders focus on final strategy.
Now, there’s a reason why leading trading houses are investing heavily in AI capabilities and it is simply because successful trading will increasingly rely on human-AI partnerships. At least that’s what our experience with the major trading institutions we work with indicates.
Risk Management in the AI Era
Let’s briefly look at risk management and AI’s capacity for processing vast amounts of market data is nothing short of remarkable. What we’ve found using our own systems in-house is that risk management becomes more proactive when powered by AI. Again and again, we have been seeing how machine learning models can identify potential risks before they materialise, helping a trader to make better trading decisions and spotting new opportunities which may otherwise not have surfaced.
So there it is. The keys to effective risk management lie in combining AI’s processing power with human judgment. And the good news is despite these technological advancements, it can not be overstated just how important human experience remains.
The Evolution of The Human-AI Partnership
In this light, as long as we rely on markets driven by human behaviour, we’ll need human insight. And so, defining what is classed as effective AI integration is becoming vital, as is helping traders to understand both AI’s capabilities and limitations.
From our point of view it has been fascinating to witness the different reactions to embedding AI capabilities in trading – from keen early-adopters willing to take a chance on something new all the way down to dinosaurs prefer to rely on traditional methods and will inevitably be left behind as the race for AI supremacy intensifies.
Increasingly, we’re seeing successful traders embrace AI as a partner rather than a replacement. At the end of the day, markets are complex adaptive systems and those who will win will be those who use AI to enhance human decision-making.
As for the future, one cannot argue against the fact that AI will play an increasingly important role in trading. Even that feels like an understatement. Everywhere you look, trading firms are investing in AI capabilities – some far more quickly and deeply than others – and it’s without a doubt that this trend will continue exponentially.
Author Bio
Wilson Chan is the Founder of Permutable AI, a London-based fintech pioneering AI solutions for financial markets. With roots at Merrill Lynch and Bank of America, he bridges institutional trading expertise with cutting-edge technology. Their latest innovation, the Trading Co-Pilot, delivers real-time event-driven insights for traders, combining geopolitical, macroeconomic, and supply-side data.