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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

Leveraging Technology for Sustainable Logistics and ESG Compliance

by Will Lovatt, General Manager and Vice President, Deposco Europe

A growing number of consumers are demanding packaging that is sustainable and environmentally friendly.. Consultancy, McKinsey, recently launched a survey to explore people’s attitudes to the topic across 11 countries worldwide. In all surveyed countries and across end-use areas, the majority of respondents claim to be willing to pay more for sustainable packaging,

Of course, features and functions remain important, but the sustainability and ESG (Environmental, Social, and Governance) aspects of the logistics process are becoming increasingly significant in consumers’ purchasing decisions.  The entire supply chain, including the sourcing of raw materials, manufacturing processes, packaging, delivery methods, return policies, labour practices, and initiatives for regeneration, is under scrutiny. Today’s informed consumers are making deliberate choices, favouring brands and delivery services that align with their values on these fronts. Therefore, it’s essential for brands to not only maintain high standards of service but also to provide a variety of delivery options. This range should cater to immediate needs as well as offer solutions like batched deliveries at convenient pick-up points, catering to the growing demand for flexibility and sustainability in the shopping experience.

Regulation and risk management

Consumers are undoubtedly a driving force in ESG-focused logistics transformation, but businesses must also meet a growing number of regulations that are driving the need for ESG considerations in the logistics sector. For example, the European Union’s Sustainable Products Action Plan includes several requirements for businesses to provide information about the environmental impact of their products. Now, we expect regulators to be closely monitoring final mile delivery and whether zero emissions vehicles are being utilised, at least within urban areas.

From a risk management standpoint, ESG considerations are critical. Neglecting ESG risks exposes businesses to reputational harm, financial penalties, and legal repercussions. Today’s consumer sentiment is such that unsustainable logistics practices can prompt consumer boycotts or lead to regulatory fines, underlining the importance of ESG compliance in modern logistics operations.

The role of technology in greening logistics

So what can businesses do to mitigate ESG challenges? To address ESG challenges, businesses must transition from traditional paper-based systems to advanced technology solutions. These solutions enhance visibility across the entire supply chain, from production to delivery. Distributed order management systems, for instance, offer real-time insight across extended fulfilment networks, enabling the optimised allocation of consumer orders to the most suitable stock sources, balancing cost and speed. In today’s era of stringent ESG and sustainability standards, it’s crucial for organisations to have comprehensive oversight over the movement of goods and the various stakeholders involved, beyond mere timing. This technological shift is essential for meeting the evolving demands of ESG compliance and sustainable logistics.

Actively tracking the credentials and integrity of every checkpoint in the supply chain is now everyone’s problem. Consumers care deeply about the ethical sourcing of raw materials and the labour practices of third-party logistics firms involved in product sourcing. Technology can allow organisations to map the complete movement of a specific customer order, from acquisition to  final shipment, and then notify that customer directly.

Organisations then need to implement sustainable practices in the warehouse, leveraging technology to optimise operations. This includes using technology to determine the most efficient customer packaging sizes, reducing waste, and guiding staff on consolidating orders to minimise shipments and cut carbon emissions. Additionally, offering consumers options like click-and-collect can align with their existing plans, promoting sustainability rather than just delivery speed. Providing flexible delivery options is increasingly seen as crucial, as the fastest route is typically not the most eco-friendly.

A sustainable future

As data and computer security threats evolve, we’re now transitioning to increased controls around how our products are made, procured, packaged and shipped to the public. For a variety of reasons, from ethical to legal and public sentiment, ESG considerations and controls are becoming increasingly important in logistics and fulfilment.

Alongside this, the trajectory is for more sales to be made via Direct-to-Consumer channels, the desire for more convenient services and customer willingness to hop brands means that businesses  must prioritise sustainable practices. Consumers now expect the ability to customise delivery parameters and choose from transparently-priced options, or they will take their business elsewhere. Brands must manage their order and delivery options effectively to stay competitive.

The key to improving supply chain management lies in adopting sustainable order management and fulfilment technologies. Companies should invest in the latest platforms that support best practices in ESG strategy. These advanced solutions enable compliant processes, cost-efficient operations, increased sales, efficient DTC fulfilment and positive customer experiences.

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Business

How AI is turning IoT data into actionable insights in the public sector

By Mark Gannon, Director of Client Solutions at Netcall

The use of IoT devices within the public sector is growing rapidly, presenting opportunities for greater efficiency, cost savings, and vast service improvements among a plethora of other benefits. From transportation, infrastructure and even waste management, the ability to monitor and capture data in a range of critical areas has the power to transform organisations across the sector.

Health and Social Care is one setting where IoT devices can drive real impact by significantly improving the day-to-day lives of vulnerable people. In fact, late last year, it was announced that the Glasgow City Region would receive over £3 million to deliver a Health and Social Care-focused project driven by IoT technologies, as part of wider 5G connectivity funding to make public services better. Remote sensors can be used within social housing to detect and control factors such as damp and mould whilst motion sensors can alert emergency services if a vulnerable resident has fallen – not only helping to provide better care, but enabling care to be delivered more efficiently and rapidly to those that need it.

With public sector spending under constant scrutiny, and wider budget cuts increasingly forcing those operating in the sector to achieve more with less, technology that can easily connect and exchange data from device to system, removing a number of manual workflows and processes, is proving invaluable. Taking that one step further, being able to leverage that data and turn it into actionable insights in the future is fast becoming an exciting reality.

So, what’s holding the public sector back from leveraging IoT devices in this way?

The short answer: Data.

Mark Gannon

Managing IoT-associated data adds a layer of complexity to those responsible for it. With IoT devices typically uploading data multiple times a day,  analysing, and actioning the torrents of data can soon become a mammoth task.

IoT and AI: a winning combination

The application of AI alongside IoT is rapidly being recognised as a key solution to this rising data deluge. Not only can it ease the administrative burden by ensuring the IoT devices and any associated workflows are working effectively, but it can also be used to spot any trends and patterns within the device data. Insights such as these can inform longer-term solutions and decisions whilst also acting as predictive analytics to anticipate the likelihood of certain events occurring in the future. 

In the case of Health and Social Care, this could mean predicting the probability of a vulnerable resident having a fall based on previous data gathered and putting preventative measures in place to reduce this. IoT wearables are another rising trend in the healthcare setting and can be used to track vital signs and detect anomalies that may need urgent attention. Meanwhile for social housing, using smart solutions including intelligent automation and IoT can help housing providers significantly reduce their risk management burden. For example, the data gained from IoT sensors in tenant homes can be used to proactively identify damp and mold risks and automate alerts.

Looking at the public sector more broadly, we could also see the combination of AI and IoT optimised services such as traffic management, waste management right through to public safety and even managing air quality. By using AI to analyse and draw insights from IoT devices, the concept of the smart city is much closer than we think. AI can use IoT sensor data alongside cameras already in position to adjust traffic signals, optimise routes and even detect incidents and alert public services. It is also expected to play a key role in managing and reducing public service energy consumption, by monitoring and controlling street lighting and other public infrastructures.

Turning insight into action

Whilst AI can take care of the initial analysis, to truly extract the value from IoT data, public sector organisations must ensure these insights are fed into the right systems and married up with the correct workflows to turn them into action.

Fortunately, with the use of application development tools such as low-code application platforms, organisations can rapidly create processes that utilise IoT and AI-driven data, connecting it to internal as well as third-party systems. These solutions move away from traditional development, which can be costly and time-consuming, and can empower broader teams to rapidly build and develop their own applications using a visual drag-and-drop interface. By doing so, organisations can quickly integrate systems and technologies to access actionable data.

As AI and IoT technology continue to advance, we can expect to see more innovative and impactful use cases in the future. Unlocking the benefits, however, will hinge on having the systems and processes in place to trigger next steps. By leveraging the tools that enable this, public sector organisations can use the data from connected devices to create powerful, proactive and dynamic services that fulfil the growing needs of its customers.

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Business

Enhancing sustainable commitments in retail banking

Source: Finance Derivative

Mikko Kähkönen, Head of Payment Cards Portfolio at Giesecke+Devrient

Today, more consumers are keeping environmental pledges from banks at the forefront of their financial decisions, and those banks that fall behind their competitors on sustainable action are risking the loss of customers, particularly among the younger generation. This shift highlights a growing expectation from consumers for their banks to make and uphold sustainable commitments, signalling a change in consumer priorities where environmental responsibility is increasingly seen as essential, not just an optional extra. Giesecke+Devrient research shows that as many as 64% of Gen Z consumers would be happy to switch banks if their current provider didn’t meet their expectations.

However, sustainable commitments must be authentic to avoid any accusations of greenwashing. Unfortunately for the banking sector, consumer trust is being strained as greenwashing incidents have risen by 70% around the world. Banks can’t simply make claims that can’t be backed up; pledges must be supported by evidence. There’s a number of practical steps they can take to prove their credentials.

Banking on the evolution of cards

The bank card has increasingly become a physical symbol of the relationship between consumer and bank. As such, banks have taken steps to ensure that it is designed with sustainability in mind. Many are now created with recycled PVC material, commonly up to 100%, with a lower carbon footprint.

Some banks are elevating their sustainable credentials by utilising cards that are made from plastic collected in oceans and coastal regions, helping to clear up the world’s beaches. Alongside this, others are issuing cards made of polylactic acid sourced from (inedible) corn starch. This is a fully renewable biomass that could be industrially composted.

Sustainable cards can then encourage further sustainable initiatives. We’re more often seeing issuers now actively taking part in local conservation, community development and educational projects around the world to help benefit the planet. Communicating these efforts to customers can help reinforce sustainable credentials and leave tangible evidence that proactive action is taking place.

Contributing to the circular economy

Powering the sustainable credentials of issued cards is one aspect, but it’s also vital that banks encourage their customers to do the right thing with them once they expire and they need to be discarded of. We’re already seeing prominent banks making progress in this area. UK retail bank, Santander, has launched a pilot scheme in branches and ATMs that encourages customers to return their outdated credit and debit cards for recycling, for example.

The collected cards are then turned into plastic pellets to be used elsewhere, for instance to make outdoor furniture, sponsored by Santander, for local communities. As more banks opt for card recycling, consumers will be empowered to dispose of their old or expired cards in a green way and help to reduce ecological footprint.

Into the digital world

Outside of card innovations, retail banks can add to their credible green claims with digital solutions. As an example, the card issuance process has typically involved paper letters, with additional PIN letter, that are posted out to customers to activate their payment cards. Instead, an ePIN service can enable customers to instantly access their PIN via their choice of a mobile app or SMS message, reducing paper waste and waiting times.

There are also innovations taking place in terms of QR codes and augmented reality (AR) solutions to enable digital marketing offerings. This means that printed collateral doesn’t need to physically sent out in the post. The more that these types of communications are sent out digitally, the more that consumers see a tangible commitment to sustainable practices.

Banks can even take an additional step by deploying third-party partners to track the CO2 footprint involved with every purchase or payment. By opting for organisations that have a solid track record in green practices, such as supporting product certifications and information on eco-products and their claims, they can make steps to compensate for each transaction carbon footprint.

Contributing to the green story

To ensure they don’t come under any criticism regarding their environmental claims, banks and financial institutions have the opportunity to adopt sustainable practices that align with their customers’ expectations for eco-friendly commitments in both their physical and digital services. They can introduce banking cards made from recycled or entirely compostable materials, eliminating plastic waste.

Digitally, banks can minimise unnecessary paper use by employing online applications to simplify the process of delivering PINs. By innovating in these domains, they can fulfil their environmental responsibilities and establish that essential trust with consumers, contributing positively to the planet’s wellbeing.

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