NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Visit us at nttdata.com

Previously known as Dimension Data, the company rebranded to NTT DATA, in Middle East and Africa, in 2024.

Nucleus Software delivers disruptive Fintech Solutions to 200+ Banks and Financial Institutions across 50+ countries supporting Retail Lending, Corporate & SME Finance, Islamic Finance, Automotive Finance, Captive Automotive Finance, Cash Management, Mobile & Internet Banking, Transaction Banking and more.

Our solutions manage $15 trillion value of yearly transactions, with over 26 million transactions each day through our globally integrated transaction banking platform. Our lending platform manages $1.2 trillion value of loans globally, while enabling 500,000+ users to log in daily.

Installed by world’s leading brands, Papyrus Software provides a Digital Experience Platform with powerful designer tools that help organizations accelerate application modernization. Multi-disciplinary teams can create and compose complete Business Value Streams in no-code. Companies across industries are uniquely positioned to take advantage of connected technologies, data from any system, AI-powered technology, Process and Case Management with integrated Omni-Channel communications and Content Services secured by Blockchain.

Whether a bank loan, insurance claim or service ticket – customers and employees benefit from fast, seamless processes without media breaks. Learn how to design and execute any business value stream in ONE step!

Orange Business is a network-native digital services company and the global enterprise division of the Orange Group. It connects, protects and innovates for enterprises around the world to support sustainable business growth. Leveraging its connectivity and system integration expertise throughout the digital value chain, Orange Business is well placed to support global businesses in areas such as software-defined networks, multi-cloud services, Data and AI, smart mobility services, and cybersecurity. It securely accompanies enterprises across every stage of the data lifecycle end-to-end, from collection, transport, storage and processing to analysis and sharing.

With companies thriving on innovation, Orange Business places its customers at the heart of an open collaborative ecosystem. This includes its 28,500 employees, the assets and expertise of the Orange Group, its technology and business partners, and a pool of finely selected start-ups. More than 3,000 multinational enterprises, as well as two million professionals, companies and local communities in France, put their trust in Orange Business.

For more information, visit www.orange-business.com or follow us on LinkedIn, Twitter and our blogs.

Orange is one of the world’s leading telecommunications operators with revenues of 42.5 billion euros in 2021 and 271 million customers worldwide at 31 December 2021. Orange is listed on the Euronext Paris (ORA) and on the New York Stock Exchange (ORAN). In December 2019, Orange presented its new “Engage 2025” strategic plan, guided by social and environmental accountability. While accelerating in growth areas, such as B-to-B services and placing data and AI at the heart of innovation, the entire Orange Group will be an attractive and responsible employer.

Orange and any other Orange product or service names included in this material are trademarks of Orange or Orange Brand Limited.

KX is transforming AI deployment by addressing data challenges with its high-performance, AI-ready analytical database. By ingesting and analyzing vast volumes of historical and real-time data, KX enables organizations to accelerate innovation and facilitate more accurate decisions faster. Trusted by top investment banks and other industries across North America, Europe, and Asia Pacific, KX delivers unmatched speed, scalability, and energy efficiency.

Netweb Pte. Ltd. is a full-stack AI infrastructure company offering cutting-edge solutions in HPC, Private Cloud, AI Servers, Workstations, and Storage. Backed by 20+ years of innovation and 500+ deployments, Netweb empowers research, enterprise, and cloud-native workloads with scalable, high-performance systems built for the AI-driven future.

Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation, and interconnection solutions. PlatformDIGITAL®, the company’s global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx®) solution methodology for powering innovation, from cloud and digital transformation to emerging technologies like artificial intelligence (AI), and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. To learn more about Digital Realty, please visit digitalrealty.com or follow us on LinkedIn and X.

AI at Work in Finance: Real Use Cases and Tangible Impact
Balamurugan Jegatheesan,
Chief Architect, FPT Asia Pacific, FPT Corporation

AI is no longer a future bet in banking, financial services, and insurance (BFSI) – it’s driving real changes across the sector. IDC estimates that by 2026, Gen AI alone can unlock $1 trillion in productivity gains for global enterprises, including those in the BFSI industry. These values are driven by a boost in efficiency and experience, with AI enabling smarter decisions, streamlining operations, and transforming processes.

Where AI is working

While the possibilities powered by AI are limitless, let’s discuss some high-impact use cases implemented by global organizations:

– Loan Processing: AI cuts approval times from days to hours by automating document checks and applying pre-defined rules and predictive models to approve or reject applications automatically. We’ve seen a top international bank accelerating its loan and credit application processing time from 6 days to under 24 hours by leveraging an AI-powered digital lending platform.

– Customer Service: AI chatbots can handle routine queries with speed and accuracy while providing a 24/7 service. Unlike traditional chatbots that can only resolve a few simple questions with structured answers, AI virtual assistants can generate human-like interactions and complete a large number of complicated tasks. We’ve witnessed an Asian insurance group integrating an AI chatbot in its customer super app to resolve 87% of customer queries in the first call.

– Portfolio Management: AI can analyze a wealth of complex and unstructured data, finding patterns that are often invisible to the naked eye. This ability allows AI to surface early signals and adjust portfolio management strategies accordingly.

– Insurance Claims: AI can streamline the claims process, from assisting with application review and decision-making to fraud detection. A real-life example is an insurance group employing AI to cut claims processing time from 2 days to 2 minutes and save 8% in costs by detecting fraudulent claims.

– Trade & Supply Chain Finance: AI tackles fraud, document verification, and sanction checks in a space still bogged down by paper and regulation. These enhanced efficiencies help unlock operational excellence and reduce risks.

How to make AI work?

As AI matures, the winners will be those who embed it thoughtfully, combining speed, trust, and domain understanding. Through our own experience, we’ve concluded 4 lessons learned to turn AI visions into tangible impacts:

– AI works best when tied to business needs—not hype.
– Change management and training are critical.
– One-size-fits-all doesn’t work—context matters.
– Explainability is non-negotiable in regulated environments.
Partner Spotlight
Built for Compliance, Designed for Intelligence: Rethinking AI Infrastructure in BFSI
Sandeep Lodha,
CEO,Netweb Pte. Ltd.
In today’s highly regulated, fast-evolving financial landscape, the adoption of Generative AI is no longer a question of “if” — but “how responsibly and at what scale.” For the BFSI sector, the opportunity is immense: AI promises new efficiencies in fraud detection, credit risk analysis, customer engagement, and regulatory compliance. Yet, realizing this potential requires rethinking infrastructure from the ground up — not just for performance, but for trust.

BFSI organizations operate in one of the most compliance-intensive environments. As AI models grow more complex and data-hungry, issues around data governance, sovereignty, auditability, and secure model access become mission-critical. The infrastructure that supports GenAI must be purpose-built to meet these demands, not retrofitted as an afterthought.

This means designing environments where compliance is embedded into the architecture, not layered on top. It calls for infrastructure that supports private, hybrid deployments, robust role-based access, policy enforcement, and the ability to govern every aspect of the AI lifecycle—from data ingestion to inference. Just as financial institutions have long relied on core systems built for trust and resilience, GenAI infrastructure must meet the same bar.

Equally important is intelligence by design. This means performance at scale: GPU-accelerated systems that can train, fine-tune, and serve large models without latency bottlenecks. It also means flexibility—supporting a diverse range of AI workloads, from foundational models to domain-specific agents—all while remaining compliant with local and global regulations.

In an increasingly multi-polar world, BFSI firms must maintain control of their infrastructure while leveraging global innovation. The future of GenAI in financial services will not be powered by a single platform or provider—but by secure, sovereign, and scalable infrastructures that deliver on the dual promise of intelligence and integrity.

Rethinking AI infrastructure is no longer optional. It is the foundation upon which responsible transformation will be built—and sustained.
CXO Spotlight
Gen AI in Financial Services: Myth vs Reality
Sourabh Chitrachar,
Regional Vice President/Head- Asia Technology Strategy & Operations, Liberty Mutual Insurance

As Gen AI gains momentum across financial services, CXOs must cut through the hype to separate signal from noise. A common myth is that Gen AI will displace large swaths of the workforce. In truth, its greatest value lies in augmenting human intelligence—empowering advisors, underwriters, and analysts with faster insights, automated summaries, and decision support.

Another misconception is that Gen AI is turnkey. CXOs must recognize it demands more than just data—it requires robust governance, ethical guardrails, and deep domain integration. Without this, risks like model hallucination, bias, or regulatory misalignment can outweigh benefits.

The real opportunity? Driving measurable outcomes—accelerated onboarding, enhanced fraud detection, and intelligent compliance. Leading firms are embedding Gen AI into specific workflows, not as standalone tools, but as force multipliers aligned with business objectives.

For technology and business leaders alike, success will come not from chasing novelty, but from anchoring Gen AI initiatives in strategy, stewardship, and scale.
Partner Spotlight
Connectivity is the key to successful AI integration for APAC enterprises
Eric Wong,
President, Asia Pacific, Expereo

While AI dominates boardroom agendas across Asia Pacific, there’s a growing concern beneath the surface—networks aren’t ready.

Expereo and IDC’s Enterprise Horizons 2025 report reveals that 94% of global tech leaders say network limitations are holding back AI and data initiatives. APAC leads the concern, with 23% of businesses citing poor internet connectivity as a barrier to AI deployment—the highest globally.

AI demands speed, visibility, and scale. But half of companies in APAC still rely on outdated networks, and 93% of those that didn’t upgrade in the past year have suffered real financial losses due to performance failures.

To ensure AI delivers impact, CIOs in APAC must:

Invest in AI-ready connectivity

Guarantee high-performance application responsiveness

Gain end-to-end visibility across distributed infrastructure

By strengthening their networks, enterprises can unlock AI’s full potential—driving innovation, productivity, and a competitive edge across the region.

Expereo is uniquely positioned to help. With global reach and deep regional expertise, our expereoOne platform delivers intelligent internet, SD-WAN, and SASE—built for performance, visibility, and scale.

We understand what it takes to support large-scale AI initiatives. That’s why leading enterprises trust Expereo to future-proof their infrastructure and turn ambition into action.

Go faster to the future with an AI-ready network. Download Enterprise Horizons 2025 report and together, we can overcome the challenges and seize the opportunities on the horizon. Enterprise Horizons – Expereo

Partner Spotlight
What’s Beyond Lending? How AI & GenAI Will Reshape SEA Banking in 2025
Shivam Sharma,
Senior Product Specialist, Nucleus Software

As Southeast Asia’s financial ecosystem rapidly evolves, banks are moving beyond traditional lending—powered by Artificial Intelligence (AI) and Generative AI (GenAI). The year 2025 marks a pivotal shift where AI is no longer a back-office experiment but a frontline enabler of efficiency, compliance, and customer trust. For SEA’s dynamic banking sector, the question isn’t whether to adopt AI—but how fast and how ethically.

AI as a Strategic Imperative:

Banks in the region are deploying AI to reimagine credit decisioning, streamline operations, and expand financial inclusion. Advanced credit scoring models now go beyond bureau data—leveraging alternative data such as utility payments, mobile usage, and behavioural insights to assess borrower risk. This is a game-changer for unbanked and underbanked populations in SEA, unlocking new growth avenues.

GenAI, meanwhile, is automating loan documentation, underwriting summaries, and even generating personalized loan recommendations in local languages. Voice bots and AI-powered chat assistants are now engaging customers 24/7, ensuring faster responses and better transparency—especially for digital-first borrowers in fast-growing economies like Indonesia, Vietnam, and the Philippines.

Proactive Risk and Compliance:

AI’s real-time fraud detection and predictive analytics are helping banks identify delinquencies before they occur—allowing for early intervention strategies and reducing non-performing loan (NPL) rates. Moreover, automated compliance tools are simplifying regulatory adherence in complex, multi-jurisdictional environments, such as Malaysia and Singapore, where rules are evolving rapidly.

Responsible AI: A Growing Mandate

In SEA, regulators like the Monetary Authority of Singapore (MAS) are already driving responsible AI adoption through frameworks like FEAT (Fairness, Ethics, Accountability, Transparency). This signals a regional push for explainable, auditable, and fair AI—a trend banks cannot ignore.

The 2025 Mandate:

To succeed in 2025 and beyond, banks must:

• Build AI systems that integrate with core platforms and scale across markets.

• Focus on customer education and transparency around AI-driven decisions.

• Prioritize ethical AI to win regulatory approval and consumer trust.

Partner Spotlight
Agentic Trading in Capital Markets: Where Ethics, Risk, and Alpha Collide
Jeff Lim,
Senior Account Director, ASEAN, KX

Agentic AI is reshaping capital markets automation, introducing self-directed systems that execute at speed and scale, but demand new frameworks for oversight, explainability, and risk control. This blog explores the practical and ethical implications of deploying autonomous trading agents, and why human judgment remains essential in managing both opportunity and risk.

1. Defining the autonomy continuum

Traditional algorithmic trading executes rules at scale—but lacks contextual, ethical reasoning. Agentic AI adds adaptability, self learning, and peer coordination. Autonomy ranges from fully independent agents to supervised hybrids. For successful deployment:

Engage traders early: Their market intuition and risk-awareness are vital for shaping intelligent behavior.
Set guardrails: Limit trading scope, enforce risk limits, and invoke human oversight on high value or risky trades.
Backtest exhaustively: Use historical, synthetic, and stress scenarios to probe failure points.
Clarify accountability: Define responsibility for both AI driven actions and human decisions. kx.com
2. Explainability as a non negotiable

Regulated markets demand transparency. “Black box” decisions can’t stand up to scrutiny. To ensure clarity:

Log human readable justifications: Every recommendation or trade must come with a clear rationale.
Track agent interactions: In multi-agent systems, each agent’s role and influence must be identifiable.
Trigger oversight mechanisms: When agents interact or decisions exceed thresholds, human review is mandatory. kx.com
3. Navigating market uncertainty

Markets evolve rapidly—agentic systems must match human adaptability without succumbing to noise. Robust design includes:

Stability mechanisms: Apply reward clipping, statistical bounds, or rule constraints to prevent erratic behavior.
Continuous learning: Utilize reinforcement learning or Bayesian updates to adapt in real time.
Specialized monitoring: Deploy agents focused on order book dynamics, volatility, and sentiment to inform adjustments. kx.com+1findingtheta.com+1
4. The indispensable human angle

Speed is valuable—but context, ethics, and risk lie within human domain. The proper balance:

AI as advisor: Let agents surface signals and suggestions while humans make the final call.
Workflow augmentation: Automate repetitive tasks like sentiment parsing, data ingestion, and formatting.
Human-in-the-loop refinement: Experts evaluate outputs, creating feedback loops that improve AI performance. businesswire.com+5kx.com+5findingtheta.com+5businesswire.com
5. Toward a responsible agentic future

Agentic systems already thrive in constrained environments like high-frequency execution. The next frontier: multi-agent collaboration, real-time learning, and contextual reasoning under strict governance.

But full autonomy in portfolio decisions remains a future step. For now:

Adopt phased deployment: Begin with small tests, limited capital, and tightly defined scope.
Prioritize oversight: Maintain explainability, structured accountability, and human supervision at all times.
Invest in capability building: Teams that strategically combine autonomy and control will lead the next wave of alpha generation.
By mastering agentic AI responsibly, firms don’t just automate—they redefine how alpha is pursued in an ethical, controllable, and sustainable way.

Read more at https://kx.com/blog/agentic-trading-where-ethics-risk-and-alpha-collide/

CXO Spotlight
Rethinking IT Talent in the GenAI Era
Prof Ke-Wei Huang,
Associate Professor, NUS School of Computing,
Executive Director, Asian Institute of Digital Finance,
National University of Singapore (NUS)

As GenAI technologies rapidly evolve, we are witnessing a fundamental shift in the nature of IT work. Tasks once considered core to software engineering—like writing boilerplate code, building simple interfaces, or querying databases—are increasingly automated by tools like GitHub Copilot and low-code platforms. This has major implications for both hiring and talent development.

New IT hires can no longer be defined by general programming ability alone. Instead, two emerging profiles are in highest demand: GenAI-deep technologists who can fine-tune models, build pipelines, and manage LLMOps; and high-agility learners with strong analytical foundations who can adapt quickly to new AI tools and frameworks.

Equally important, existing IT professionals must evolve. The real value now lies not in repetitive tasks, but in working across disciplines—translating domain needs into AI applications, collaborating with non-technical teams, and managing AI-driven workflows and risks. This calls for investment in interdisciplinary fluency, not just technical upskilling or refreshing.

Looking ahead, most AI-driven work will be GenAI + human-in-the-loop—where human oversight, contextual understanding, and ethical judgment remain critical. Talent strategies must align with this hybrid future, reskilling workers to effectively guide, correct, and collaborate with intelligent systems.
CXO Spotlight
Antifragile Financial Systems: Convergence of AI, Cloud and Regulatory Innovation
Ed Bharucha,
Chief Information Officer, Mizuho Securities

The intersection of AI, Cloud technology and regulatory innovation has created unique opportunities within Financial Services, as well as introducing new risks. On the one hand, digital innovation unlocks efficiency and innovation, it also requires building antifragile systems which can withstand shocks and uncertainty.

AI Transformation
While ML/DL techniques have been utilized for years in fraud detection, risk modeling, algorithmic trading etc., the emergence of Gen AI has opened up entirely new use cases, launching AI into the mainstream. McKinsey reports that 78% of organizations surveyed use AI in at least one business function, while 71% regularly use Gen AI in at least one business function. Availability of compute resources and ready to use AI and data services offered by cloud providers has accelerated this transformation, by lowering the technical barriers for implementation.

Embedded Finance
Financial services are being blended seamlessly into apps being used in our daily lives. The super app ecosystem such as that offered by Grab is reshaping our digital experience.

Regulatory Leadership
Singapore’s thought leadership in the regulatory sphere, introducing progressive initiatives such as the National Digital Identity (NDI) platform and FinTech Regulatory Sandbox framework have served a catalyst for innovation.

Security Imperatives
Security remains a key and growing concern in this hyper-connected world, with requirements to protect legacy and modern technology stacks. Increasingly sophisticated attacks enabled by careful social engineering, advancements in Gen AI and emergence of agentic AI systems requires elevated levels of observability, access control and combining AI driven automation with human oversight. As quantum computing capabilities progress, PQC (post-quantum cryptography) becomes essential to safeguard data and digital assets.

Human Capital
Technology alone will not drive transformation. Developing an adaptable resource pool with modern technical skills, combined with critical thinking and ability to collaborate across functions would be a key to success. This warrants changes across education, hiring practices and professional on-the-job development. Human capital development is as important as investment in technology.
CXO Spotlight
Every company might be an IT company, more or less, in the AI era
Frankie Shuai,
APAC CISO, DWS Group (Asset Management subsidiary of Deutsche Bank)

Some years ago, when I worked in Citibank, Citibank then group CEO Mr. Michael Corbat said, “We see ourselves as a technology company with a banking license”.

Our Singapore DBS bank’s group CEO (2009-2025) Mr. Piyush Gupta said similar thing when he answered the question during interview why DBS was increasingly recognized as a global leader in digital transformation. He said, “We act less like a bank and more like a tech company”.

NVIDIA’s CEO Jensen Huang at the recent Consumer Electronics Show (CES) in Las Vegas this Jan said “In a lot of ways, the IT department of every company is going to be the HR department of AI agents in the future.” in his keynote.

I can’t agree any more on their insights. And personally, I believe not only banks, but every company might be an IT company, more or less, in the AI era. CIOs, CTOs, CDOs, CISOs, etc. would be playing the pivot enabling roles to facilitate every line of business in the company to unlock the potential value of emerging technology like AI in the safe, sound, secure and also compliant manner.

I am eager to see all these trends and insights about AI bringing to every industry, especially our financial industry, in the upcoming amazing IDC 20th Asian Financial Services Congress & Awards on 17 Jul at Singapore MBS. Will you join me?
CXO Spotlight
Reimagining Digital Transformation: AI, Equity, and the Future of Work
Muhammad Suhada,
Chief Technology Officer, PT. MNC Kapital Indonesia Tbk

As Asia emerges as a powerhouse in global finance, our region finds itself at the crossroads of innovation and responsibility. The fast rise of AI, data, and digital tools offers huge benefits, but how we share those benefits will shape the future of finance across our region.

AI gives us powerful tools for personalization, automation, and smarter decision-making. But without a strong focus on fairness, it could widen the gap. To keep growing in the right way, financial institutions in Asia Pacific need to see digital transformation not just as a tech upgrade, but as a chance to create value for everyone. That means investing in strong data systems, flexible cloud platforms, and clear, responsible rules around how AI is used.

This also has big implications for the future of work. As automation grows, we must reskill teams, redesign roles, and make sure people grow alongside technology and not get left behind.

We need to start thinking of platforms as shared infrastructure, partnerships as a way to drive impact, and performance as something that includes everyone. The future of finance isn’t just smart and fast, it must also be fair.

Analyst Spotlight
How can the BFSI Sector Keep Their Growth Momentum Going in the AI Everywhere Era?
Dr. Ashish Kakar,
Research Director, Financial Insights, IDC Asia/Pacific

Asian banks need technology investment to continue their growth momentum. The industry is robust, with nineteen of the top fifty global banks being Asia-based. Unless these banks continue to invest in emerging technologies to drive innovations and productivity, they could be exposed to greater resilience risks in the longer term.

The Asian banking world has been challenging and is now fast evolving due to geopolitical tensions, interest rates under stress, inclusion and microfinance needs, consumers’ increasing demand for hyper-personalized services, a deteriorating risk environment, operational efficiency challenges, and, on top of that, increasing regulatory oversight.

Perceived risks and their business disruption

Each of these challenges require technology investments. In this context, the bank must decide on what its priority investments will be. Let’s briefly review some of these bets that could be potential winners in 2025 and beyond.

Banks need to be agile in their transformation initiatives.

Agility requires a mix of technology infrastructure and a build strategy that enables fast deployment of new capabilities. The build strategy could be a platform strategy, microservices architecture enabling fast integration of external capabilities, or a mix of adopt and build. What fits best for each capability requires a fine decision that is both an art and a science.

What is needed is an infrastructure that facilitates innovation?

All of us who have struggled with the “Technology Bill of Material” understand that the legacy infrastructure setup processes are in months in an age where innovation, POC, and A/B tests are required within days. That is where cloud computing is important, and it must be in the mix. Cloud computing is also important as more and more of the enhancements require extensive data computing.

While agility helps build an architecture for fast innovation deployment, banks still need to decide on enhancements. Three factors are coming into play in today’s digital age. These are functionalities that increase revenue, automation opportunities to improve efficiency, and, finally, build trust through resiliency and avoiding financial crime.

In IDC’s survey (Jun’24), 41% of the banks stated that they require new products and services to generate revenues.

Launching any new product requires data, which may comprise of a mix of synthetic data generation and data management techniques.

It also requires effort to build the right models, whether that may be techniques like graph and RAG or models such as agentic, generative, predictive, or interpretative. Servicing, operational excellence, and risk management remain the main areas of deployment. Embedded finance and new product development are good use cases for revenue enhancements through AI deployment.

Climate risk is also emerging as a real threat, with project risk being affected and personal credit worsening with extreme climates impacting an individual payment’s ability and propensity. Geospatial data-based solutions could be a possible investment that will pay off in the long run.

Placing these bets could eventually lead to positive leverage for BFSI players.
IDC Financial Insights Innovation Awards (FIIA)
Important Dates:

The final deadline to submit nominations – June 15, 2025

Winners to be individually notified by mail – July 5, 2025 Onwards

Click Here to Submit Nomination

Award Categories

Most Innovative Bank/Insurer in Asia
Most Resilient Banks/Insurers in Asia
Asia’s Leaders in Customer Engagement
Asia’s Leaders in Infrastructure Modernization
Asia’s Leaders in Intelligent Banking/Insurance
Asia’s Leaders in Sustainable Finance

Singapore FinTech Association

Singapore FinTech Association is a cross-industry, non-profit initiative intended to be a platform designed to facilitate collaboration between all market participants and stakeholders in the FinTech ecosystem. Our goal is to promote engagement in the FinTech ecosystem through events, membership programs, and knowledge sharing.

Lenovo

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, , and read about the latest news via our StoryHub

Privacy Policy: www.lenovo.com/sg/en/privacy/

Expereo

Expereo empowers global companies to be future-ready. Meeting the business demands of today, and accelerating performance and growth for tomorrow.

With unmatched global reach, Expereo deliver secure, global network connectivity to enterprise and government sites in over 190 countries.

Wherever you do business, we can help you advance into the digital future.

Download Enterprise Horizons 2025 report here: Enterprise Horizons 2025: A Glimpse Into the Future – Expereo

Lenovo is a global technology powerhouse, ranked at 217 in the Fortune Global 500, and a $62 billion revenue company that employs 77,000 people worldwide, focused on delivering “smarter technology for all”. Building on our success as the world’s number one PC maker, Lenovo is expanding its research into growth areas to advance “New IT” technologies (client, edge, cloud, network, and intelligence).

Singapore FinTech Association is a cross-industry, non-profit initiative intended to be a platform designed to facilitate collaboration between all market participants and stakeholders in the FinTech ecosystem. Our goal is to promote engagement in the FinTech ecosystem through events, membership programs, and knowledge sharing.