Life never gets any easier for the digital and information technology teams in organisations. The range and reach of the different technologies continue to open new opportunities for organisations that have the foresight and strategy to chase them. Improving offers for existing customers and reaching new segments depend on the organisation’s ability to innovate.
But the complexity of the digital ecosystem means this ability to innovate will be heavily constrained, causing improvements to take longer and cost more in many cases. Addressing the top business priorities expressed in the Ecosystm Digital Enterprise Study, 2022, will need tech teams to look to simplify as well as add features.
Complexity is Not Just an IT Issue
Many parts of an organisation have been making decisions on implementing new digital capabilities, particularly those involved in remote working. Frequently, the IT organisation has not been involved in the selection, implementation and use of these new facilities.
The number of start-up organisations delivering SaaS has continued to explode. A particular area has been the expansion of co-creation tools used by teams to deliver outcomes. In many cases, these have been introduced by enthusiastic users looking to improve their immediate working environment without the understanding of single-sign-on requirements, security and privacy of information or the importance of backup and business continuity planning.
SaaS tools such as Notion, monday.com and ClickUp (amongst many, many others), are being used to coordinate and manage teams across organisations of all sizes. While these are all cloud services, the support and maintenance of them ultimately will fall to the IT organisation. And they won’t be integrated at all with the tools the IT organisation uses to manage and improve user experience.
Every new component adds to the complexity of the tech environment – but with that complexity comes increased dependencies between components, which slows an organisation’s ability to adapt and evolve. This means each change needs more work to deliver, costs increase, and it takes longer to deliver value.
And this increasing complexity causes further problems with cybersecurity. Without regular attention, legacy systems will increase the attack surface of organisations, making it easier to compromise an organisation’s environment. At a recent executive forum with CISOs, attendees rated the risks caused by their legacy systems as their most significant concern.
An organisation’s leadership needs to both simplify and advance their organisation’s digital capabilities to remain competitive. This balance should not be left to the IT organisation to achieve as they will not be able to deliver both without wider support and recognition of the problems.
Discriminate on Differentiating Skills
One thing we can be sure of is that we won’t be able to employ all the skills we need for our future capabilities. We are not training enough people in the skills that we need now and for the future, and the range of technologies continues to expand, increasing the number of skills that we will need to keep an organisation running.
Most organisations are not removing or replacing ageing systems, preferring to keep them running at an apparently low cost. Often these legacy systems are fully depreciated, have low maintenance costs and have few changes made to them, as other areas of the organisation offer better investment options. But this also means that the old skills remain necessary.
So organisational leaders are adding new skills requirements on top of old, with the older skills being less attractive with so many new languages, frameworks and databases becoming available. Wikipedia has a very long list of languages that have been developed over the years. Some from the 1950s, like FORTRAN and LISP, continue to be used today.
Organisations will not be in a position to employ all the skills it needs to implement, develop and maintain for its digital infrastructure and applications. The choice is going to be which skills are most important to an organisation. This selection needs to be very discriminating and focus on differentiating skills – those that really make a difference within your ecosystem, particularly for your customers and employees.
Organisations will need a great partner who can deliver generic skills and more services. They will have better economies of scale and skill and will free management to attend to those things most important to customers and employees.
Hybrid Cloud has an Edge
Almost every organisation has a hybrid cloud environment. This is not a projection – it has already happened. And most organisations are not well equipped to deal with this situation.
Organisations may not be aware that they are using multiple public clouds. Many of the niche SaaS applications used by an organisation will use Microsoft Azure, AWS or GCP, so it is highly likely organisations are already using multiple public clouds. Not to mention the offerings from vendors such as Oracle, Salesforce, SAP and IBM. IT teams need to be able to monitor, manage and maintain this complex set of environments. But we are only in the early stages of integrating these different services and systems.
But there is a third leg to this digital infrastructure stool that is becoming increasingly important – what we call “the Edge” – where applications are deployed as part of the sensors that collect data in different environments. This includes applications such as pattern recognition systems embedded in cameras so that network and server delays cannot affect the performance of the edge systems. We can see this happening even in our homes. Google supports their Nest domestic products, while Alexa uses AWS. Not to mention Amazon’s Ring home security products.
With the sheer number of these edge devices that already exist, the complexity it adds to the hybrid environment is huge. And we expect IT organisations to be able to support and manage these.
Simplify, Specialise, Scale
The lessons for IT organisations are threefold:
- Simplify as much as possible while you are implementing new features and facilities. Retiring legacy infrastructure elements should be consistently included in the IT Team objectives. This should be done as part of implementing new capabilities in areas that are related to the legacy.
- Specialise in the skills that are the differentiators for your organisation with its customers and employees. Find great partners who can provide the more generic skills and services to take this load off your team.
- Scale your hybrid management environment so that you can automate as much of the running of your infrastructure as possible. You need to make your IT Team as productive as possible, and they will need power tools.
For IT vendors, the lessons are similar.
- Simplify customer offers as much as possible so that integration with your offering is fast and frugal. Work with them to reduce and retire as much of their legacy as possible as you implement your services. Duplication of even part of your offer will complicate your delivery of high-quality services.
- Understand where your customers have chosen to specialise and look to complement their skills. And consistently demonstrate that you are the best in delivering these generic capabilities.
- Scale your integration capabilities so that your customers can operate through that mythical single pane of glass. They will be struggling with the complexities of the hybrid infrastructure that include multiple cloud vendors, on-premises equipment, and edge services.
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For the last two years organisations have been forced to invest on digital services for their customers and giving their employees access to the right technologies to allow them to work from home – or from anywhere they choose to. Organisations find that they have to continue to evolve – and are now looking to build a ‘Digital Workplace’ that caters to the hybrid workplace.
As organisations in ASEAN define the work model that works for their business operations, work culture and organisational goals, there are a few areas that they must focus on.
Here are 5 insights from the Ecosystm Voice of the Employee Study that will help you shape your Digital Workplace.
- Evolve the physical workplace. 72% of knowledge workers in ASEAN will work both remotely and from the office.
- Build a true hybrid work culture. As organisations form their Digital Workplace strategy, they will have to ensure that the workplace is as comfortable as home offices!
- Focus on employee wellbeing. Only 25% of organisations in ASEAN have made changes to their HR policies in the last two years.
- Invest in the right technologies. To build that resilient hybrid workplace, organisations will first have to conduct a gap analysis and consolidation of their tech investments over the last two years.
- Continue to monitor employee behaviour patterns. As organisations work towards a ‘Return to Work’ policy, they will see significant changes in employee usage behaviour patterns. If the right cyber practices are not in place, this could leave organisations vulnerable again.
Read on for more insights
One of the main questions that I have faced over the past week, since I wrote the Ecosystm Insight – Welcome to the Great Bounce Forward – is “How is this different to the “New Normal”? Many have commented that the concept of the Great Bounce Forward is more descriptive and more positive than the term “New Normal” – but I believe they are different, and require different strategies and mindsets.
This is a brief summary of some of the major differences between the New Normal and the Great Bounce Forward. I look forward with excitement and some trepidation towards this future. One where business success will be dictated not only by our customer obsession, but also the ability of our business to pivot, shift, change and adapt.
I can’t tell you what will happen in the future – a green revolution? Another pandemic? A major war? A global recession? Market hypergrowth? All the people living life in peace? Imagine that…
What I can tell you is what your organisation needs to do to be able to meet all of these challenges head-on and set yourself up for success. And to me, that won’t look like the new normal. There is nothing normal about these business capabilities at all.
In this edition of Ecosystm RNx – an objective vendor ranking based on in-depth, quantified ratings from technology decision-makers on the Ecosystm platform – we rank the Top 10 Global Cybersecurity Vendors.
If you are an End User, you are having to re-evaluate your Cybersecurity risks and measures as both solution capabilities and the threat landscape become more complex. In a fragmented market, it is difficult to select the right Cybersecurity partner to safeguard your organisation. This vendor ranking will help you evaluate your buying decisions based on key evaluation ratings by your peers across a number of key metrics and benchmarks, including customer experience.
If you are Cybersecurity Vendor, you are aware that end users are looking more for Cybersecurity services than solutions – this is an opportunity to understand how your customers rate you on capabilities and their overall customer experience.
In this Insight, our guest author Anupam Verma talks about how the Global Capability Centres (GCCs) in India are poised to become Global Transformation Centres. “In the post-COVID world, industry boundaries are blurring, and business models are being transformed for the digital age. While traditional functions of GCCs will continue to be providing efficiencies, GCCs will be ‘Digital Transformation Centres’ for global businesses.”
India has a lot to offer to the world of technology and transformation. Attracted by the talent pool, enabling policies, digital infrastructure, and competitive cost structure, MNCs have long embraced India as a preferred destination for Global Capability Centres (GCCs). It has been reported that India has more than 1,700 GCCs with an estimated global market share of over 50%.
GCCs employ around 1 million Indian professionals and has an immense impact on the economy, contributing an estimated USD 30 billion. US MNCs have the largest presence in the market and the dominating industries are BSFI, Engineering & Manufacturing, Tech & Consulting.
GCC capabilities have always been evolving
The journey began with MNCs setting up captives for cost optimisation & operational excellence. GCCs started handling operations (such as back-office and business support functions), IT support (such as app development and maintenance, remote IT infrastructure, and help desk) and customer service contact centres for the parent organisation.
In the second phase, MNCs started leveraging GCCs as centers of excellence (CoE). The focus then was product innovation, Engineering Design & R&D. BFSI and Professional Services firms started expanding the scope to cover research, underwriting, and consulting etc. Some global MNCs that have large GCCs in India are Apple, Microsoft, Google, Nissan, Ford, Qualcomm, Cisco, Wells Fargo, Bank of America, Barclays, Standard Chartered, and KPMG.
In the post-COVID world, industry boundaries are blurring, and business models are being transformed for the digital age. While traditional functions of GCCs will continue to be providing efficiencies, GCCs will be “Digital Transformation Centres” for global businesses.
The New Age GCC in the post-COVID world
On one hand, the pandemic broke through cultural barriers that had prevented remote operations and work. The world became remote everything! On the other hand, it accelerated digital adoption in organisations. Businesses are re-imagining customer experiences and fast-tracking digital transformation enabled by technology (Figure 1). High digital adoption and rising customer expectations will also be a big catalyst for change.
In last few years, India has seen a surge in talent pool in emerging technologies such as data analytics, experience design, AI/ML, robotic process automation, IoT, cloud, blockchain and cybersecurity. GCCs in India will leverage this talent pool and play a pivotal role in enabling digital transformation at a global scale. GCCs will have direct and significant impacts on global business performance and top line growth creating long-term stakeholder value – and not be only about cost optimisation.
GCCs in India will also play an important role in digitisation and automation of existing processes, risk management and fraud prevention using data analytics and managing new risks like cybersecurity.
More and more MNCs in traditional businesses will add GCCs in India over the next decade and the existing 1,700 plus GCCs will grow in scale and scope focussing on innovation. Shift of supply chains to India will also be supported by Engineering R & D Centres. GCCs passed the pandemic test with flying colours when an exceptionally large workforce transitioned to the Work from Home model. In a matter of weeks, the resilience, continuity, and efficiency of GCCs returned to pre-pandemic levels with a distributed and remote workforce.
A Final Take
Having said that, I believe the growth spurt in GCCs in India will come from new-age businesses. Consumer-facing platforms (eCommerce marketplaces, Healthtechs, Edtechs, and Fintechs) are creating digital native businesses. As of June 2021, there are more than 700 unicorns trying to solve different problems using technology and data. Currently, very few unicorns have GCCs in India (notable names being Uber, Grab, Gojek). However, this segment will be one of the biggest growth drivers.
Currently, only 10% of the GCCs in India are from Asia Pacific organisations. Some of the prominent names being Hitachi, Rakuten, Panasonic, Samsung, LG, and Foxconn. Asian MNCs have an opportunity to move fast and stay relevant. This segment is also expected to grow disproportionately.
New age GCCs in India have the potential to be the crown jewel for global MNCs. For India, this has a huge potential for job creation and development of Smart City ecosystems. In this decade, growth of GCCs will be one of the core pillars of India’s journey to a USD 5 trillion economy.
The views and opinions mentioned in the article are personal.
Anupam Verma is part of the Senior Leadership team at ICICI Bank and his responsibilities have included leading the Bank’s strategy in South East Asia to play a significant role in capturing Investment, NRI remittance, and trade flows between SEA and India.
In March I published an analysis of Samsung DeX – which is a desktop environment which many businesses could benefit from deploying to specific teams, roles or employees. During my research, I found that one of the shortcomings is the lack of native support for dual screens. I know that many information workers in particular use dual-screen setups – and going back to a single screen feels highly unproductive!
Knowing this, a contact at Samsung pointed me to a company that has developed a dual-screen capability for a virtual desktop environment running on DeX – so I jumped at the opportunity to trial the environment in my own dual screen setup.
The product is called NetConnect – and is sold by VOIP. It is actually a Branch Of One style solution, which allows employees to access enterprise resources on any device. But one of its unique features is the ability to run a dual screen virtual desktop environment.
NetConnect’s Dual Screen Capabilities – An Analysis
DeX users that run the NetConnect app can extend the desktop to a second, internet connected monitor or screen. The key point here is “internet connected” – the screen is deployed across the internet – not across cables from the phone. This means any tablet, laptop or connected screen can be used as the second screen for the Windows virtual desktop running through NetConnect. In my particular demo environment, the software (both NetConnect and the Windows server) was running in a data centre in Singapore – but the company (VOIP) sells the solution to organisations to run in their own data centre environment.
The overall experience is seamless. The fact that one screen is running on a server in Singapore and being sent across the internet to my Samsung phone, and the other screen is running in Singapore and being sent across the internet to a completely different device is remarkable. The mouse moves across screens as if the desktop is running locally. While my demo environment was limited to web and a few desktop applications, I often found myself astonished that this entire environment was being driven by a smartphone (and a lot of clever technology behind the scenes!). Suddenly the limitations of only having a single screen for DeX disappeared – I now could run one application on my first screen and another on my second screen – and continue working, without the need to endlessly alt-tab between applications and screens.
There are some limitations – video streaming is not very smooth, and connected devices (cameras etc. for Zoom or Teams calls) are not recognised. These features are on the roadmap, but not available today. But the NetConnect solution really does open DeX up to a whole new community of users. Some of the VOIP employees I met at their office don’t have a laptop on their desk or a desktop underneath it – they are running their entire work environment from their Samsung phone!
And being a Branch of One solution, NetConnect also brings with it inherent security benefits – of not ever taking company data out of the data centre, reducing threats from viruses and malware that would normally run on the end-user computing device and others. It also improves the manageability of the desktop environment and makes it simple to deploy to users. Branch of One is about bringing all of the inherent benefits and capabilities that an office or branch would have and enabling a single user to get this power and security.
NetConnect is more than a dual screen solution – so working out which comes first is the interesting challenge. If your business is looking to run a solution like NetConnect, it is worth your while examining the opportunity to use DeX to extend full, dual screen desktop solutions to your employees. And if you are a business running DeX, NetConnect could open opportunities to extend DeX to more employees, roles or teams than originally planned.
Checkout Tim’s previous insight where he provides a detailed analysis on whether Samsung DeX is suitable for your employees. He bases his insights from using Samsung DeX as his primary desktop environment over the past 4 weeks.
In this blog, our guest authors Randeep Sudan and Yamin Oo talk about the pervasiveness of the Digital Economy, and the key trends that will determine its future trajectory. “That the world in 2030 will be very different from today is obvious. We may, however, be surprised by the extent and sweep of the change ahead of us.”
The Digital Economy – a term first coined by Don Tapscott in 1994 – is not easy to define or measure. At one end, it is limited to the production and consumption of digital goods and services. On the other end, according to the European Parliament, “The digital economy is increasingly interwoven with the physical or offline economy making it more and more difficult to clearly delineate the digital economy“. We are, however, witnessing the Digital Economy transitioning to an economy that is digital.
Given the pervasiveness of the Digital Economy, its future will be determined by the complex interplay of several trends. Some of the trends that illustrate the future trajectory of the Digital Economy are:
Technology
We will see AI becoming ubiquitous as it is leveraged in every sector and sphere of activity. According to one estimate, AI is estimated to contribute USD 15.7 trillion to the global economy by 2030, which is more than the current GDP of China and India combined! We are also likely to see rapid progress in technologies related to Extended Reality (XR) in the coming years. COVID-19 is accelerating this trend, as we can see from the offerings of companies like Spatial and MeetinVR that facilitate virtual business meetings. The analog world’s rendering into its digital twin will see us moving towards a metaverse – a virtual shared space imagined in Neal Stephenson’s novel Snowcrash. Some of the biggest names in the tech industry – Apple (Apple glass), Facebook (Oculus), Sony (Playstation) – are assiduously working towards this direction.
Given the importance of telecom infrastructure to the Digital Economy, 5G networks are being rolled out in countries worldwide (Figure 1). However, even as 5G is being deployed, the buzz around 6G is getting louder. 6G may transmit data 100 times faster than 5G and may see deployment by 2030 given the decadal cycles for telecom: 1G in the 80s, 2G in the 90s, 3G in the decade following 2000, 4G in the decade starting 2010, and 5G beginning in the 2020s.
The availability of high bandwidth, low latency networks could lead to newer applications and further breakthroughs in innovative technologies.
The Future of Work
With the rapid growth in automation and AI, we are likely to see significant labour market disruptions. Moreover, COVID-19 has been a watershed for the global economy – its impacts will continue to be felt for many years to come. According to the International Labor Organization, 495 million full-time jobs were lost in the first two quarters of 2020 due to COVID-19. Lower and middle-income countries have suffered the most, with an estimated 23.3% drop in working hours – equivalent to 240 million jobs.
A recent report from the World Economic Forum estimates that by 2025, 85 million jobs may be displaced due to automation and AI, while 97 million new roles may emerge. We will see significant changes and turbulence in labour markets across multiple industries and geographies in the years ahead. If we look at how the top ten skills required by the top 10 US companies have been changing over time, we get an indication of the Future of Work. Companies are more focused on “soft” skills, that are not easily addressed by AI & Automation.
We are also likely to see a shift from humans adapting to technology to technologies adapting to humans. For example, the acceleration in digital twins combined with advancements in XR could allow unskilled workers to do skilled jobs. AR could guide a worker to repair a piece of mechanical equipment without long years of previous training. Similarly, the emergence of ‘Low Code No Code’ (LCNC) applications will allow ordinary individuals to do tasks that previously required specialised training.
Climate Change
Scientists have long focused our attention to limit the carbon dioxide in the atmosphere to 450 parts per million to avoid catastrophic climate change. In 2016, the World Meteorological Organization reported this concentration had crossed 400 parts per million, leaving us with a shorter runway to prevent calamitous climate change. We are, therefore, likely to see increased efforts to tackle climate change in the decade ahead.
Digital technologies can impact the global climate agenda in multiple ways: smart grids, smart buildings, smart appliances, intelligent transport systems, shared mobility, and 3D printing, to name a few. Digital technologies will also allow new sources of renewable energy to be tapped. For example, the molten core of the earth is over 6,000°C. “Just 0.1% of the heat content of Earth could supply humanity’s total energy needs for 2 million years,” according to AltaRock Energy. Advances in the use of digital technologies that allow for precise directional drilling will allow for advanced geothermal systems to be established as reliable power sources.
Splinternet
Tech bloggers like Doc Searls and Stephen Lewis had begun to theorise about a Splinternet as early as 2008. There was a danger of governments carving the world into geopolitical blocks and creating technology barriers. China’s Great Firewall and the US’s recent responses under the Trump administration are likely to hurtle us in the direction of a fractured internet. We may end up with the US dominating the western internet and China dominating a competing block of countries. The Digital Economy’s evolution would fracture into different camps, making it very different from what it is today.
Tech Regulation
The most valuable companies in the world today are in tech. Seven of the top ten companies in the world by market cap in 2020 are tech companies.
The recent investigation into competition in digital markets undertaken by the US House Judiciary Committee observed: “Over the past decade, the digital economy has become highly concentrated and prone to monopolisation. Several markets investigated by the Subcommittee – such as social networking, general online search, and online advertising – are dominated by just one or two firms. The companies investigated by the Subcommittee – Amazon, Apple, Facebook, and Google – have captured control over key channels of distribution and have come to function as gatekeepers. Just a decade into the future, 30% of the world’s gross economic output may lie with these firms, and just a handful of others.“
We have also witnessed the rapid diversification of data monopolies into other sectors. See, for example, the diversification of VC investments by Alibaba’s Ant Group over time. In 2015 they were investing in 5 areas, which has doubled in the last 5 years.
The call for the regulation of big tech will gain momentum in the coming years. The European Union is likely to lead here, just the way just it did in the case of its General Data Protection Regulation.
Governments will also require data monopolies to share data. China mandates its automakers to share data generated by electric vehicles with a government research institute. This data is essential for public safety and planning battery-recharging stations. The Australian Government promotes the concept of sharing “designated datasets” that could include data held by the private sector that has significant community benefits. Similarly, France’s Law for a Digital Republic requires the sharing data by certain categories of the private sector. Such blurring of boundaries between public and private data will become more important.
We will also see the growing importance of data trusts. These are structures where data is placed in the custody of a “Board of Trustees” who have a fiduciary responsibility to look after the interests of data owners. Such data trusts might give individuals better control over their data.
Every aspect of the economy is being digitalised today. In the next decade we are likely to witness foundational shifts in how the Digital or Data Economy is structured. It will also see increasing risks as cyber threats grow exponentially from cybercriminals and state actors. That the world in 2030 will be very different from today is obvious. We may, however, be surprised by the extent and sweep of the change ahead of us.
Singapore FinTech Festival 2020: Economic Summit
For more insights, attend the Singapore FinTech Festival 2020: Economic Summit which will cover topics tied to the state of the economy, path to recovery and re-framing the new financial services landscape
2020 saw a shutdown in both supply and demand which has effectively put the brakes on many economic activities and forced a complete rethink on how to continue doing business and maintain social interactions. The COVID-19 pandemic has accelerated digitalisation of consumers and enterprises, and the telecommunications industry has been the pillar which has kept the world ticking over. The rise in data use coupled with the fervent growth of the digital economy augurs well for the telecom sector in 2021.
Ecosystm Advisors Claus Mortensen, Rahul Gupta, and Shamir Amanullah present the top 5 Ecosystm predictions for Telecommunications & Mobility trends for 2021. This is a summary of the predictions – the full report (including the implications) is available to download for free on the Ecosystm platform.
The Top 5 Telecommunications & Mobility Trends for 2021
- The 5G Divide – Reality for Some and Hype for Others
Despite the economic challenges in 2020, GSMA reports that the global 5G subscriptions doubled QoQ in Q2 2020 to hit at least 137.7 million subscribers. This accounts for 1.5% of total subscribers – and is expected to rise to 30% by 2025.
The value of 5G will become increasingly mainstream in the next few years. 5G offers a tailored user-centric approach to network services, low latency and significantly higher number of connections which will power a new era of mobile Internet of Everything (IoE).
However, there are many operators who are still sceptical about 5G. In the US, many operators failed to get any tangible positives from 5G. In the near term, many operators will continue to evolve their 5G capabilities – a full grown standalone 5G technology implementation in some verticals might take longer.
The unsuccessful launch of 5G by the US operators does not mean that 5G is a failure, however. It also implies that we need to look at other geographies to lead us into 5G – and Asia Pacific may well emerge as a leader in this space. China, for example, leads the drive in 5G adoption; and 5G smartphones account for more than half of global sales in recent months.
- Telecom Operators Will Accelerate Digital Transformation
Telecom operators are facing increasing demands for cutting-edge services and top-notch customer experience (CX). The global pandemic has caused revenue loss, due to struggling economies and many operators will aim to reduce OpEX to circumvent these financial pressures, raise the quality of CX and retain existing customers. To realise this, there will be much focus on improvement in efficiencies, better operations management as well as improving the IT stack. These digital transformation efforts will enable rapid and flexible services provisioning, which will be better prepared for the tailored services customers now demand.
Many operators are increasingly incorporating cloudification alongside the 5G network deployment. Operators are moving towards transforming their operations and business support systems to a more virtualised and software-defined infrastructure. 5G will operate across a range of frequencies and bands – with significantly more devices and connections becoming software-defined with computing power at the Edge. Operators will also harness the power of AI to analyse massive volumes of data from the networks accessed by millions of devices in order to improve CX, ramp up operational efficiencies as well as introduce new services tailored to customer needs to increase revenue.
- Remote Working Will Transform Telecommunications Networks
The changing patterns in peak network traffic and the substantial movement of traffic from central business districts to residential areas require a fundamental rethink in network traffic management. In addition, many businesses continue to ramp up digital transformation efforts to conduct business online as physical channels will remain limited. Consumer onboarding will also be fervent, as organisations look at business recovery – resulting in increase in bandwidth requirements.
The increasing remote working trend is amplifying the need for greater cybersecurity. Cybersecurity has catapulted in importance as the pandemic has seen a worrying increase in attacks on banks, cloud servers and mobile devices, among others. Cyber-attack incidents specifically due to remote working, has seen a rise. A telecom operator’s compromised security can have country-wide, and even global consequences.
- SASE Will Grow – and Sprawl
Although it was perhaps originally seen as an Over-The-Top (OTT) provisioned competitive service to operators’ MPLS services, many telecom service providers have been embracing SD-WAN over the years as part of their managed services portfolio. “Traditional” SD-WAN offers some of the flexibility needed to address the change towards a more distributed access and the workload requirements that the pandemic has accelerated – the technology does not address all of the issues related to this transformed workspace.
Employees are now working from a variety of locations and workloads are becoming increasingly distributed. To address this change, organisations are challenged to move workloads and applications between platforms, potentially compromising security. Despite all the challenges that the pandemic brought with it – both human and technical – it has also provided organisations with an opportunity to rethink their IT and WAN architectures and to adopt an approach that has security at its core.
We believe that secure access service edge (SASE), which is a model for combining SD-WAN and security in a cloud-based environment, will see a drastic rise in adoption in 2021 and beyond.
- OTT Players Will Continue their Expansion in the Telecommunications Space
Facebook, Google, Amazon are no longer considered as web companies as they moved from standalone ‘web’ companies to become OTT providers and are now significant players in telecom space. With the Facebook-Jio deal in India earlier this year, and with Google and Amazon actively eyeing the telecom space, these players will continue to explore this space especially in the emerging markets of Asia and Africa. There are telecom providers in these countries which will be prime targets for partnerships. These operators could be those that have a large customer base, are struggling with their bottom lines or are already looking at exit routes. OTT players were already offering services like voice, messaging, video calling and so on which have been the domain expertise of mobile operators for a long time. The market will see instances where telecom providers will sell small stakes to OTT players at a premium and get access to the vast array of services that these OTT providers offer.
Artificial Intelligence (AI) is becoming embedded in financial services across consumer interactions and core business processes, including the use of chatbots and natural language processing (NLP) for KYC/AML risk assessment.
But what does AI mean for financial regulators? They are also consuming increasing amounts of data and are now using AI to gain new insights and inform policy decisions.
The efficiencies that AI offers can be harnessed in support of compliance within both financial regulation (RegTech) and financial supervision (SupTech). Authorities and regulated institutions have both turned to AI to help them manage the increased regulatory requirements that were put in place after the 2008 financial crisis. Ecosystm research finds that compliance is key to financial institutions (Figure 1).
SupTech is maturing with more robust safeguards and frameworks, enabling the necessary advancements in technology implementation for AI and Machine Learning (ML) to be used for regulatory supervision. The Bank of England and the UK Financial Conduct Authority surveyed the industry in March 2019 to understand how and where AI and ML are being used, and their results indicated 80% of survey respondents were using ML. The most common application of SupTech is ML techniques, and more specifically NLP to create more efficient and effective supervisory processes.
Let us focus on the use of NLP, specifically on how it has been used by banking authorities for policy decision making during the COVID-19 crisis. AI has the potential to read and comprehend significant details from text. NLP, which is an important subset of AI, can be seen to have supported operations to stay updated with the compliance and regulatory policy shifts during this challenging period.
Use of NLP in Policy Making During COVID-19
The Financial Stability Board (FSB) coordinates at the international level, the work of national financial authorities and international standard-setting bodies in order to develop and promote the implementation of effective regulatory, supervisory and other financial sector policies. A recent FSB report delivered to G20 Finance Ministers and Central Bank Governors for their virtual meeting in October 2020 highlighted a number of AI use cases in national institutions.
We illustrate several use cases from their October report to show how NLP has been deployed specifically for the COVID-19 situation. These cases demonstrate AI aiding supervisory team in banks and in automating information extraction from regulatory documents using NLP.
De Nederlandsche Bank (DNB)
The DNB is developing an interactive reporting dashboard to provide insight for supervisors on COVID-19 related risks. The dashboard that is in development, enables supervisors to have different data views as needed (e.g. over time, by bank). Planned SupTech improvements include incorporating public COVID-19 information and/or analysing comment fields with text analysis.
Monetary Authority of Singapore (MAS)
MAS deployed automation tools using NLP to gather international news and stay abreast of COVID-19 related developments. MAS also used NLP to analyse consumer feedback on COVID-19 issues, and monitor vulnerabilities in the different customer and product segments. MAS also collected weekly data from regulated institutions to track the take-up of credit relief measures as the pandemic unfolded. Data aggregation and transformation were automated and visualised for monitoring.
US Federal Reserve Bank Board of Governors
One of the Federal Reserve Banks in the US is currently working on a project to develop an NLP tool used to analyse public websites of supervised regulated institutions to identify information on “work with your customer” programs, in response to the COVID-19 crisis.
Bank of England
The Bank developed a Policy Response Tracker using web scraping (targeted at the English versions of each authority/government website) and NLP for the extraction of key words, topics and actions taken in each jurisdiction. The tracker pulls information daily from the official COVID-19 response pages then runs it through specific criteria (e.g. user-defined keywords, metrics and risks) to sift and present a summary of the information to supervisors.
Market Implications
Even with its enhanced efficiencies, NLP in SupTech is still an aid to decision making and cannot replace the need for human judgement. NLP in policy decision is performing clearly defined information gathering tasks with greater efficiency and speed. But NLP cannot change the quality of the data provided, so data selection and choice are still critical to effective policy making.
For authorities, the use of SupTech could improve oversight, surveillance, and analytical capabilities. These efficiency gains and possible improvement in quality arising from automation of previously manual processes could be consideration for adoption.
Attention will be paid in 2021 to focusing on automation of processes using AI (Figure 2).
Based on a survey done by the FSB of its members (Figure 3), the majority of their respondents had a SupTech innovation or data strategy in place, with the use of such strategies growing significantly since 2016.
Summary
For more mainstream adoption, data standards and use of effective governance frameworks will be important. As seen from the FSB survey, SupTech applications are now used in reporting, data management and virtual assistance. But institutions still send the transaction data history in different reporting formats which results in a slower process of data analysing and data gathering. AI, using NLP, can help with this by streamlining data collection and data analytics. While time and cost savings are obvious benefits, the ability to identify key information (the proverbial needle in the haystack) can be a significant efficiency advantage.
Singapore FinTech Festival 2020: Infrastructure Summit
For more insights, attend the Singapore FinTech Festival 2020: Infrastructure Summit which will cover topics tied to creating infrastructure for a digital economy; and RegTech and SupTech policies to drive innovation and efficiencies in a co-Covid-19 world.