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The rise of AI in compliance management

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By Martin Ellingham, director, product management compliance at Aptean, looks at the increasing role of AI in compliance management and just what we can expect for the future

Artificial Intelligence (or AI as it’s now more commonly known) has been around in some shape or form since the 1960s. Although now into its eighth decade, as a technology, it’s still in its relative infancy, with the nirvana of general AI still just the stuff of Hollywood. That’s not to say that AI hasn’t developed over the decades, of course it has, and it now presents itself not as a standalone technology but as a distinct and effective set of tools that, although not a panacea for all business ills, certainly brings with it a whole host of benefits for the business world.

As with all new and emerging technologies, wider understanding takes time to take hold and this is proving especially true of AI where a lack of understanding has led to a cautious, hesitant approach. Nowhere is this more evident that when it comes to compliance, particularly within the financial services sector. Very much playing catch-up with the industry it regulates, up until very recently the UK’s Financial Conduct Authority (FCA) had hunkered down with their policy of demanding maximum transparency from banks in their use of AI and machine learning algorithms, mandating that banks justify the use of all kinds of automated decision making, almost but not quite shutting down the use of AI in any kind of front-line customer interactions.

But, as regulators are learning and understanding more about the potential benefits of AI, seeing first-hand how businesses are implementing AI tools to not only increase business efficiencies but to add a further layer of customer protection to their processes, so they are gradually peeling back the tight regulations to make more room for AI. The FCA’s recent announcement of the Financial Services AI Public Private Forum (AIPPF), in conjunction with the Bank of England, is testament to this increasing acceptance of the use of AI. The AIPFF is set to explore the safe adoption of AI technologies within financial services, and while not pulling back on its demands that AI technology be applied intelligently, it signals a clear move forward in its approach to AI, recognising how financial services already are making good use of certain AI tools to tighten up compliance.

Complexity and bias

So what are the issues that are standing in the way of wider adoption of AI? Well, to start with is the inherently complex nature of AI. If firms are to deploy AI, in any guise, they need to ensure they not only have a solid understanding of the technology itself but of the governance surrounding it. The main problem here is the shortage of programmers worldwide. With the list of businesses wanting to recruit programmers no longer limited to software businesses, now including any type of organisation who recognises the potential competitive advantage to be gained by developing their own AI systems, the shortage is getting more acute. And, even if businesses are able to recruit AI programmers, if it takes an experienced programmer to understand AI, what hope does a compliance expert have?

For the moment, there is still a nervousness among regulators about how they can possibly implement robust regulation when there is still so much to learn about AI, particularly when there is currently no standard way of using AI in compliance. With time this will obviously change, as AI becomes more commonplace and general understanding increases, and instead of the digital natives that are spoken about today, businesses and regulators will be led by AI-natives, well-versed in all things AI and capable of implementing AI solutions and the accompanying regulatory frameworks.

As well as a lack of understanding, there is also the issue of bias. While businesses have checks and balances in place to prevent human bias coming into play for lending decisions for example, they might be mistaken in thinking that implementing AI technologies will eradicate any risk of bias emerging. AI technologies are programmed by humans and are therefore fallible, with unintended bias a well-documented outcome of many AI trials leading certain academics to argue that bias-free machine learning doesn’t exist. This presents a double quandary for regulators. Should they be encouraging the use of a technology where bias is seemingly inherent and if they do pave the way for the wider use of AI, do they understand enough about the technology to pinpoint where any bias has occurred, should the need arise? With questions such as this, it’s not difficult to see why regulators are taking their time to understand how AI fits with compliance.

Complementary AI

So, bearing all this in mind, where are we seeing real benefits from AI with regards to compliance, if not right now but in the near future? AI is very good at dealing with tasks on a large scale and in super-quick time. It’s not that AI is more intelligent than the human brain, it’s just that it can work at much faster speeds and on a much bigger scale, making it the perfect fit for the data-heavy world in which we all live and work. For compliance purposes, this makes it an ideal solution for double-checking work and an accurate detector of systemic faults, one of the major challenges that regulators in the financial sector in particular have faced in recent years.

In this respect, rather than a replacement for humans in the compliance arena, AI is adding another layer of protection for businesses and consumers alike. When it comes to double-checking work, AI can pinpoint patterns or trends in employee activity and customer interactions much quicker than any human, enabling remedial action to be taken to ensure adherence to regulations. Similarly, by analysing the data from case management solutions across multiple users, departments and locations, AI can readily identify systemic issues before they take hold, enabling the business to take the necessary steps to rectify practices to guarantee compliance before they adversely affect customers and before the business itself contravenes regulatory compliance.

Similarly, when it comes to complaint management for example, AI can play a vital role in determining the nature of an initial phone call, directing the call to the right team or department without the need for any human intervention and fast-tracking more urgent cases quickly and effectively. Again, it’s not a case of replacing humans but complementing existing processes and procedures to not only improve outcomes for customers, but to increase compliance, too.

At its most basic level, AI can minimise the time taken to complete tasks and reduce errors, which, in theory, makes it the ideal solution for businesses of all shapes, sizes and sectors. For highly regulated industries, where compliance is mandatory, it’s not so clear cut. While there are clearly benefits to be had from implementing AI solutions, for the moment, they should be regarded as complementary technologies, protecting both consumers and businesses by adding an extra guarantee of compliant processes. While knowledge and understanding of the intricacies of AI are still growing, it would be a mistake to implement AI technologies across the board, particularly when a well-considered human response to the nuances of customer behaviours and reactions play such an important role in staying compliant. That’s not to say that we should be frightened of AI, and nor should the regulators. As the technology develops, so will our wider understanding. It’s up to businesses and regulators alike to do better, being totally transparent about the uses of AI and putting in place a robust, reliable framework to monitor the ongoing behaviour of their AI systems.

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How financial services organisations are using data to underpin future growth

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By John O’Keeffe, Director of Looker EMEA at Google Cloud

In addition to the turmoil caused by the COVID-19 pandemic, a significant decline in venture capital investment has left many financial services organisations feeling deflated, with others struggling to survive. According to figures from trade body Innovate Finance, investment in UK fintech organisations fell 30% in Q2 of this year, with smaller challenger firms and start-ups being the most profoundly hit by our current economic problems.

As a result, both challenger banks and more established players have had to pivot their strategies in order to maintain relevance and market share. Nonetheless, the outlook for fintech in the UK and further afield looks promising for the future. The reality of spending much of our time at home, and out of reach of brick and mortar services, means that many of us are becoming even more accustomed to digital banking for example. Recent analysis of finance application usage from Adjust, found that the average sessions in investment apps surged 88% globally, while payment and banking app sessions increased by 49% and 26%, respectively, during the COVID-19 pandemic.

However, the fact remains that investment in the sector is currently hard to come by. To help regain momentum, a review into the UK’s fintech industry was launched to identify opportunities to support growth across the industry. Data has – and will continue to – play a key role in this push for innovation, helping organisations spot gaps in the market, predict customer behaviours and ensure that the decisions they make are based on real insights. At such a critical time, enabling a data-led approach will help organisations ascertain exactly what is required to accelerate change and ensure the sustainability of the industry.

The financial services industry is a data-rich environment, giving organisations a potential goldmine of customer interactions, product performance and market trends. However, the difficulty often lies in bringing this into a coherent whole, and extracting the business insights required for long-term success. This is as much about strategy and accessibility as it is about technology. Fostering a true “data culture” where employees across the business, whether data experts or not, can access real-time intelligence that informs their day-to-day decision making in a positive way, is crucial. This may mean tweaking your onboarding and training programmes, identifying data evangelists that can catalyse others, or simply making data engaging and relatable for those who are new to the practice.

For many organisations, data is often stored within traditional business intelligence tools, third-party SQL clients or even just a simple spreadsheet, meaning that valuable data insights are siloed and often hindered by a bottleneck between a stretched analytics team and the rest of the business. There is also the all-important General Data Protection Regulation (GDPR) to consider, so data governance and having a clear view of where data is being housed, and for what purpose, is particularly pivotal.

With this in mind, it is crucial to have a “single source of truth” to bring various data streams together and enable real-time, self-serve insights to your whole employee base. As an example of this in practice, data is a great way to understand your existing clients more intimately and nip any problems in the bud early. By building a custom data dashboard incorporating, for example, number of support tickets issued, change in ticket sentiment and number of days to renewal, you can build up an accurate picture of account health and how this has changed over time. In combination with real-time metrics on which products and features are being used and how, sales teams can have more meaningful and accurate conversations with their customers, converting at-risk accounts into potential growth opportunities.

Given the dip in VC investment mentioned earlier, it is more important than ever for startups and scale-ups to do more with less and set a strategic roadmap that supports rapid growth. By using data to measure and action customer feedback, these organisations can be more agile in taking new products to market and making sure these are useful and address specific pain points.

Whether a fintech scale-up or an established name, it has never been more important to shift your operations to a more data-led strategy. With an uncertain outlook ahead for business across all sectors, making data the “single source of truth” can help to navigate market trends, identify new growth opportunities and simply make an organisation’s decision-making smarter and more efficient. Through data-driven innovation and growth, one of Britain’s most valuable industries can continue to thrive in the future.

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The Bank of England partners with Appvia to assist in the design, construction and assurance of a new cloud environment

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The Bank of England partners with Appvia to assist in the design, construction and assurance of a new cloud environment 3

The Bank of England has appointed self-service cloud-native delivery platform Appvia to support the creation of a new cloud environment.

The announcement follows a public procurement process which commenced in January 2020. The Bank of England will work with Appvia on design, construction and assurance of a modern, fit for purpose cloud environment.

During the two-year partnership, Appvia will be supporting development and project teams within the Bank in testing and deploying code in cloud environments, working with security teams to integrate the cloud into existing operational and security processes; and implementing information governance compliance so staff are able to collaborate safely and securely.

Oliver Tweedie, Head of Digital Platforms at the Bank of England, said, “We have selected Appvia as our Cloud Delivery Partner to help us realise the Bank’s cloud ambitions and unlock the potential of the Cloud. Appvia come with a great pedigree and a wealth of experience delivering Cloud services within government.  Working in collaboration with Bank Technology teams, Appvia will help us shape and build the future of Cloud services across our organisation – a key part of our Technology strategy.”

Jon Shanks, CEO and Co-Founder of Appvia, said, “This is an exciting opportunity to work with the Bank as it undergoes a step-change in its approach to the cloud. Harnessing innovative cloud solutions, such as containers and Kubernetes is a real business enabler for the Bank to streamline the software development lifecycle, ways of working and cloud operating model. We look forward to working with all stakeholders at the Bank of England to support its digital transformation journey.”

Appvia, which counts the Home Office among its major clients, is a self-service platform that enables organisations to scale their infrastructure quickly, securely and easily using services such as Kubernetes. In September, Appvia launched the world’s first developer-centric tool to enable teams to predict and control cloud costs.

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Solving the Challenges of the Modern Retail Industry with SD-WAN

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Three key benefits of SD-WAN can help retailers solve new and old challenges and prepare for an uncertain future

By John Tait, Global Managing Director, TNS Payments Market

As customer needs and preferences change, and as technologies disrupt formerly effective strategies, retailers are confronted by continuous challenges in the modern era.

But no year has been quite like 2020. Mandates ordering the public to stay at home crippled foot traffic earlier this year and, even when physical stores were able to open, social-distancing measures have limited the numbers of customers permitted indoors, while fears of the virus have driven others away.

With new and old challenges impacting the industry, it’s time to think differently. Retailers need to look closely at how technology can support their operations and their customers, secure customer payments and business data, and help them adopt the digital strategies that will be vital in an uncertain future.

One network technology, software-defined wide-area networking (SD-WAN), can offer a host of benefits for retail businessesAt its core, SD-WAN is a way of simplifying the management and operation of a network by decoupling the networking hardware from the way it is controlled. This gives a business the ability to manage network traffic to and from data centres and retail sites or offices, which alleviates network congestion and keeps the network from becoming overloaded. It can be layered on top of any connectivity solution to securely connect users with applications, including apps in the cloud.

But that’s not all it is. Here’s how it can help retailers navigate an ever-changing business and economic climate.

It can support new strategies and modernises operations

Many retailers will have heard the term ‘digital transformation’ and their stores may even be working towards it. The basic premise is that all businesses can boost their overall agility, flexibility, and customer service experience by adopting digital initiatives and technology-based strategies.

For retailers, this can mean creating online storefronts to connect with customers, instead of face-to-face interactions, with cloud-supported e-commerce options and curb-side pick-up options for pandemic-friendly buying experiences. Alternatively, it could mean adding chatbots and customer data management solutions to a website for ways to support customers with a leaner staff. Or implementing contactless mobile payment options for the first time, supported by secure, high-speed connectivity. It can even be as simple as adding a separate Wi-Fi network for customers to use then they’re in a store.

The possibilities for digital transformation are practically endless within the retail space — it all comes down to how daring retailers want to be and how much tech they want to add. But even the more accessible parts of digital transformation incorporate devices and apps that can strain traditional networks and add new levels of complexity around network management. Even simply adding digital displays to stream promotional videos in a store can stretch a network’s bandwidth.

That’s where SD-WAN can come in. Because it can improve network uptime, performance and redundancy, it gives a business the ability to support new strategies and add the latest cloud-based apps while also prioritising business-critical applications like payments. In other words, retailers don’t have to worry that their payments terminal might slow or go down just because they’ve added in-store digital features that also require connectivity, such as customer-facing tablets that let them place orders or view different options, or customer Wi-Fi.

For shops that have shifted to more of an e-commerce/delivery/pick-up strategy, SD-WAN supports secure digital payments while connecting an inventory management system to a payments system and online/mobile ordering portal, so customers can have a smooth experience, and their data remains protected.

It helps retailers embrace and secure the cloud

The cloud is a big part of digital transformation. Retailers’ own operations, like their databases or servers, might not yet be based in the cloud, but they almost certainly use services that are. Tools such as Office 365 and Google Drive, or payments apps like Square are all cloud-based.

Even if retailers aren’t there yet, their vendors are most likely going to push them there. Plus, cloud isn’t just good for the vendors they use; it’s good for retail businesses, too. Many of the aforementioned digital services like e-commerce and chatbots need the cloud to run optimally.  Once they’re in the cloud, retail organisation will have a world of possibilities, but to adopt cloud, they need to solve any connectivity issues they may have.

While cloud services allow business-critical applications to be accessed from anywhere, it does add security concerns. A recent IDG survey found 98% of businesses surveyed said securing applications, data and infrastructure in the cloud is “very” or “somewhat” challenging. Almost all of the organisations that IDG surveyed (95%) feel that their current security infrastructure hinders their ability to protect data — including payments data — as it moves to and from the cloud.

SD-WAN allows retailers to lock down cloud access at a branch or location by securing direct access to the public cloud and software-as-a-service (SaaS) apps like Office 365. SD-WAN also adds the ability to boost capacity during times of high network traffic, or failover to a broadband or LTE network. Retailers can quickly deploy new cloud-based apps with secure, reliable internet connectivity.

It boosts security, including customer payments security

SD-WAN allows retailers to deliver alternative payment options such as self-service kiosks and mobile POS. For example, outdoor terminals can be used for restaurants serving patio diners, or tablets that allow staff to check out shoppers from anywhere in a store.

This flexibility regarding where and how payments can be processed is ideal for the consumer, but it can create cybersecurity risks because of more devices and more points of interaction to and from apps or internet breakout. No retailer wants to be featured in the next headline about data breaches or other cyberattacks. This means properly security controls, especially for payments, are critical.

SD-WAN gives retailers a way to securely connect all types of payments options — POS terminals, cash registers, e-commerce gateways, mobile devices, automated fuel dispenser (AFD) pay-at-the-pump systems and more, as well as any other devices and networks within a retail environment.

SD-WAN can also protect sensitive card data. Retailers should opt for best-in-class security protocols like next-generation stateful firewalls (NGFW) (including IPSEC VPN tunnels), anti-virus features, URL filtering and SSL packet inspection. Regulatory compliance with PCI DSS security credentials is, of course, also critical within a retail environment, and some SD-WAN solutions available today have been designed to incorporate PCI DSS requirements.

While SD-WAN does offer an upgraded, secure technology that can bolt on to another connectivity layer and reduce the complexity of network management, retailers that don’t have in-house IT staff may still be challenged to successfully implement one. Fully managed solutions remove the hands-on work while giving a business access to all of an SD-WAN’s capabilities. They also add an extra layer of security: with a provider actively monitoring threats and keeping an eye on the network peripherals — all the data going back and forth, and what devices are using them — retailers can keep their network, and their customers’ card data, locked down.

Solving existing and future Challenges

This year has challenging in many ways and surprises are likely to continue for the next year or so. This uncertain new reality is understandably unsettling for many retailers, but it’s also an opportunity to rethink the way they do business to ensure long-term survival and drive growth, even in a volatile environment.

Implementing an SD-WAN solution can help retailers support digital initiatives and new strategies, deploy and secure modern cloud applications, and secure payments data. With the option of a managed service provider behind the SD-WAN, stores can focus on boosting the customer experience and modernising retail operations instead of managing payments terminals or troubleshooting a network. This will save time and money at a time when everyone needs more of both.

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