Tag: cloud

The Banking, Financial Services, and Insurance (BFSI) industry, known for its cautious stance on technology, is swiftly undergoing a transformational modernisation journey. Areas such as digital customer experiences, automated fraud detection, and real-time risk assessment are all part of a technology-led roadmap. This shift is transforming the cybersecurity stance of BFSI organisations, which have conventionally favoured centralising everything within a data centre behind a firewall. 

Ecosystm research finds that 75% of BFSI technology leaders believe that a data breach is inevitable. This requires taking a new cyber approach to detect threats early, reduce the impact of an attack, and avoid lateral movement across the network.  

BFSI organisations will boost investments in two main areas over the next year: updating infrastructure and software, and exploring innovative domains like digital workplaces and automation. Cybersecurity investments are crucial in both of these areas.

As a regulated industry, breaches come with significant cost implications, underscoring the need to prioritise cybersecurity. BFSI cybersecurity and risk teams need to constantly reassess their strategies for safeguarding data and fulfilling compliance obligations, as they explore ways to facilitate new services for customers, partners, and employees.  

The primary concerns of BFSI CISOs can be categorised into two distinct groups:

1. Expanding Technology Use. This includes the proliferation of applications and devices, as well as data access beyond the network perimeter.
2. Employee-Related Vulnerabilities. This involves responses to phishing and malware attempts, as well as intentional and unintentional misuse of technology.

Vulnerabilities Arising from Employee Actions

Security vulnerabilities arising from employee actions and unawareness represent a significant and ongoing concern for businesses of all sizes and industries – the risks are just much bigger for BFSI. These vulnerabilities can lead to data breaches, financial losses, damage to reputation, and legal ramifications. A multi-pronged approach is needed that combines technology, training, policies, and a culture of security consciousness. 

Training and Culture. BFSI organisations prioritise comprehensive training and awareness programs, educating employees about common threats like phishing and best practices for safeguarding sensitive data. While these programs are often ongoing and adaptable to new threats, they can sometimes become mere compliance checklists, raising questions about their true effectiveness. Conducting simulated phishing attacks and security quizzes to assess employee awareness and identify areas where further training is required, can be effective.  

To truly educate employees on risks, it’s essential to move beyond compliance and build a cybersecurity culture throughout the organisation. This can involve setting organisation-wide security KPIs that cascade from the CEO down to every employee, promoting accountability and transparency. Creating an environment where employees feel comfortable reporting security concerns is critical for early threat detection and mitigation. 

Policies. Clear security policies and enforcement are essential for ensuring that employees understand their roles within the broader security framework, including responsibilities on strong password use, secure data handling, and prompt incident reporting. Implementing the principle of least privilege, which restricts access based on specific roles, mitigates potential harm from insider threats and inadvertent data exposure. Policies should evolve through routine security audits, including technical assessments and evaluations of employee protocol adherence, which will help organisations with a swifter identification of vulnerabilities and to take the necessary corrective actions.  

However, despite the best efforts, breaches do happen – and this is where a well-defined incident response plan, that is regularly tested and updated, is crucial to minimise the damage. This requires every employee to know their roles and responsibilities during a security incident. 

Tech Expansion Leading to Cyber Complexity

Cloud. Initially hesitant to transition essential workloads to the cloud, the BFSI industry has experienced a shift in perspective due to the rise of inventive SaaS-based Fintech tools and hybrid cloud solutions, that have created new impetus for change. This new distributed architecture requires a fresh look at cyber measures. Secure Access Service Edge (SASE) providers are integrating a range of cloud-delivered safeguards, such as FWaaS, CASB, and ZTNA with SD-WAN to ensure organisations can securely access the cloud without compromising on performance.   

Data & AI. Data holds paramount importance in the BFSI industry for informed decision-making, personalised customer experiences, risk assessment, fraud prevention, and regulatory compliance. AI applications are being used to tailor products and services, optimise operational efficiency, and stay competitive in an evolving market. As part of their technology modernisation efforts, 47% of BFSI institutions are refining their data and AI strategies. They also acknowledge the challenges associated – and satisfying risk, regulatory, and compliance requirements is one of the biggest challenges facing BFSI organisations in the AI deployments.  

While there has been much speculation about AI being a potential negative force on humanity, what we do know today is that the accelerated use of AI WILL mean an accelerated use of energy. And if that energy source is not renewable, AI will have a meaningful negative impact on CO² emissions and will accelerate climate change. Even if the energy is renewable, GPUs and CPUs generate significant heat – and if that heat is not captured and used effectively then it too will have a negative impact on warming local environments near data centres.

Balancing Speed and Energy Efficiency

While GPUs use significantly more energy than CPUs, they run many AI algorithms faster than CPUs – so use less energy overall. But the process needs to run – and these are additional processes. Data needs to be discovered, moved, stored, analysed, cleansed. In many cases, algorithms need to be recreated, tweaked and improved. And then that algorithm itself will kick off new digital processes that are often more processor and energy-intensive – as now organisations might have a unique process for every customer or many customer groups, requiring more decisioning and hence more digitally intensive.

The GPUs, servers, storage, cabling, cooling systems, racks, and buildings have to be constructed – often built from raw materials – and these raw materials need to be mined, transported and transformed. With the use of AI exploding at the moment, so is the demand for AI infrastructure – all of which has an impact on the resources of the planet and ultimately on climate change.

Sustainable Sourcing

Some organisations understand this already and are beginning to use sustainable sourcing for their technology services. However, it is not a top priority with Ecosystm research showing only 15% of organisations focus on sustainable procurement.

Technology Providers Can Help

All growth must end eventually. But it is a brave person who will predict the end of growth for the public cloud hyperscalers. The hyperscaler cloud revenues have been growing at between 25-60% the past few years (off very different bases – and often including and counting different revenue streams). Even the current softening of economic spend we are seeing across many economies is only causing a slight slowdown. 

Looking forward, we expect growth in public cloud infrastructure and platform spend to continue to decline in 2024, but to accelerate in 2025 and 2026 as businesses take advantage of new cloud services and capabilities. However, the sheer size of the market means that we will see slower growth going forward – but we forecast 2026 to see the highest revenue growth of any year since public cloud services were founded. 

The factors driving this growth include: 

• Acceleration of digital intensity. As countries come out of their economic slowdowns and economic activity increases, so too will digital activity. And greater volumes of digital activity will require an increase in the capacity of cloud environments on which the applications and processes are hosted. 
• Increased use of AI services. Businesses and AI service providers will need access to GPUs – and eventually, specialised AI chipsets – which will see cloud bills increase significantly. The extra data storage to drive the algorithms – and the increase in CPU required to deliver customised or personalised experiences that these algorithms will direct will also drive increased cloud usage. 
• Further movement of applications from on-premises to cloud. Many organisations – particularly those in the Asia Pacific region – still have the majority of their applications and tech systems sitting in data centre environments. Over the next few years, more of these applications will move to hyperscalers.  
• Edge applications moving to the cloud. As the public cloud giants improve their edge computing capabilities – in partnership with hardware providers, telcos, and a broader expansion of their own networks – there will be greater opportunity to move edge applications to public cloud environments. 
• Increasing number of ISVs hosting on these platforms. The move from on-premise to cloud will drive some growth in hyperscaler revenues and activities – but the ISVs born in the cloud will also drive significant growth. SaaS and PaaS are typically seeing growth above the rates of IaaS – but are also drivers of the growth of cloud infrastructure services. 
• Improving cloud marketplaces. Continuing on the topic of ISV partners, as the cloud hyperscalers make it easier and faster to find, buy, and integrate new services from their cloud marketplace, the adoption of cloud infrastructure services will continue to grow.  
• New cloud services. No one has a crystal ball, and few people know what is being developed by Microsoft, AWS, Google, and the other cloud providers. New services will exist in the next few years that aren’t even being considered today. Perhaps Quantum Computing will start to see real business adoption? But these new services will help to drive growth – even if “legacy” cloud service adoption slows down or services are retired. 

Hybrid Cloud Will Play an Important Role for Many Businesses 

Growth in hyperscalers doesn’t mean that the hybrid cloud will disappear. Many organisations will hit a natural “ceiling” for their public cloud services. Regulations, proximity, cost, volumes of data, and “gravity” will see some applications remain in data centres. However, businesses will want to manage, secure, transform, and modernise these applications at the same rate and use the same tools as their public cloud environments. Therefore, hybrid and private cloud will remain important elements of the overall cloud market. Their success will be the ability to integrate with and support public cloud environments.  

The future of cloud is big – but like all infrastructure and platforms, they are not a goal in themselves. It is what cloud is and will further enable businesses and customers which is exciting. As the rates of digitisation and digital intensity increase, the opportunities for the cloud infrastructure and platform providers will blossom. Sometimes they will be the driver of the growth, and other times they will just be supporting actors. But either way, in 2026 – 20 years after the birth of AWS – the growth in cloud services will be bigger than ever. 

As organisations demand more industry-ready and localised services, global technology companies feel an active need to re-evaluate their capabilities and bridge gaps through partnerships and acquisitions. Ecosystm has been helping global technology companies evolve their partner strategies to remain relevant to the Asia Pacific market.

Our analysis of the tech acquisition landscape in Asia Pacific over the last three years shows that:

• While global tech providers are expanding their presence in Australia and Singapore, emerging markets in Southeast Asia are receiving a fair share of attention. 17% of tech acquisitions by global tech companies between 2020-22 have been in these markets.
• A quarter of the acquisitions were for product and platform capabilities. The rest were all done to bolster services portfolios – such as managed technology, business process, implementation & integration and consulting services.
• A large percentage of the acquisitions are to bolster industry capabilities through transformative technologies such as AI/ML, cloud and cybersecurity.

Here is the analysis of more than 100 acquisitions made by large global tech companies in Asia Pacific between 2020-2022.

Organisations will continue their quest to become digital and data-first in 2023. Business process automation will be a priority for the majority; but many will look at their data strategically to derive better business value. 

As per Ecosystm’s Digital Digital Enterprise Study 2022, organisations will focus equally on Automation and Strategic AI in 2023.

Organisations are aware that they must reinvent themselves continually to remain relevant to their customers, engage their employees and be profitable – and yet they find it challenging to live with the present pace of change.

Achieving a new equilibrium requires organisations to have the right skills; execute effectively every day; drive the best priorities for change; and refresh and renew their capabilities. Organisations will require adaptable people, processes, technologies and data to position themselves to harness the future.

Here are 5 insights that will help you shape your change strategy.

• Productivity persists as a priority. Recruit, train and retain essential skills and look for partners who are leaders in their sphere to provide the other, less differentiating capabilities.
• Digital debt is not only technical. Continuous reinvention requires the identification of an organisation’s digital debt, and evolution of the processes, technology and data to reduce legacy constraints. This will support the reuse and refactoring of existing capabilities in new ways and the introduction of new capabilities.
• Both operations and the customer matter. Investment in both the customer experience and operational efficiency needs to be balanced keeping in mind organisations’ limited available resources.
• Technology must be adaptive. Establishing isolation zones between components to minimise the impact of changing components is becoming key to the rapid delivery of value.
• Tomorrow’s excellence will be driven by iterative reinvention. Iterative innovation will become easier with the adoption of intelligent automation and adaptive AI/ machine learning. However, not only will this require a debt-free technical environment, it will also need an adaptive and scalable infrastructure. 

More insights are below.

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Organisations have had to transform and innovate to survive over the last two years. However, now when they look at their competitors, they see that everyone has innovated at about the same pace. The 7-year innovation cycle is history in today’s world – organisations need the right strategy and technologies to bring the time to market for innovations down to 1-2 years.

As they continue to innovate to stay ahead of the competition, here are 5 things organisations in India should keep in mind:

• The drivers of innovation will shift rapidly and industry trends need to be monitored continually to adapt to these shifts.
• Their biggest challenge in deploying Data & AI solutions will be identification of the right data for the right purpose – this will require a robust data architecture.
• While customer experience gives them immediate and tangible benefits, employee experience is almost equally – if not more – important.
• Cloud investments have helped build distributed enterprises – but streamlining investments needs a lot of focus now.
• There is a misalignment between organisations’ overall awareness of growing cyber threats and risks and their responses to them. A new cyber approach is urgently needed.

More insights into the India tech market are below.

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Southeast Asia has evolved into an innovation hub with Singapore at the centre. The entrepreneurial and startup ecosystem has grown significantly across the region – for example, Indonesia now has the 5^th largest number of startups in the world.  

Organisations in the region are demonstrating a strong desire for tech-led innovation, innovation in experience delivery, and in evolving their business models to bring innovative products and services to market.    

Here are 5 insights on the patterns of technology adoption in Southeast Asia, based on the findings of the Ecosystm Digital Enterprise Study, 2022.

• Data and AI investments are closely linked to business outcomes. There is a clear alignment between technology and business.
• Technology teams want better control of their infrastructure. Technology modernisation also focuses on data centre consolidation and cloud strategy
• Organisations are opting for a hybrid multicloud approach. They are not necessarily doing away with a ‘cloud first’ approach – but they have become more agnostic to where data is hosted.
• Cybersecurity underpins tech investments. Many organisations in the region do not have the maturity to handle the evolving threat landscape – and they are aware of it. 
• Sustainability is an emerging focus area. While more effort needs to go in to formalise these initiatives, organisations are responding to market drivers.

More insights into the Southeast Asia tech market below.

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