The European Union is set to invest USD$24 billion into artificial intelligence (AI) by 2020, seeking to catch up with Asia and the United States, which each currently invest more than three times that of Europe. Of the sectors that stand to benefit the most from a boost in AI development is healthcare-a sector becoming increasingly reliant upon what’s known as big data.
As regions like Asia, the EU, and North America invest more heavily in AI and cloud services to handle big data, the investments move downstream towards developers of innovative applications of healthcare-related big data. Companies both large and small are making their rounds, scooping up the confidence of doctors, drug companies, and hospitals alike, including Aetna Inc. (NYSE:AET), Allscripts Healthcare Solutions, Inc. (NASDAQ:MDRX), Computer Programs and Systems, Inc. (NASDAQ:CPSI), International Business Machines Corporation (NYSE:IBM), and Eyecarrot Innovations Corp. (TSX.V EYC) (OTC:EYCCF).
According a recent report from BIS Research, the global big data in healthcare market is set to reach $68.75 billion by 2025-growing at a rapid CAGR of 22.3% between 2017-2025. The report came out prior to the EU’s $24 billion AI investment announcement; therefore, those expected healthcare-related numbers could even be higher.
Regionally speaking, North America is big data’s largest market in healthcare and is expected to reach $31.12 billion by 2025-with the United States carrying the lion’s share, with 91% of that North American spending coming from the country in 2017.
The market for healthcare data is opening up fast, with several new opportunities arising across many healthcare fields.
IBM, through its IBM Watson Health has been able to study, assess, and rank large healthcare systems. As well, the processing giant has recently secured a $10-million deal with Cincinatti based TriHealth to adopt a portion of IBM Watson Health Enterprise Imaging Portfolio.
But it’s not only in hospitals that patient data is being harnessed and monetized. For instance, the visionaries at Eyecarrot Innovations have developed their Binovi[TM] Cloud to generate data built to assist vision care providers, by tying together patients through a universal screening system that utilized mobile device, and a cloud Saas platform for eye care practitioners to perform necessary examinations. The research data obtained in the screening process could be invaluable to the profession, and to a large portion of the population dealing with ocular issues.
The emergence of cloud-based services and subscription models has significantly reduced the up-front investment and infrastructure development needed in order to manage big data. Thus, with significant investment and advancements to come in AI, an increased adoption rate of wearable devices, mHealth, and eHealth services could only further boost the amount of patient data available for research. Medical information as a whole is set to boom, and transform the healthcare sector as a whole.
BIG DATA GETTING BIGGER THROUGH HEALTHCARE
Big data refers to handling massive amounts of structured and unstructured data, helping organizations improve their decision-making processes, and research and development. In healthcare, that can refer to helping doctors make diagnoses based on similar groupings of patient demographics, drug developers scouring over test data, or medical institutions such as hospitals in maintaining or analyzing patient data.
Healthcare data alone is growing at a phenomenal pace, and is expected to surpass 2,314 exabytes by 2020. This growth is further spurred on by declining storage costs, and the emergence of organizational reliability on cloud-based services and subscription models.
Shazlie Khan, an analyst at BIS Research states, “The big data in healthcare market is going to be driven by an urgent need to control rising healthcare costs and to improve patient outcomes and resource management. Among components and services, analytics services contributed the lion’s share of $5.80 billion in 2017. Clinical analytics will be an investment priority for most of the hospitals due to regulatory requirements to make ‘meaningful use’ of healthcare data, the need to reduce medical errors, and to enhance population health management.”
BIG DATA IN HEALTHCARE DEVELOPMENTS
International Business Machines Corporation (NYSE: IBM)
IBM’s Watson Health division is making the processing giant become a household name in hospitals around the world. In particular, the recent announcement of the deal with TriHealth will benefit the healthcare provider’s radiologists and clinicians, through creating a system to store and share image data and connecting it with the patient’s health record in the organization’s system.
Allscripts Healthcare Solutions, Inc. (NASDAQ: MDRX)
Allscripts subsidiary CarePort Health, which specializes in post-acute outcomes management recently began managing the Allscripts Care Management solution and services portfolio. The transition was brought about to accelerate innovation of the Care Management platform, which when joined with the CarePort platform now offers healthcare providers, payers, and ACOs visibility across all levels of care and transitions across the continuum. Care Management currently handles workflow for a built-in network of more than 20,000 providers.
Aetna Inc. (NYSE: AET)
Better known as a health benefits company, Aetna also provides data analytics services through its Health Care segment. However, with a potential $69 billion megamerger with CVS Health that could create a new company containing numerous healthcare businesses, Aetna is going to get even more exposure to big data. That is, if it’s not blocked by regulators.
Computer Programs and Systems, Inc. (NASDAQ: CPSI)
CPSI provides healthcare information technology solutions with its software systems that include patient management software enabling hospitals to identify a patient at various points in the healthcare delivery system. Its subsidiary, Evident, was recently declared the highest ranked inpatient HER vendor for hospitals under 100 beds, by Black Book Rankings.
Eyecarrot Innovations Corp. (TSX.V: EYC) (OTC: EYCCF)
Through its visual and neuro-cognitive processing products developed and commercialized for diagnosing and remediating visual perception disorders, Eyecarrot seems to have cornered a niche in the healthcare sector, through adoption by eye doctors. By tackling an issue that’s possibly afflicting 25% of the population, Eyecarrot has the potential to access a massive amount of data for the optometry market through its BinoviCloud[TM] cloud data platform.
EYEING BIG NICHE DATA
Armed with a proprietary, cost-effective screening too, Eyecarrot Innovations Corp. (TSX.V: EYC) (OTC: EYCCF) employs the latest advances in neuro-cognitive training to tackle the rising binocular vision dysfunction pandemic.
It’s been estimated that binocular vision dysfunction effects approximately 1 in 4 humans on the planet. Eyecarrot’s platforms tackle screening and rehabilitating these physical deficiencies that impact patients on a daily basis. However, even the remaining 3 out of 4 eye doctor patients could also use Eyecarrot’s Binovi mechanism to reach higher levels of ocular performance.
Where big data comes in, is how Eyecarrot’s mobile app can measure a user’s daily personal performance. From that usage, data is aggregated in a way that’s not only relevant to the user, but to their healthcare providers, and possibly to researchers who are seeking to advance eye care for the demographics of the user. Big data for eye patients is unique, compared to that for hospitals and pharmacies. Eyecarrot can give the user standardized data on their visual neuro-cognitive performance, and from there it’ll be in their hands to decide what to do with it. Meanwhile, all end users are contributing to the private (read: anonymous) global database.
The company currently generates revenue from its acquisition of Wayne Engineering. However, as more vision care specialists make their patients aware of this pandemic, Eyecarrot believes their products will have a positive effect on hundreds of millions of people. As a goal, the company has posited whether they can generate even $1/year on every one of those people they have using their product-Given that Facebook currently derives approximately $10-15/year on their global userbase, Eyecarrot pulling back a fraction of that for a beneficial therapy comes across as a conservative estimate.
Given that many of the products are accessible through smartphones, which are in the hands of billions of people on the planet, Eyecarrot believes it has a very wide market to strive for. With one in four people in the world having visual performance challenges, many of which can be addressed through therapy such as Binovi, Eyecarrot appears to have found a niche that could benefit greatly from the enhanced interest in AI and big data, coming from places like Europe, Asia, and North America.
For a more in-depth look into Eyecarrot Innovations Corp., visit the company’s website at https://www.eyecarrot.com
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Time for financial institutions to Take Back Control of market data costs
By Yann Bloch, Vice President of Product Management at NeoXam
Brexit may well be just around the corner, but it is market data spending that financial institutions are more interested in taking back control of right now. In fact, other than regulatory equivalence post the transition period, it is hard to think of a more prominent issue right now than the rising cost of market data. According to analysis at the end of last year by Burton Taylor, global spend on market data topped $30 billion in 2019. With costs showing very little sign in coming down, at least in the short to medium term, now has to be the time for market participants to better grasp of not only what their costs could be at the end of the month, but also the precise areas of business consuming the most data.
The problem has been, and still is, seeking out those month-on-month cost anomalies. For example, why is it that fixed income and FX derivatives costs have all of a sudden doubled compared to the previous month? The trouble is it is nigh on impossible to get accurate answers to questions like this because the vast majority of investment firms have no fullproof way of analysing how spending evolves over time. In certain cases, financial instructions can experience a 10%+ increase on their monthly market data vendor bills.
It is not hard to see why – as every small incremental cost mounts up fast. First there are the direct costs for one or more sets of data – which leads to billing getting far more complex. Sure, a market data vendor may be adding lots of different add-on services to help clients save money, but at the same time, they will also be adding on more costs. If this was not enough, there are also the indirect costs around data governance and regulatory compliance. New rules, such as the Fundamental Review of the Trading Book (FRTB), means that investment banks will have no choice but to consume a lot more data to be able to run models and back testing.
All this begs the question; how exactly can firms gain more control of their market data spending? A good place to start is trying to reduce waste. This involves firms making sure they do not request new sources of data from their vendors that they are not going to use. If data vendors charge for every single piece of data that the client requests, then the client needs to make sure they are going to act on this information. Then there is the recycling of the data. Say an investment fund needed a new piece of data instantly, and also needed that same piece of data at the end of the day. If the fund manager already has the data, they surely, they do not need to request it again? It is all about being smarter about reusing whatever data the fund manager has received previously. After all, different trading desks are all consuming data and requesting information through the data management team, but it is hard for the trader acting on the data to work out how much the data actually costs. This is why being able to allocate these costs to the different trading desks is key.
When all is said and done, the only way financial institutions can harbour any hopes of overcoming this longstanding data cost problem is by deriving more insights to ensure they a squeezing every last drop of value from their market data. Technological advancements mean that firms can now keep right on top of not just their data direct costs, like complex billing, but also the indirect costs around regulation. With so many other cost pressures across the business right now, it is time financial institutions take advantage of new technologies to finally address the issue of rising market data costs that has, frankly, plagued the industry for too long now.
Cash was our past, contactless is our present, contextual payments are the future
By Jason Jeffreys, founder of FETCH
$6tn in the next five years, this is how much the world will spend through contactless payments, according to analyst firm Juniper Research. For many of us who have discovered and since relied heavily on contactless payments since its introduction in 2007, either through card, phone, or watch, or those of us who have taken a stroll down a covid-era high-street to see shop windows adorned with “card payment only” signs, this is hardly a surprise. Even the Church of England in 2018 equipped 16,000 religious sites with terminals to allow for contactless donations. So what is behind this rise? And what is next?
The switch from cash to contactless is a transformation of payments that is driven by four key factors: speed, security, accessibility, and hygiene. While businesses and customers alike have felt the immense benefits of the cash to contactless transition, the next iteration goes further by digitally transforming the entire transaction process. It’s that potential which pushed me to launch FETCH – technology that allows customers to order and pay from their phone, anywhere. By exploring the benefits already felt by our contactless present, I hope to show you why I’m excited to be part of the contextual payments future.
Aldi is all about low prices and this is achieved with efficiency – that is why their checkout staff are trained to scan as fast as possible, it’s why their barcodes are huge, and it’s why you can’t keep up. It’s all in the name of efficiency and cost saving, and contactless payments make this possible.
While increasing the rate of transactions has a direct impact on money through the till, there is an increase in the perceived speed which does wonders to get customers back through the door. Shoppers may have spent an hour or more in-store but their direct interactions with the shop and staff were quick and timely and that’s the experience they remember and the impression they build of the brand.
Aldi are not alone in realising this and while it is easy to point to the impact that contactless has had on the retail sector, its revolution has slowly crept into hospitality – an industry notoriously late at adopting new technologies.
High-street coffee shops rely on getting as many people as possible through the doors and back out again. They want as little disruption to your day as possible but more importantly, they want to process as many payments per hour as possible. Cash transactions are slow in comparison to a single tap, so for the coffee shops, this means fewer transactions per hour and money lost. For businesses in this sector who rely on periodic rushes, measuring performance per hour is a necessity and maximising revenue over these short windows is so important.
For reasons obvious to anyone who has been to a crowded hospitality venue, stood at a crowded bar or waited for waiting staff during a busy dinner rush, the businesses in this space already running on contextual ordering systems like FETCH have all reported a vastly improved staff and customer experience in hospitality venues. While it may be difficult to spot how these benefits can be felt in retail, this reality is not bound to fiction or the distant future – it’s being pioneered already in retail by Amazon.
In a well documented glimpse into the future of shopping, Amazon’s latest Seattle store removes the transaction element completely. Instead, you put your items in your trolley as you go round the shop, and the sensors and cameras accurately and automatically recognise the items, keeping a track and total, before taking payment automatically and digitally through your Amazon account once you walk the trolley back out of the store. Can you imagine standing in a supermarket queue to pay once you’ve experienced the ease, simplicity and effortlessness of that?
Smartphones have got smarter and they have revolutionised the way we get through the day. From how we discover, connect, and socialise, to how we organise, learn, navigate and search for answers – rarely an hour goes by where we aren’t using our phones for something.
As time moved on they only grew to become more capable, responsible for managing more aspects of our lives, and it was only a matter of time before they were capable of handling secure contactless payments. The leap for people to trust their smartphones with just one additional task was tiny.
When you couple this with debit and credit cards being enabled with contactless technology by default, the rise of wearables, and e-commerce growing massively, the results are clear – people are more trusting of online payments, are more familiar with buying in this way, and have more ways of making contactless purchases, than ever before.
In fact, a Mastercard survey in 2016 indicated that Brits carry less than £5 in cash on average, with 14% of people surveyed carrying no cash at all, and 1 in 10 replacing wallets and purses altogether, opting for a simple card in the pocket instead. Figures which have no doubt grown even starker since 2016.
When we take this into consideration with 99% of 16-24 year olds, 98% of 25-34 year olds, and 95% of 35-54 year olds all being smartphone owners, we begin to see the inevitability of contextual payments as the next iteration and how the response to contextual payments will be positive and welcome; something FETCH clients and the vast majority of their customers can all attest to.
Cashless payments means no cash in the till or on-site; no chance of mistakenly accepting fraudulent notes or coins; no trips to the bank to deposit or withdraw cash for the till; the end of time spent counting money every day, and the end of discrepancies which occur from this.
It limits the levels of theft, switches businesses over to an accurate, secure and efficient system, and gives business owners their time back. It makes tax returns, financial planning and forecasting and more all possible, easier and quicker and in short, it makes businesses stronger.
Contextual payments go further by offering really insightful data of what happens before and after people decide to part with their money; for example, how long they spend browsing before ordering, what they look at, what they’ve missed, when they order next and more. This means you are informed and can redesign and improve the user journey so it works better for you and your customers, all based on accurate, relevant and timely data.
As contactless payments evolve to contextual ordering, it’s important to choose a system that easily integrates with the wider business and your systems so you can continue to access the benefits of contactless. That’s why from day 1 of building FETCH I put so much emphasis on ensuring it integrates with one of the biggest and most popular POS systems in hospitality.
Initial adoption has long been the biggest barrier to widespread, sustained use of new technologies and going cash-free is no exception.
Given that the coronavirus thrives and passes through human contact and shared surfaces, going cash-free and contactless was a small, easy and obvious change to implement for businesses to become covid-secure and safer for customers and staff.
FETCH and other contextual payment systems are being used to go beyond this, to keep staff and visitors safe by limiting human contact beyond just payments. In our case, we have allowed hospitality customers to continue to browse, place their orders and pay, just as before, but without the need for repeated human contact at every single stage.
Given the health imperative and coercion from governments, local authorities and health bodies to switch to contact-free operations, businesses who may have once been years away from this change are laying down the infrastructure today out of necessity and it will be no surprise if contactless becomes a staple long after the coronavirus has left.
Post-coronavirus, contextual ordering offers businesses the chance to let the technology take care of these minor tasks, giving staff the space to instead dedicate their time, talent and energy towards elevating the overall experience. It’s the health imperative that acts as the gateway to this.
What does this transition mean for businesses? With visible consideration and effort put into hygiene, you are making your customers feel safe and cared for; by making transactions quick and painfree, you are giving your customers time to spend on the experience they came out for in the first place. In the process, you have created the ideal conditions for consumers to spend money and given them the confidence to do so.
I’ll end with the picture UK Finance data has painted through multiple annual payments reports: in 2006, 62% of all payments in the UK were made using cash; three years later it dropped to 58%; in 2016 the proportion had fallen to 40%; and just two years after that, cash formed just 28% of all UK payments. With a pre-covid prediction envisaging that by 2028 fewer than 1 in 10 payments will be made by cash, the widespread, covid-induced encouragement, adoption and enforcement of cashless policies in retail and hospitality has surely brought that many years forward.
Contextual ordering is the next inevitable iteration and if you were one of the few who reaped the benefits of going contactless early, you have the chance to be ahead of the curve once more. A welcome future for a multitude of industries is being set around us today.
The Rise of Contactless Payments
By Bilal Soylu, CEO of XcooBee
Today, banks involved in the issuances of credit cards, and companies at the nexus of merchant services, are experiencing a rare event in the industry.
For years, digital payment innovators fought a hard battle to adopt contactless systems and create standards. The effort and push came from companies with much of the effort directed at consumers to adopt their methodology. Whether it is Samsung Pay, Google Pay or Apple Pay they all had to overcome similar hurdles – consumers were reluctant to adopt a technology that did not have a sufficient number of merchants; thus, the progress was slow.
The COVID-19 pandemic rewrote the script in a whirlwind. All of a sudden, consumers began to demand contactless payment experiences in every way imaginable. The supply side push has turned into a demand side pull and the adoption rate is spiking.
This left banks, originators and companies involved in the eco-system with an interesting dilemma – fast decisions have to be made as to which digital technology to invest in and do they bind themselves, for multiple years going forward, to a specific infrastructure.
While previously the belief was that this could be explored over a longer period of time, the current reality is that these decisions are forced on institutions “overnight”. In this light, there are many different aspects to contactless payments and originators, and banks need to make smart bets on which type should be supported.
So, let’s look at all the relevant elements of contactless payments to explore a better model for institutional support.
General Drivers of Contactless Acceptance Growths
Physical safety from virus infection by avoiding touching 3rd party equipment or allowing safe distancing from other people and/or equipment is the main driver today. It has been emphasized by many epidemiologists as a basic requirement for conducting business. Consequently, it will be no surprise that safety is the factor that underlies the rapid adoption of a number of contactless payment technologies by once reluctant consumers.
We expect this to be a primary driver well into 2021. Thus, any technology to be rolled out in the short term should enhance safety in some form or contribute in a way to the improvement of safety.
An early benefit highlighted and emphasized by contactless technology providers was the data-security aspect that surrounds the transaction. Rather than exchanging the actual credit card number, for example, a tokenization is performed to create transaction specific tokens that are then used to complete the transaction. Even when intercepted, these tokens cannot be used outside this transaction and, thus, the approach is considered to be more secure.
Although the data-security value was incessantly marketed to consumers, most had, and still have, a limited understanding of the implementation of the technology. Thus, the appeal to the consumer with this benefit was not successful. However, the increased security elements were a clearer benefit for merchants and issuers. Hence, a steady growth of terminals and accepting merchants was the result.
In general, the tokenization approach to security has been chosen for many types of contactless payment systems, this includes NFC based card chips, digital payments like Apple Pay, Google Pay or Samsung Pay. However, for QR payments the use of tokenization should be verified as there are no current standards that govern its use consistently.
Convenience was the aspect of many contactless payments system that appealed the most to consumers prior to Covid-19. The ability to either very quickly conduct a transaction or very flexibly conduct a transaction drove consumer adoption. For example, being able to load many payment methods onto a mobile device that users carry with them anywhere increased the appeal of use to consumers.
Thus, when evaluating a particular contactless payment technology with a longer-term outlook the convenience aspect should be emphasized. Given the historical basis, consumers are very likely to be attracted by this aspect as the main driver of adoption again. A financial institutions’ post-Covid planning and investment models for contactless technology should consider this to be a major aspect.
Contactless Payment Categories
When we speak of contactless payment systems, we normally refer to any payment technology that can trigger a payment transaction in the physical space with direct consumer presence, but without direct contact with merchant equipment. Thus, we would exclude online and ecommerce transactions for this purpose.
We will focus on the two mainstream contactless technologies, NFC and QR payments, and review them here. Other contactless payment technologies exist but have not reached widespread adoption so we will only provide brief overview of those.
Near Field Communication (NFC) payments are the earliest form of contactless payments that found acceptance in the markets. Generally, two devices are needed and must be near each other to communicate via radio signals. Both the reader (interrogator) and sender (tag) must be within 4cm (1.5in) for the transaction to be initiated. ExxonMobile’s Speedpass is widely believed to be the first implementation of this touch and go type of pay experience that has come to exemplify NFC based contactless payments.
There are two common sub-categories from that technology today; The single card-based sender (tag) and the mobile-phone-based sender (tag). The mobile phone-based application tends to be more flexible allowing consumers to combine multiple cards into one mobile-wallet that is secured with some form with biometric access.
However, NFC signals are not uniform and different standards are used in the Far East (i.e. Japan) rather than in Europe.
NFC payments found early success in developed western markets where the population already had easy access to banking and bank issued card-based tags. However, in countries where the banking system developed later and card-based payments were not common, NFC payments did not flourish.
Thus, today, the market for NFC is mainly concentrated in Europe, Japan, and US.
The roll out of NFC requires hardware on the merchant and consumer side. The merchant hardware is normally leased, and leasing programs have been steady revenue generators for those companies. Whereas, today, the global contactless Point of Sale (POS) terminals market is poised to grow by $5.54 bn during 2020-2024, progressing at a CAGR of 16% during the forecast period, according to research done by Technavio.
However, with the pandemic, the speed of system activation has been a key criterium for selection of the technology. In this context, delivery of hardware, setting up of POS systems and testing connectivity slows down rollouts and potential revenue.
Similarly, requiring consumers to be equipped with supporting hardware may also introduce a friction element, especially in markets where NFC has gained less momentum.
QR codes are like 3D barcodes. The user scans the QR code via a smartphone and the smartphone, then interprets the barcode and a related website or application may complete the payment process. Like NFC, this can be done very quickly without any contact between smartphone (reader) and the item or display using the QR code.
Normally, QR codes are immutable, meaning that once generated they do not change. However, there are now dynamic smart QR codes, like the ones Xcoobee offers, that can overcome this limitation.
QR codes found strong distribution in markets where banking reach was limited in some form through government or market forces. The QR payment process, in many markets, also exemplifies a jump to direct digital payment, bypassing much of the banking system for purchase transactions. Especially when QR payment systems are connected to mobile wallets the provider of the wallet handles all transaction steps in-system, reducing friction and creating an ease to use and adoption. They have found popularity mainly in China, where AliPay and WeChat pay are gaining dominant market shares.
However, with the advent of COVID and the speed advantages in implementation and cost, other non-traditional markets such as EU and US are seeing dramatic increases in use of QR payments as well.
Activation of QR code payments commonly requires merchants to simply print codes, which can be accomplished with less hardware. The integration into bank systems is handled via merchant or bank app and the consumer simply requires a smartphone.
While bank offerings in this segment tend to be limited, given the simplified requirements, QR implementation can be quick for merchants to roll out.
Other Contactless Options
There are other contactless payment technologies that are currently competing for market attention and can be grouped into a biometric group and a technology group. The biometric group includes such options as voice, facial or palm recognition-based payments while the technology group includes options like Bluetooth and Farfield-type technologies.
None of these have gained sufficient market share or have execution or security advantages that would push them ahead without concerted efforts from large market-players. Similarly, there is no consumer advantage that would drive a consumer demand-based distribution for these technologies.
NFC vs QR
Which one should you choose to support? Each one of these contactless payment methodologies has advantages and disadvantages. NFC can be nominally faster to use for consumers and more lucrative for banks, but QR codes currently reach a wider market since more phones can read them than those that can read NFC tags.
Operational simplicity and speed also favor QR code activation, but if there is already and existing NFC infrastructure this may become a secondary consideration.
Simply speaking, we are living through unprecedented times, consumers are demanding contactless payment and creating a demand side wave in exchange for safety. How each institution answers this call best will depend on circumstances and context.
Overall, it may be advisable to hedge bets and support both methodologies and offer services based on both. Evaluate customer input, and then, adopt and activate the best option for your financial institution.
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