Jerry Wallis, Head of Industry Strategy, EMEA, SS&C Blue Prism
In current times, businesses and citizens are seeking more reassurance and proactive support from the public sector than ever before, as they weather the remaining storm of COVID-19. In turn, those working in the public are dealing with a long list of challenges every single day to meet new needs and requirements.
Under ‘normal’ circumstances, citizens already hope to deal with the public sector in the same seamless and convenient way that they shop online for groceries. However, during large-scale crises – like, but not limited to the ongoing pandemic, rather than downsizing staff within public services, they are having to work harder than ever before.
If there’s one thing in all this that has held the public sector back it is manual, inefficient, and time-consuming backend processes. No longer merely a tactical tool to streamline mundane back office processes, intelligent automation (IA) has become an indispensable catalyst for digital transformation. As a result, many public sector IT departments have a new charter: save time, money, and resources, while improving the overall level of operations. Could RPA and intelligent automation be the answer?
First, a Public Sector Mindset Shift
For years, companies have invested in digital innovation enabled by intelligent automation and cloud computing. Businesses reap the rewards in terms of business agility, efficiency, cost savings, staff being freed up to do more meaningful tasks, and improved customer experiences. This has now raised the expectations of citizens as ‘consumers’ of the public sector. People no longer differentiate between whether they are dealing with a financial services institution, an e-commerce platform, or a government agency. They now expect fast and frictionless interactions, every single time. This means that the decision makers in the public sector need to respond accordingly to avoid damaging negative user experiences.
COVID-19 exposed existing gaps in the health sector as the NHS waiting list back log continues to spiral out of control, the Government has said this is going to take years to clear with over 5.7 million people on the waiting list. Now is a crucial moment to prioritise automation. As appointments went online to ensure only high priority patients were entering hospitals, the NHS rolled out Microsoft teams to 1.2 million employees in a few weeks enabling them to commute remotely with colleagues and patients. Not all organisations are well-equipped for a technology-charged future.
Exploring New Possibilities in Health Care
Intelligent automation improves citizen and patient experience with greater efficiency and security. Robotic Process Automation (RPA) can handle administrative tasks around the clock, allowing staff to focus on pressing tasks that require decision making and leadership skills. Intelligent automation in healthcare will be instrumental in the development of the NHS. The rapid pace of the pandemic has left little time to streamline internal processes. Therefore, the use of spread sheets and other manual processes proliferated purely to keep up with the extreme workload. These inflexible processes are outdated and prone to human error. They must be replaced with a long-term solution that is underpinned by automation. In addition, leaving the more mundane roles to RPA, allows NHS staff to apply attention to the more fulfilling tasks and carry out patient care.
The pandemic has put a huge strain on healthcare facilities globally and amid this storm, we are seeing the NHS continuing to struggle to balance short term pressures of staff shortages and technical errors. This makes the long term digital transformational goals of the NHS Long Term Plan appear a lifetime away. Every NHS trust should be examining processes to prioritise what can be automated and taken off over stretched human workers. This is how we begin to tackle the extreme waiting list.
Balancing the future needs while meeting today’s demands
Whilst the pandemic has created huge challenges for the public sector, it has forced businesses to become more agile and transform as speed. While public services have felt a strain, they will be able to offer a more user-centric service through technology.
At the end of the day, top-ranked digital governments tend to have centrally driven digital transformation mandates, coupled with evolutionary steps taken to strengthen and fulfil that mandate year-on-year. Within this equation, the benefit of unattended and intelligent automation is its interoperability with existing systems and its scalability. That means that any government agency and business can access an extensive toolbox of cutting-edge technologies, such as artificial intelligence or machine learning algorithms, and can easily deploy them on top of systems enabled by digital workers.
Through lessons enforced by the pandemic about insufficient or overworked employees, digital workers could very well be what public sector needs as the complex organisations within it move forward. After all, the ability to deliver modern services and provide a sense of solace and reassurance to the citizens using them which is the ultimate marker of public sector success.
Resilient technology is the most important factor for successful online banking services
Source: Finance Derivative
By James McCarthy, Director of Solutions Engineering, NS1
More than 90 percent of people in the UK use online banking, according to Statista and of these, over a quarter have opened an account with a digital-only bank. It makes sense. Digital services, along with security, are critical features that consumers now expect from their banks as a way to support their busy on-the-go lifestyles.
The frequency of cash transactions is dropping as contactless and card payments rise and the key to this is convenience. It is faster and easier for customers to use digitally-enabled services than traditional over-the-counter facilities, cheques, and cash. The Covid pandemic, which encouraged people to abandon cash, only accelerated a trend that was already picking up speed in the UK.
But as bank branches close—4865 by April of 2022 and a further 226 scheduled to close by the end of the year, Which research found—banks are under pressure to ensure their online and mobile services are always available. Not only does this keep customers satisfied and loyal, but it is also vital for compliance and regulatory purposes.
These incidents do not go unnoticed. Customers are quick to amplify their criticism on social media, drawing negative attention for the bank involved, and eroding not just consumer trust, but the trust of other stakeholders in the business. Trading banks leave themselves open to significant losses in transactions if their systems go down due to an outage, even for a few seconds.
There are a multitude of reasons for banking services to fail. The majority of internet-based banking outages occur because the bank’s own internal systems fail. This can be as a result of transferring customer data from legacy platforms which might involve switching off parts of the network. It can also be because they rely on cloud providers to deliver their services and the provider experiences an outage. The Bank of England has said that a quarter of major banks and a third of payment activity is hosted on the public cloud.
There are, however, steps that banks and other financial institutions can take to prevent outages and ensure as close to 100% uptime as possible for banking services.
Building resiliency strategies
If we assume that outages are inevitable, which all banks should, the best solution to managing risk is to embrace infrastructure resiliency strategies. One method is to adopt a multi-cloud and multi-CDN (content delivery platform) approach, which means utilising services from a variety of providers. This will ensure that if one fails, another one can be deployed, eliminating the single point-of-failure that renders systems and services out of action. If the financial institution uses a secondary provider—such as when international banking services are being provided across multiple locations—the agreement must include an assurance that the bank’s applications will operate if the primary provider goes down.
This process of building resiliency in layers, is further strengthened if banks have observability of application delivery performance, and it is beneficial for them to invest in tools that allow them to quickly transfer from one cloud service provider or CDN if it fails to perform against expectations.
Automating against human error
Banks that are further down the digital transformation route should consider the impact of human error on outage incidents and opt for network automation. This will enable systems to communicate seamlessly, giving banks operational agility and stability across the entire IT environment. They can start with a single network source of truth, which allows automation tools to gather all the data they need to optimise resource usage and puts banks in full control of their networks. In addition it will signal to regulators that the bank is taking its provisioning of infrastructure very seriously.
Despite evidence to the contrary, downtime in banking should never be acceptable, and IT teams can make use of specialist tools that allow them to dynamically steer their online traffic more easily. It is not unusual for a DNS failure (domain name system) to be the root cause of an outage, given its importance in the tech stack, so putting in place a secondary DNS network, or multiple DNS systems with separate infrastructures will allow for rerouting of traffic. Teams will then have the power to establish steering policies and change capacity thresholds, so that an influx of activity, or a resource failure, will not affect the smooth-running of their online services. If they utilise monitoring and observability features, they will have the data they need to make decisions based on the real time experiences of end users and identify repeated issues that can be rectified.
Banks are some way into their transformation journeys, and building reputations based on the digital services that they offer. It is essential that they deploy resilient technology that allows them to scale and deliver, regardless of whether the cloud providers they use experience outages, or an internal human error is made, or the online demands of customers suddenly and simultaneously peak. Modern technology will not only speed up the services they provide, but it will also arm them with the resilience they need to compare favourably in the competition stakes.
Solving the Future of Decarbonisation in Real-Time
Source: Finance Derivative
Jamil Ahmed, Distinguished Engineer at Solace
The energy sector has faced many disruptions and challenges in recent years, from pipeline disruption to the growing demand for hydrogen. However, the most significant of all of these is the global desire to decarbonise. The growing concern over fossil fuels has created intense pressure for businesses to transition towards renewable energy sources and cut carbon emissions. Governing bodies have begun to impose regulations on organisations to force them to cut emissions by 3.4 gigatons of carbon dioxide equivalent (GtCO2e) a year by 2050, which amounts to a 90 per cent reduction in current emissions.
The constant development of markets and digital transformations will only increase the demand for energy in the future across all industries. Therefore, reducing emissions, in reality, is no small feat, however harsh or impressive the targets may be. To make decarbonisation a reality in the near term, businesses must adopt an inward-looking strategy to reduce emissions through their own operations. These are termed Scope 1 emissions and refer to emissions released as a direct result of one’s own current operations. Achieving this requires companies to streamline their operations, and improve their internal visibility to measure and track energy consumption.
The major challenge companies face in accurately measuring their energy consumption lies in overcoming the mass amounts of siloed data within their system. These data silos not only diminish productivity but also bury these useful insights, compiled into a mountain of data that is hard to identify and analyse. Ultimately, data silos are a result of organisational infrastructure built for a previous era, one with limited technological adoption, and limited pathways for dataflows. Over time these have created complex organisational barriers.
The lack of data transparency in organisational infrastructure is severely undermining businesses’ ability to gain insight from their existing data. This also impacts their ability to share data with external partners in search of meaningful solutions for decarbonisation. The value of data sharing cannot be overstated when searching for innovative solutions. A recent study shows that 45% of businesses in the energy sector see analytics and innovation as critical tools. With the entire energy sector’s ability to effectively decarbonise hinging on data sharing to drive innovation, gaining greater data insights are non-compensatory.
Another major consideration in decarbonisation is power reliability planning when transitioning to renewable energy sources. Solar and wind energy rely on changeable weather factors for operability, the varying levels of power readiness in these energy sources make them difficult to implement into the national grid. This makes reliably planning this an increasingly complex and important part of the decarbonisation journey as the sector must test for long-term stability and the potential for energy transfers and storage. A solution must be found that can address these real-time concerns.
Reliability in Real-time
Real-time data is the information that is delivered immediately after collation and enables businesses to respond to information at lightning speed. Real-time data has a host of usages in the energy sector, from alerting major weather changes that may impact power reliability to detecting overheating or electrical wastage in appliances. These information transfers are known as an ‘event’ that requires further action or response.
Real-time capabilities play a major role in overcoming data transparency issues associated with the sector, in its ability to connect interactions across systems and processes could enable energy providers to effectively identify opportunities in reducing energy wastage.
Enter event-driven architecture (EDA), the structure that underpins an organisation’s ability to view event series that occur in their system. EDA decouples the events from the system so that they can be processed and then sent in real-time as a useful information resource. This can then be analysed by resource companies to assist with optimising decarbonisation initiatives.
The strength of EDA is its scalable integration platform, as this allows companies to manage enormous quantities of data traffic coming from multiple data streams and energy sources. From this, energy companies can develop durable systems by aggregating information. This can then be sent to control systems to identify power outages or extreme weather events and conditions.
To achieve this, an architectural layer known as an event mesh is required. An event mesh enables EDA to break down data silos and facilitate the real-time integration of people, processes and systems across geographical boundaries. Implementing an event mesh also upgrades and streamlines existing systems/processes to enable better data transparency in real-time data sharing. It is unsurprising that given the great benefits of EDA both in terms of its scalability, durability and agility that a recent study found 85% of organisations surveyed view EDA as a critical component of their digital transformation efforts.
Decarbonising for the future
Regulations on the energy sector are rapidly increasing, most recently the US Senate passed the Inflation Reduction Act (IRA) on August 6th of this year. This Act signals the intense pressure on the energy sector to immediately undertake significant decarbonisation initiatives. It is designed to accelerate the production of greener and more renewable energy sources such as wind and solar. Once nations like the US have begun higher production of the technology that can harness these energy sources, others will follow suit. The only way the large-scale adoption of renewable energy sources will occur is if businesses build real-time capabilities to become event-driven businesses. Only then can the transition to decarbonisation and achieving net zero become a reality.
Know Your Business (KYB): Exceeding KYC
Source: Finance Derivative
Victor Fredung, CEO at Shufti Pro
Money laundering costs the UK more than £100 billion pounds a year, according to the National Crime Agency, emphasising the need for stringent ID verification of individuals and businesses.
ID verification, however, remains a moving target. The UK’s fraud prevention community CIFAS has warned of surging ID theft. The National Fraud Database increased by 11% in the first six months of 2021, with almost 180,000 instances of fraudulent conduct filed in the first six months of the year. This reflected the aftermath of the 2008 financial crisis, which recorded a 32% increase in identity fraud the following year. CIFAS is warning UK businesses and consumers to expect a continuation of the steep rise in identity fraud for 2021 and 2022 as criminals exploit businesses under pressure.
Businesses can respond with resilient Know Your Customer (KYC) software and protocols. KYC establishes customer identity; understands customers’ activities; qualifies the legitimacy of funding sources; and assesses money laundering risks associated with customers. To date, almost 6,000 financial institutions are using the SWIFT KYC Registry to publish their KYC data and receive data from their correspondent banks.
KYC regulations and procedures are appropriate when the customer or consumer is a named individual. However, it’s not enough to verify the identity of individuals. It is also important to verify the identity of businesses. Know Your Business (KYB) tools and regulations are designed for cases where the customer is a business or corporate entity. KYB is particularly important as criminals seek to exploit crypto currencies which can thwart verification techniques, such as anti-money laundering (AML) and KYC.
KYB verifies businesses by obtaining official commercial register data via APIs. By using the registration numbers and jurisdiction code of a business, a digital KYB service can collect confirmable information for the business. This enables corporate organisations to determine if they are dealing with authentic businesses or fake shell companies. KYB services particularly help financial institutions handling the funds of a large customer base and corporate entities. During this process businesses must improve the customer digital enrolment and authentication experience. End-users resist proving their identity through for example, showing scans of their bank account statements and may abandon service providers whose online enrolment processes increase friction.
Usefully, KYB uses access to automated commercial registers through a data-powered business verification service, expedites due diligence and eliminates errors. With advances in digital technologies and virtual data sets, KYB compliance and verification tools can mark businesses involved in undercover activities, gathering background data on the company including the registered address, status, company type, ultimate beneficial ownership structures, previous names and trademark registration. A financial summary of the company’s operational accounts is also provided by the authentication service, to help validate its authenticity.
Here, Artificial Intelligence (AI) can come into its own, determining the identity of individuals and the financial risk attached to that person with AML Compliance solutions. AML services can check the involvement of an individual company in any watchlist or financial risk database, at scale. Machine learning algorithms can detect forged documents or disguised ownership structures. Nationality verification and geolocation targeting can determine the true country of origin of international clients and the jurisdiction of the company.
However, adoption of KYB processes has been sluggish: last year research undertaken by kompany indicated only 5% of financial institutions (FIs) have an automated B2B or corporate banking onboarding process, with 75% of FIs still relying on Google searches to identify Ultimate Beneficial Owners (UBOs), annual filings and financial accounts. Financial services organisations also struggle to manage the complexity of KYB, and the siloed approach to managing information within an FI can make KYB adoption more challenging.
A further challenge for KYB compliance lies in accessing beneficial ownership information, especially in jurisdictions that do not require companies to submit relevant documentation. A lack of shareholder information makes it harder to investigate money trails and business authenticity. Timely availability of data, across international borders in the right format, is another hindrance, especially as company structures and management change over time. This is why geography and industry specific vendors will be of value to businesses needing to conduct ID checks. It is also why businesses must find the right vendors who can be a one stop shop to manage their KYB adoption and must prioritise the user-experience for frictionless onboarding and regulatory compliance.
Banks have experienced difficulties with KYC verification for their customer onboarding, transaction authentication, and remote banking services. This why they may find it hard to trust a KYB service provider. However, FIs and businesses face a pressing need to determine the ultimate beneficial ownership structure of the corporations they are dealing with. The need for a credible, cross-border KYB provider has rarely been more pressing, and according to Forrester, Know-your-business IDV will ‘make or break Identity Verification players.
Know-your-business IDV can make critical difference in identity verification. With the increase in B2B commerce it has become more urgent to verify both individuals and organisations and their representatives.
The cost of not adopting KYB technology is dwarfed by the prospect of data breaches, fraud and reputational damage. For financial institutions, legitimacy and verification of the business is key for growth. The software solutions exist and are ready to be implemented. he National Fraud Database increased by 11% in the first six months of 2021, with almost 180,000 instances of fraudulent conduct filed in the first six months of the year. This reflected the aftermath of the 2008 financial crisis, which recorded a 32% increase in identity fraud the following year. CIFAS is warning UK businesses and consumers to expect a continuation of the steep rise in identity fraud for 2021 and 2022 as criminals exploit businesses under pressure.
Here, Artificial Intelligence (AI) can come into its own, determining the identity of individuals and the financial risk attached to that person with AML Compliance solutions. AML services can check the involvement of an individual company in any watchlist or financial risk database, at scale. Machine learning algorithms can detect forged documents or disguised ownership structures. Nationality verification and geolocation targeting can determine the true country of origin of international clients and the off shore status of a company.
The cost of not adopting KYB technology is dwarfed by the prospect of data breaches, fraud and reputational damage. For financial institutions, legitimacy and verification of the business is key for growth. The software solutions exist and are ready to be implemented.