By Sunil Dixit, VP of Product, Adyen
There are some big changes in store in 2020, some obvious, some less so. In the payments landscape, it’s all about user convenience and customer experience, whether that’s through increased security for card users, or new ways to pay. Fragmented payments systems and services, from online to in-store, will move towards a unified centralised payment stack. We think there are a few trends to watch in 2020.
Ecommerce is continuing to expand and it’s supporting the rise of the subscription economy and innovative platform business models. With more sensitive card data than ever being shared to complete payment at the checkout, protective steps must be taken to secure this information by all parties. To combat the rise in fraud, tokenisation will become an increasingly common way to protect payment details. In the first half of the year 140,344 fraud attacks were recorded by RSA’s Fraud and Risk Intelligence (FRI) team. That represents 32 attacks every hour and is an increase from 86,344 in the last six months of 2018. So, what is tokenisation, and how can it help?
Tokenisation is used to safeguard a card’s payment card number (PAN) by replacing it with a worthless, unique string of numbers – a token. Payment tokens are generated per card, per merchant. This means that the customer’s sensitive PAN is substituted by a token and not transmitted during the transaction, making the payment more secure. The beauty of network tokenisation is that it helps protect businesses and customers from the financial hits of data theft. Even if hackers manage to steal tokenised data, they cannot use the stolen tokens to pay online since they are unable to link the token to payment information stored securely by the payment partner. Furthermore, network tokens are always up-to-date. If your payment card changes after a loss or theft, the token can still be used to pay, ensuring you can continue to enjoy streaming services without disruption.
Strong Customer Authentication (SCA)
The implementation of the second Payment Services Directive (PSD2) will continue to roll out across Europe in the new year, with certain transactions requiring authentication for purchase. 3DS 2.0 uses the full capabilities of mobile devices to create a more secure way to identify the customer, without adding friction to their checkout experience.
Some banks are expected to launch SCA in a gradual fashion over the course of 2020, with others not going live until the end of this year. This is due to the European Banking Authority announcing a delay in the deadline of PSD2 enforcement to 31st Dec 2020. There is still a lot of ambiguity for merchants looking to ensure they are able to support the new directive. With the possibility of EU regulators enforcing PSD2 at different times, businesses will need technology that can dynamically apply SCA to ensure payments aren’t declined due to SCA not being active.
Biometrics take centre stage
2019 saw the first biometric fingerprint credit card issued by a UK bank – expect 2020 to see more of this kind of payment innovation. With smartphones unlocking themselves through facial recognition and fingerprint scanning, biometric security is already ingrained into most of our lives. As payment providers look to increase security, both in response to PSD2 regulations and the increasing sophistication of fraud tactics, biometrics data is going to become an incredibly important tool for purchases. Beyond the UK and Europe, Australian and Brazilian banks are getting on board with 3DS 2.0, ahead of the decommissioning of 3DS 1.0 over the coming years.
Transactions through 3D Secure 2 already incorporate biometric authentication such as fingerprint and voice recognition or facial scans into the process. Even better, 3DS 2.0 can use data collected in checkout to authenticate a transaction without intervention from the customer. This creates an improved customer experience for mobile transactions that require strong authentication.
Expect to see your personal features becoming a more secure way to pay as banks and merchants look to step up their fight against fraudsters.
The payments landscape moves fast to support on-the-go customers carrying smart mobile devices. Self-service kiosks in quick service restaurants, endless aisle inventory in retail, apps that can be a hotel key card as well as a mode of booking and paying for an overnight stay. All these experiences offer exciting possibilities for improving customers’ lives and provide unprecedented levels of data and insights for businesses. Make sure your payments stack is ready for 2020 to deliver the experiences your customers deserve.
RISK VS REWARD: IS AI TAKING OVER?
Xavier Fernandes, Analytics Director at Metapraxis
A study by Oxford University academics into “The Future of Employment” in 2013 prompted apocalyptic headlines which stated that in the future 40% of jobs will be automated thanks to advancing technology.
The researchers subsequently claimed that the truth was in fact a little more prosaic; rather than facing complete automation, the research found that 40% of jobs faced some aspect of automation in their activity. So with new ‘AI processes a likely reality for almost half us, what does that mean for our current roles and should we be worried?
The fourth revolution?
The first industrial revolution saw machines replacing muscle, both human and animal. The second and third saw electrical power, mass production and computerisation revolutionise the job market. Now, with daily headlines of AI as an employment superpower, there is some concern that AI is bringing a fourth revolution, and with it, unknown circumstances.
This ‘fourth industrial revolution’ is defined by replacing brain power with machines. Our thinking capacity is what inherently sets us apart from other species, so it’s not surprising that any encroachment on it triggers some existential angst.
Evolve to reap the rewards
While many businesses still don’t fully understand the capabilities of AI, those who fear its development are, instead of embracing it, missing all the benefits that it can bring to the workplace. Businesses that utilise AI appropriately are seeing vast improvements across their entire value chain; better customer experience, reduced costs, and more insightful analysis to support management decisions.
AI is particularly useful for supporting tasks with repetitive activity, for example, performing financial checks and assessing large sets of data within financial services firms. AI performs particularly well within this context, spotting outliers before a human expert would notice them, allowing impending problems to be flagged and avoiding costly mistakes.
There is also an increasing focus on maximising customer lifetime value through the use of AI. Being able to predict existing customers’ needs as well as track trends in their financial circumstances is supercharging the old cross-selling approach with testable, predictable outcomes.
With potential benefits like these on offer, management teams of innovative financial services are increasingly relying on AI to help them with some of the heavy-lifting of analysis. Using advanced data capabilities and learned behaviours, AI analyses market trends to provide predictions of future performance. This insight is invaluable and allows management teams to change direction and correct any problems accordingly. This offers a huge advantage over those that have not adopted such tools.
Supporting the workplace
Algorithms and AI are typically ‘smart’ at doing one, tightly-constrained task, but they can be less helpful with many of the activities that humans find straightforward. In most white-collar jobs, automation tends to replace certain tasks in the job, rather than the role in its entirety, as the need for human intelligence is still highly necessary. In particular, we still need human input to first challenge, and then synthesise, this information before taking action. Employees should therefore work with the business to proactively identify what areas of their role could be automated, so that they can focus on the areas that add real value to the business’ commercial goals.
Challenging AI is certainly still important. We know that algorithms can be much better than humans on certain, bounded tasks. However, many algorithms rely on existing data sets to build their understanding. As a result, when a business unit has ‘symptoms’ that fall outside of that body of knowledge, the algorithm may suggest the wrong course of action with costly results.
Indeed, even with plenty of data, algorithms will reflect any biases the data set contains. We’re seeing this with some legal sentencing algorithms where there is evidence that they are treating disadvantaged people more harshly. Getting the answers to why and how far we should trust our algorithms should therefore become an everyday part of any job affected by AI.
Rather than depending entirely on AI for all decisions, workers should be taking all these new, AI-generated insights and using them to complement the human decision-making process. No manager of a complex business ever has enough time to sieve through all the analysis available, but with AI driven algorithms able to flag up any issues and indicate where action needs to be taken, we may find that we have some AI ’colleagues’ who will cover our backs and suggest innovative options. Yes, there will be times when the algorithms get it wrong, but as long as we’re watching out for those, the future is bright.
HOW TECHNOLOGY IS FUTUREPROOFING STOCK MARKET TRADING
Tony Shaw, Executive Director, London Office and Head Sales UK & Ireland at the Swiss Stock Exchange
Markets are shifting, there’s no doubt. Amid all the disruption and volatility from the past year, the Swiss Stock Exchange asked traders about what they expected in 2020 and beyond in our industry survey. The findings point to a rise in digital to help traders content with external forces.
First and foremost, traders are enthusiastic about what digital assets can offer.
Two thirds of traders polled said they’d had a marked rise in interest from their clients for digital assets and crypto-products. Given the interest, traders are increasingly bullish about the potential of these products – so much so that 80% have predicted an increase in overall demand in the long term. Market users believe these assets will help generate cost synergies and streamlining trading and settlement processes by creating efficiencies and ultimately reducing costs.
Our 2019 results reflect what traders have told us when it comes to digital assets and products. Last year, we saw significantly higher trading volumes from products with crypto currencies as underlyings. Overall volumes grew by +8.5% over 2018, but the increase in crypto products alone was +17%, reaching CHF 518.2 million ($534.54 m). There was a year-on-year increase in the number of transactions, as well (+21%): 19,636 trades in total.
The potential digital assets hold is clear – evidenced by the building of the SIX Digital Exchange (SDX), a fully integrated issuance, trading, settlement and custody infrastructure for digital assets.
According to traders, artificial intelligence (AI) is expected to bring further benefits to market operations.
Two thirds of our survey respondents anticipate AI will create more opportunities for the traditional equities business, while a similar number expect it to reduce the cost of trading. Innovation in AI is already – and will continue to be – a key driver in making our industry more effective at withstanding future risks and challenges both within and beyond the market itself.
In Europe, there is growing momentum behind calls for shorter trading hours – this trend was reflected in our survey as well.
Industry groups such as the Investment Association are advocating for stock market trading hours to be cut from 8.5 to 6.5 hours to open the industry to working parents and women who cannot commit to such long workdays. We found traders were largely supportive of this, with many saying that it could even facilitate operational benefits. The roll of AI is clear here in improving efficiency while minimising time wastage: 36% of traders said the introduction of shorter trading hours would prompt greater market liquidity.
Beyond the market itself, geopolitics continue to shape wider market sentiment.
It comes as no surprise that four fifths of traders said their strategies have been – to some extent – influenced by Donald Trump’s tweets. Interestingly, only 39% of those polled viewed Brexit as an influencing factor in trading activity, while three quarters believe the US election will drive trading activity in 2020 and 65% acknowledged trade wars would also have an impact.
More broadly, traders are split on the state of the global economy – 58% are bracing for a global recession while 42% predict stable macro-economic conditions over the next three years. What seems clear is that whatever happens in the wider economy, traders are making headway with new technologies that can improve their strategy, efficiency, and overall market health.
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