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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

Driving Business Transformation Through AI Adoption – A Roadmap for 2024

Author: Edward Funnekotter, Chief Architect and AI Officer at Solace

From the development of new products and services, to the establishment of competitive advantages, Artificial intelligence (AI) can fundamentally reshape business operations across industries. However, each organisation is unique and as such navigating the complexities of AI, while applying the technology in an efficient and effective way, can be a challenge.

To unlock the transformational potential of AI in 2024 and integrate it into business operations in a seamless and productive way, organisations should seek to follow these five essential steps:

  • Prioritise Data Quality and Quantity

Usefulness of AI models is directly correlated to the quantity and quality of the data used to train them, necessitating effective integration solutions and strong data governance practices. Organisations should seek to implement tools that provide a wealth of clean, accessible and high-quality data that can power quality AI.

Equally, AI systems cannot be effective if an organisation has data silos. These impede the ability for AI to digest meaningful data, and then provide the insights that are needed to drive business transformation. Breaking down data silos needs to be a business priority – with investment in effective data management, and an application of effective data integration solutions.

  • Develop your own unique AI platform

The development of AI applications can be a laborious process, impacting the value that businesses are gaining from them in the immediate term. This can be expedited by platform engineering, which modernises enterprise software delivery to facilitate digital transformation, optimising developer experience and accelerating the ability to deliver customer value for product teams. The use of platform engineering offers developers pre-configured tools, pre-built components and automated infrastructure management, freeing them up to tackle their main objective; building innovative AI solutions faster.

While the development of AI applications that can help streamline infrastructure, automate tasks, and provide pre-built components for developers is the end goal, it’s only possible if the ability to design and develop is there in the first place. Gartner’s prediction that Platform Engineering will come of age in 2024 is a particularly promising update.

  • Put business objectives at the heart of AI adoption – can AI deliver?

Any significant business change needs to be managed strategically, and with a clear indication of the aims and benefits they will bring. While a degree of experimentation is always necessary to drive business growth, these shouldn’t be at the expense of operational efficiency.

Before onboarding AI technologies, look internally at the key challenges that your business is facing and question “how can AI help to address this?” You may wish to enhance the customer experience, streamline internal processes or use AI systems to optimise internal decision-making. Be sure the application of AI is going to help, not hinder you on this journey

Also remember that AI remains in its infancy, and cannot be relied upon as a silver bullet for all operational challenges. Aim to build a sufficient base knowledge of AI capabilities today, and ensure these are contextualised within your own business requirements. This ensures that AI investments aren’t made prematurely, providing an unnecessary cost.

  1. Don’t be limited by legacy systems

Owing to the complex mix of legacy and/or siloed systems that organisations employ, they may be restricted in their ability to use real-time and AI-driven operations to drive business value. For example, IDC found that only 12% of organisations connect customer data across departments.

Amidst the ‘AI data rush’ there will be a greater need for event-driven integration, however, only an enterprise architecture pattern will ensure new and legacy systems are able to work in tandem. Without this, organisations will be prevented from offering seamless, real-time digital experiences, linking events across departments, locations, on-premises systems, IoT devices, in a cloud or even multi-cloud environment.

  • Leverage real-time technology

Keeping up with the real-time demands of AI can pose a challenge for legacy data architectures used by many organisations. Event mesh technology – an approach to distributed networks that enable real-time data sharing and processing – is a proven way of reducing these issues. By applying event-driven architecture (EDA), organisations can unlock the potential of real-time AI, with automated actions and informed decision making using relevant insights and automated actions.

By applying AI in this way, businesses can offer stronger, more personalised experiences – including the delivery of specialised offers, real-time recommendations and tailored support based on customer requirements. An example of this is in predictive maintenance, in which AI is able to analyse and anticipate future problems or business-critical failures, ahead of them affecting operations, and dedicate the correct resources to fix the issue, immediately. By implementing EDA as a ‘central nervous system’ for your data, not only is real-time AI possible, but adding new AI agents becomes significantly easier.

Ultimately, AI adoption needs to be strategic, avoiding chasing trends and focusing instead on how and where the technology can deliver true business value. Following the steps above, organisations can ensure they are leveraging the full transformative benefit of AI and driving business efficiency and growth in a data driven era.

AI can be a highly effective tool. However, its success is dependent on how it is being applied by organisations, strategically,  to meet clearly defined and specific business goals.

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Auto

Preparing for the Surge: Meeting the MCS Requirements of Electric Trucks

John Granby, Director of eTruck & Van, EO Charging and Erik Kanerva, Sales Director at Kempower

Auto electrification is moving at a rapid pace, with electric vehicles (EVs) going from a passion project for early technology adopters to the mainstream – especially when you consider the need to electrify consumer and commercial vehicles ahead of the government’s 2035 Zero Emission Vehicle mandate.

Electrification is also starting to play a vital role in public policy and commercial plans, leading to vehicle availability and a variety of improvements and increasing interest among commercial fleets’ prospective customers. As a result, all of the main car and van manufacturers have a respectable EV offering, and the eBus industry is well on its way to proposing a similarly credible offering for citizens.

Heavy-duty vehicle electrification has progressed slowly, but the pace has picked up over the last year, with several of the major truck manufacturers testing completely electric heavy trucks that are now near-ready to enter the general market.

This is a critical shift in the move towards net zero, given that heavy commercial vehicles account for around 25% of CO2 emissions from road transport emissions in the EU and approximately 6% of the region’s overall emissions. It’s a similar situation in the US, where medium and heavy-duty trucks account for around 29% of total road transport emissions or approximately 7% of the country’s total but make up fewer than 5% of all vehicles on the road.

Having clear goals and objectives in place for fleet electrification will be vital to ensuring the transport sector is on track. For example, Scania’s goal is that 50% of all vehicles it sells annually by 2030 will be electric. Despite Scania being the slowest into the market with battery electric vehicles, other vehicle manufacturers are following the same target, with Volvo Trucks setting itself a target for 50% fully electric vehicles by 2030 and the same with Renault, for example.

Meeting this ambitious goal will require the appropriate charging infrastructure in place so customers have the confidence to invest in the large-scale electrification of their fleets. That is one of the reasons why charging system manufacturer Kempower expects the commercial vehicle DC charging market in Europe and North America to have a 37% compound annual growth rate until 2030.

Trucks require substantial battery packs to provide a similar range as traditional engines, and having the right infrastructure in place to keep them regularly charged is certainly a key factor to consider when electrifying truck fleets. According to the European Automobile Manufacturers’ Association (ACEA), trucks will require up to 279,000 charging outlets by 2030, with 84% located in fleet hubs. By 2030, buses will require up to 56,000 charging outlets, with fleet hubs accounting for 92% of the total.

The Charging Interface Initiative (CharIN) is a global organisation that has been working on a standard for the rapid charging of trucks for several years. CharIN developed the Megawatt Charging System (MCS) concept, which serves as the foundation for the ISO and IEC standards which govern the design, installation, and operation of truck fast charging infrastructures.

The MCS is intended to standardise the quick delivery of enormous amounts of charging power to vehicles and provide stronger communication, which minimises downtime caused by unsuccessful charging events.

Customers who drive commercial vehicles follow particular driving habits. By taking advantage of the required break time from the hours-of-service restrictions governing their drivers, customers can travel further each day thanks to the increased charge rate that MCS offers. Better electrification of commercial cars is made possible by legislation that mandates that drivers take rest breaks. As a result, shorter charging durations to accommodate these breaks are beneficial.

The MCS will operate at up to 3,000A and 1,25 KV at its final development stage, delivering up to 3,75 MW of power when charging. With the backing of a significant segment of the industry, MCS is founded on an international consensus on technical standards. An internationally recognised standard is essential to promote harmonised solutions that reduce costs and boost interoperability without sacrificing safety and uptime.

Trucks on the highway are a key focus of the MCS, not only depot pricing. Large truck units operating long-haul routes and some smaller rigid trucks operating cross-border short-haul deliveries—such as logistics organisations operating deliveries between the United Kingdom and continental Europe—pay particular attention to this issue.

Most MCS charging occurs while drivers take breaks from their routes, but some depots may have a single MCS charger on site to do a flash charge if a truck needs to be turned around quickly. In order to balance this unit’s demand against other chargers on site, load management is crucial because it will require a power supply of at least 1 MW+.

Fleet operators should look to consider incorporating MCS into their whole charging ecosystem and solutions, regardless of whether they are thinking about how electrification will affect their fleet of vehicles on the road or how their depots will operate.

Adopting cutting-edge energy management technology solutions will enable effective fleet electrification, particularly at depots. Investing in effective load management technologies will be critical to maximising existing grid infrastructure capacity while decreasing the need for additional investments in generation or distribution capacity.

Investing in and deploying effective energy management technologies is the key to a smoother, more efficient shift for commercial fleet operators. They are critical in lowering energy expenses, both economically and environmentally.

Energy management solutions for charging electric fleets will also help maximise existing grid capacity, reducing the need to invest in new generation or distribution capacity. This will be an essential factor for fleet managers to consider as eTruck fleets expand and other commercial vehicle fleets, such as buses, increase demands on infrastructure.

With unprecedented energy and investment going into electrification, 2024 looks to be a pivotal year for picking up the momentum of progress around MCS in the logistics sector. If done right, it will create a shift of optimism in the market to accelerate the electrification of commercial fleets and promises to positively impact other sectors, such as marine and aviation, contributing significantly to reducing carbon emissions.

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Business

Three ways beauty and personal businesses can gain back lost revenue due to admin, ahead of summer

Attributed to: Samina Hussain-Letch, Executive Director, Square UK

The entrepreneurial beauty and personal care sector in Britain amounts to a whopping 36 billion pounds, but the pressure of manual labour endured by business owners is an obstacle for converting revenue and growth.

Our recent industry study highlights that nearly half (43%) of British barbers, spas, nail salons, personal trainers, tattoo parlours, and piercing studios are not using digital platforms or tools to automate bookings, ultimately losing over a full working day each week to administrative tasks alone. This equates to approximately two months lost per year, to manual admin tasks for beauty and personal care businesses.

We’ve listed three ways beauty and personal care businesses can gain back revenue ahead of summer:

  • Detoxing manual admin

Admin tasks are the equivalent to Pandora’s box for beauty and personal care businesses. The tasks may constitute using paper diaries to schedule appointments, manually rescheduling appointments, or taking bookings and sending reminders by message or phone call.

These seemingly minor chores can be a large time drain for businesses that rely on manual processes. The research found filing down time between client appointments to be one of the most difficult challenges, with 39% of the sector facing this over the last year, alone.

Businesses should identify how they could set timings to the specific duration of each service and still build in cleaning time after the appointment. Digital tools like an appointment booking software play a crucial role. By automating manual admin, owners can offer bookings with a wide booking window, allowing them to spend devoted time on each customer, resulting in the allowance to foster a loyal relationship that will keep them coming back, while giving their workforce time to clean up after the appointment.

  • Tapping into the power of technology

The solution here may sound simple, but business owners should again lean on technology to transform manual labour.

With time back, salons can give their workforce time to speak to customers on what other services they can offer to expand business offerings.

With the integration of tech tools for beauty and personal care businesses, nearly half (48%) of business owners would like staff to treat themselves to finishing work on time, while identifying new training for their team. Adopting a technology solution can unlock efficient management for businesses as appointments can be booked online and reminders can be sent using the software.

With the research showing that 42% of consumers want to book appointments on the weekend or after hours, working with the software promises ease for customers that are looking to make reservations after businesses are closed for the day.  But how can beauty and personal care business owners look to drive up their revenue when switching to an appointment software?

  • Driving up the revenue road

Our research also highlighted that only 1 in 5 of beauty and personal care businesses are automating marketing campaigns or inventory management. This sheds light that not all beauty and personal care businesses are optimising their toolset.

The time gained back from using automated appointment software allows businesses to think more strategically about marketing and pricing. Integration of an automated software readily links up with an online store that allows salons to not only manage inventory more effectively, but offer new products to clients on different channels of their choice.

With new offerings, businesses have extra opportunities and routes to drive up revenue. Selling products online is a sure-fire way of creating new business, as well as keeping their back end organised and offering consumers more options when it comes to buying products that are used within or after their appointment – as take home collateral.

Having an automated booking software for beauty and personal care businesses is a great way to unlock further revenue, train a workforce with time back, spend more time connecting with clientele and ensuring the business is driving bookings even while the salon is closed. It’s a win-win situation that will position businesses for success this year. Because as we all know, a business is only as successful as their customer satisfaction.

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