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ADOPTING AI TO REPAPER LIBOR CONTRACTS MAKES BUSINESS SENSE

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By Peter Wallqvist, Global Practice Director, iManage RAVN

 

At a recent event, both the President of the New York Federal Research and the Chief Executive of the UK’s Financial Conduct Authority (FCA) urged the sector to speed up the move away from contracts linked to LIBOR. The ‘death’ of LIBOR and the move away from this world’s most widely used interest rate benchmark to alternative reference rates by the end of 2021 is an enormous undertaking for financial institutions.

 

Challenge of unstructured data

To this end, foremost, financial institutions need to identify the contracts that need to be transitioned from LIBOR to alternative reference rates – within the existing remit of these documents.  Herein lies the challenge – institutions lack visibility of their contract estate. Typically, nearly 80 per cent of information is unstructured and sealed in documents. As unstructured data has no useful metadata, these documents are not searchable for LIBOR relevant information.

Peter Wallqvist

Consequently, determining the volume of contracts that requires repapering across the portfolio for LIBOR is proving to be problematic. Also, only once the problem is quantified, can financial institutions then identify the relationships that are impacted. For instance, which of those contracts have fall-back provisions, which agreements will require renegotiations and, if so, what the amendment process will be, and such. There are substantial financial risks to institutions if contracts are not accurately amended, not to mention the regulatory implications.

 

Manual exercise = staggering legal cost

The traditional approach towards this repapering project would be to hire a law firm to undertake the entire exercise manually – from identifying the contracts that need repapering to undertaking the individual tasks for successful completion. Given the volume of contracts that exist in financial institutions, it is an unrealistic option. Even conservatively, financial institutions would be looking at legal costs in the region of millions of Pounds. Aside from the staggering legal fees, completing the transition in time is almost impossible due to the vast expanse of the contracts landscape in financial institutions.

 

Human-supported AI adoption

While the task is immense, with the aid of technology such as artificial intelligence (AI), it is achievable – safely, accurately, cost-effectively and crucially, in a timely manner.

Prior to applying AI, digitising contracts is essential. By making the data machine readable, instantly important information becomes searchable and ready for the application of machine learning techniques, to automate the identification and extraction of key data. The information can then be triaged and interpreted, as appropriate.

AI can help deliver a structured methodology to manage the process, end to end. Financial institutions or their service provider can use ready-made, standard extraction models and further train their application to extract the contractual information relevant to them in a format that is machine readable and easily consumable through existing reporting tools.

This scenario represents the ideal human – machine partnership. The technology will automate the tedious and time-consuming manual cognitive processes that are economically unfeasible or even impossible to complete in the current timescale – all the while supported and guided via human intervention and oversight.

To elaborate, financial institutions can use different data points to determine the scope of their repapering exercise. A search for contracts using the ‘termination date’ data point, within minutes, lists all the contracts expiring before 2021, which the institution can disregard, and focus on the remaining contracts that require attention.

For the contracts continuing past 2021, AI technology can be taught by humans to read, extract and interpret other critical business information and apply ‘decision tree’ logic to support the repapering effort. This will result in automation where needed.

 

Many scenarios demand repapering

Repapering isn’t required only for LIBOR contracts. Due to a continuously changing regulatory, economic and legal environment, there are many situations where repapering exercises will likely be required. Brexit is a good example. Deal or no-deal, financial institutions will eventually need to amend reams of agreements to comply with business requirements.

Hence, digitising and teaching a machine learning system to extract many of the data points for LIBOR will also prepare financial institutions to efficiently manage similar projects in the future too.  They will be able to re-use the same machine learning models for new purposes.

A human-supported adoption of AI technology to amend LIBOR contracts to meet the 2021 deadline makes business sense. It represents a realistic approach to AI adoption, to deliver real and tangible benefits of efficiency, accuracy and cost savings. It is a worthy investment for financial institutions.

 

About the Author

Peter Wallqvist is Global Practice Director at iManage RAVN, where he is responsible for positioning new and enhanced practical AI solutions that empower professionals to increase efficiency, improve productivity, and mitigate risk. Peter was co-founder of the AI company RAVN Systems, which iManage acquired in 2017.

 

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Business

SMART WEARABLES IN HEALTH TECHNOLOGY

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Gavin Bashar, UK managing director at Tunstall Healthcare, discusses smart wearables in health and social care, the benefits, and what the future holds.

For many years, technology has been integrated into every sector in the economy, from banking to shopping, to enhance the experience of customers.

However, health and social care services have fallen behind in terms of technology adoption and innovation, for reasons including fragmented structures, limited resources, and reluctance to change.

Yet person-centred technology has the power to transform lives, not only enabling the ongoing delivery of support services to vulnerable people, but reshaping the health and social care sector as a whole.

Technology-enabled health and care is the service of the future and the ongoing and unprecedented rapid acceleration in the adoption of care and health technology has demonstrated the numerous benefits in practice.

 

Why wearable technology?

Wearable technology enriches the lives of a range of cohorts, including people living with long term conditions such as dementia, and connects vulnerable individuals to key stakeholders such as clinicians and family members.

The better application of technology and wearable devices can deliver significant benefits including improved patient outcomes and service-user experiences, a reduction in the strain on staff and carers, and potential cost savings or avoidance.

Wearable devices and the systems they’re linked to use wireless and digital technology to enable support services to be efficient, flexible, responsive, and tailored to the individual. The unobtrusive devices also ensure that care delivery is discreet and won’t interrupt the daily life of service users.

Proactive healthcare is also easier thanks to wearable technology. Service users become much more engaged with their own health and have greater opportunity to develop a proactive approach to their health monitoring, rather than reacting. Technology can be used to enable intervention at an early stage by identifying irregularities before they become more significant health or care issues which require expensive care and treatment.

There is significant evidence that wearable technology offers users greater choice in terms of the care they receive and prevents incidents in the first place, by recognising an emergency as soon as it occurs. Community alarms and telecare services in particular are effective methods of signposting to clinicians and additional services when a user requires care, and this has been particularly important during the pandemic.

 

Wearables in a home and residential care setting

When providers are presented with unique opportunities to drive the adoption of digital health solutions such as wearables, there must be a focus on designing holistic services which fit seamlessly into the user’s life, work with clinical practices, and ensure any data that is collected is stored securely.

There is a huge range of wearable technology and devices available which perform a number of functions and can therefore be tailored to suit the needs of an individual and their stakeholders, such as carers and clinicians.

Small, discreet pendants available on the market can raise alarm calls in emergencies, and protect users living independently at home or in group living environments. Features can include integrated alarm buttons, LEDs for visual reassurance that a button has been pressed, easy to wear options, and auto low battery monitoring and alerts.

Falls are the main reason that older people are taken to hospital and unaddressed fall hazards in the home are estimated to cost the NHS over £430 million1. Smart wearables use advanced technology to allow users to raise an alarm from anywhere in their home or care setting if they are in difficulty. Some devices can also automatically raise an alert if a fall is detected.

This technology offers confidence to individuals who are at risk of falling, such as people with limited mobility, the elderly, and people with long-term conditions such as epilepsy, diabetes and Parkinson’s disease.

Wearable technology not only benefits vulnerable individuals living at home, but also those in residential care settings and their carers. Nurse call systems which are integrated with smart wearables can be personalised to ensure individual safety with minimal disruption to other care home residents. It also respects dignity while improving management insights, workflow efficiencies, staff morale, and care quality.

Devices can also be worn which protect users when away from home, automatically detecting falls, offering an SOS function and providing the user’s location.

 

The benefits of managed technology and smart wearables

Technology can require equipment from a range of manufacturers. Identifying, purchasing and managing devices from multiple sources can prove challenging and resource intensive for local authority community alarm centres.

Nottinghamshire County Council (NCC) has a managed healthcare service which includes home units, telecare sensors and wearable devices which are all tailored to the needs of individual service users.

All connections are monitored and referrals are made to the NCC Responder team, nominated contacts or the emergency services, as appropriate. NCC also has Reablement Assessment flats with telecare in place to support people leaving hospital, helping them to increase wellbeing and regain skills to enable them to return home.

Between October 2019 and December 2020, significant benefits and improved outcomes have been observed. Over 280 cases where a high and immediate risk of admission to residential care were avoided, and over 650 cases which required additional community care costs were avoided.

In total, savings of over £2.2 million have been achieved after additional service costs, costs of homecare for people diverted from residential care, and loss of client contributions have been deducted.

 

The next generation of wearable technology

The deployment of smart technology, including wearable devices, enables vulnerable people to live safely and independently for as long as possible. However as demands change, the care journey is now evolving rapidly and healthcare services must adapt accordingly.

We’re beginning to see the next generation of predictive care technology and smart wearable devices, and over the next few years this will encompass integration that enables diverse and scalable models of health and social care. Using AI and taking data-driven insight from multiple sources, providers will use this next generation of solutions to optimise Population Health Management programmes by providing personalised and anticipatory care.

Smart wearables in health and social care are designed to improve quality of life and empower individuals to take control of their health, while supporting the NHS and additional stakeholders by reducing the number of required GP visits, ambulance callouts, hospital admissions, and demand for local authority funded residential care

For more information on how wearable technology can support the ongoing delivery of proactive and effective support, please visit www.tunstall.co.uk

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Finance

TRENDS IN FINTECH IN 2022: FROM ARTIFICIAL INTELLIGENCE TO FINANCIAL WELLNESS

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By Jayne Zhang, Lead Digital Transformation and Commercialisation consultant, FPT Software

 

The financial services industry has been pivoting towards digital transformation for the last decade or so.  The onset of COVID-19 pandemic has only heightened the importance of this transformation as the demand for digital solutions has rapidly grown.  The rise of fintechs and brands has also fostered the maturing digital landscape and changed customer expectations.

As competition increases, it’s no longer enough to only offer financial products through digital channels. Surveys show that the main drivers for customer attrition are poor banking apps and a lack of digital services, so the financial services industry needs to embrace new strategies and technologies with a renewed focus on the customer context (experience and engagement) and provide enhanced digital experiences to retain and acquire new customers.  Here are seven trend predictions for 2022 and beyond:

Increased investments in digital platforms, composable banking options and innovation

According to Forrester Research, in 2022, it’s predicted that a quarter of banks will increase their tech spending by 10% or more. Banks must invest in and build an infrastructure that facilitates their digital transformation and helps them provide an exceptional customer experience with digital intelligence and automated decisioning. This includes increased investment into the adoption of the micro-service and API layers that allow for seamless integration into digital platforms and ecosystems.

Creating a unified customer experience and journey

The digital experience is now the primary driver of customer attrition and it’s a major factor for consumers when it comes to choosing a bank. To stay competitive, banks need to deliver an attractive and comprehensive digital experience that works in parallel with their physical branch and call centre services. Business must look at the entire customer journey from end to end – from fast and seamless onboarding to real-time notifications with personal and relevant messaging, offering products relevant to the customer life cycle, well integrated self-service tools, enhanced security and fraud protection, and also offer insights for customers.

Increased focus on creating an AI structure which enables contextual and connected decision making

In order to leverage the digital decision platforms and logic that helps with decision making, there must be an increased focus on data-driven decision intelligence technologies, such as machine learning and AI. Many institutions are moving to a hybrid human and AI decision-making model to compose a full view of the customer, which enables customer life cycle management with intelligent, relevant and timely decisions. According to the International Data Corporation, global spending on AI systems is forecast to jump from $85.3 billion in 2021 to more than $204 billion in 2025. The compound annual growth rate (CAGR) for the 2021-2025 period will be 24.5%.

The power of data

To leverage the vast amount of data available, companies must be able to define, map, analyse, and use this data to create customised digital experiences with personal and relevant messaging and offers that customers want. Data responsibility will become increasingly important with the rise of data aggregation.  Banks must balance the power of data with responsible AI, keeping in mind the importance of ethics, transparency, and security. Consumers are also more data aware with a maturing understanding of how their data could be exposed and used.  This causes them to be more risk averse when it comes to giving out their data without a clear return.  Banks will need to provide data value such as data insights for enhanced risk assessment or fraud protection, to empower customers with their own data, which in turn could give them better engagement and personalisation.

Financial wellness and education – humanising the digital experience and rethinking what it means to be customer-centric

A bank’s bottom line relies on the financial wellness of its customers, thus a focus on the financial health of customer should be a primary strategic goal. Having access to financial services does not necessarily mean they’re financially healthy. The younger generations may be more digitally savvy, but they aren’t financially savvy. What this means for banks is that there’s a renewed need to understand their customers’ life cycles, and their journey, be able to empathise with them, anticipate their needs, and deliver products/services to help them improve their financial wellbeing at the point of need – allowing their customers to feel financially secure. Studies show that putting their customers’ financial wellness at the centre will help banks grow profitable portfolios and increase long-term shareholder value.

Expand their line-up of sustainable finance products

Environmental, social and governance (ESG) considerations are gaining importance. Some regulators are proposing that climate reporting by banks be made mandatory. The ESG transition will need banks to balance business while embracing and implementing ESG-related policies and standards. Financial services firms will be keen to accelerate their speed to market for ESG products and services, such as green loans and mortgages, and checking accounts with sustainability and carbon-tracking features.

Open banking and embedded finance

With regulators in the EU and UK proposing measures to extend data sharing principles across financial and nonfinancial products, 2022 will see a growing number of banks experimenting and pivoting their business models toward a more open, collaborative platform approach. Leveraging this open-banking connectivity and focusing their efforts on delivering select capabilities as a service, powering the growth of embedded finance. This all goes back to the focus on the customer, and being able to provide financial products, features, services and education at the point of the customer need, and not through a separate journey.

 

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