FinTech LIVE Singapore 2025: Insights From Google Cloud
At FinTech LIVE Singapore, Maxim Afanasyev, Financial Services Industry Lead for Asia-Pacific and Japan at Google Cloud, explored the latest AI and data trends shaping the financial services industry.
With AI adoption accelerating across banks and insurers, Maxim emphasised the importance of leveraging data not just for technological advancement but to solve real business challenges.
Digital transformation: More than infrastructure
Maxim highlights that financial services is one of the fastest-growing industries for Google Cloud, with nearly every major financial institution in the Asia-Pacific region and globally already utilising cloud technologies.
However, he stresses that the real transformation lies beyond simple cloud adoption - businesses must focus on how they use AI and data to drive competitive advantage.
Historically, cloud adoption in financial services was focused on migrating legacy systems to reduce infrastructure costs.
Maxim explains that while this remains relevant, the real value now lies in using AI and data to transform business operations.
Banks and insurers that fail to integrate AI-driven strategies risk falling behind, as digital leaders continue to capture market share.
He notes that Google Cloud differentiates itself from legacy cloud providers by prioritising business transformation over infrastructure migration.
Instead of focusing solely on cost savings, financial institutions must leverage cloud technologies to enhance customer experiences, prevent financial crime and improve operational efficiency.
Three key areas of AI adoption
Maxim outlines three primary areas where financial institutions are implementing AI:
- Enhancing customer engagement and revenue growth – AI-driven tools are enabling hyper-personalisation, improving cross-selling and upselling strategies and delivering deeper customer insights. Banks are increasingly using AI to tailor financial products and services to individual customer needs.
- Operational efficiency and automation – AI is streamlining processes such as customer service chatbots, knowledge searches and claims processing. A key example is AI-powered automation in health insurance claims, helping insurers detect fraud and inefficiencies in medical billing.
- Risk management and financial crime prevention – AI is revolutionising fraud detection and anti-money laundering (AML) efforts. Google Cloud, in collaboration with HSBC, has developed AI-driven transaction monitoring that significantly reduces false positives while improving the detection of illicit activities.
The rise of generative AI in financial services
Generative AI is rapidly gaining traction in the financial sector.
According to independent research, Maxim explains that 26% of surveyed financial institutions have already had Gen AI use cases in production for over a year, while an additional 37% have implemented them more recently.
A further 19% plan to go live within months, indicating that nearly 80% of the industry is embracing this technology.
The shift to generative AI is reducing reliance on IT teams, as business stakeholders can now directly interact with AI models using natural language interfaces.
This democratisation of AI allows financial professionals to create and deploy AI-powered solutions faster, with some institutions implementing models in under six months.
Real-world AI applications in financial services
Maxim shares several case studies demonstrating AI’s impact:
- Financial document intelligence – AI-powered systems help wealth managers and financial analysts extract insights from market data and client portfolios, enabling more informed investment decisions.
- Health insurance claims processing – AI models developed in partnership with insurtech companies are improving fraud detection, reducing unnecessary medical claims, and ensuring accurate patient billing.
- AML and fraud prevention – AI-driven transaction monitoring has reduced false positives by 60% while increasing true positive detections by up to four times, significantly improving banks' ability to combat money laundering.
A business-first approach to AI adoption
Maxim concluded by urging financial institutions to prioritise solving business challenges over focusing solely on technology. AI adoption should be driven by business needs, with stakeholders actively involved in defining problem statements and leveraging AI for meaningful impact.
As AI and data continue to reshape financial services, institutions that integrate AI into their core strategies will be best positioned for long-term success.
Essential diary dates for 2025
Discover the essential diary dates for FinTech Magazine.
To follow FinTech LIVE on LinkedIn, click here.
To enter for the Global FinTech Awards, click here.
- FinTech LIVE Dubai | 6 May
- FinTech LIVE New York | 17 June
- FinTech LIVE London | 7-8 October
- The Global FinTech Awards | 7 October
Explore the latest edition of FinTech Magazine and be part of the conversation at our global conference series, FinTech LIVE.
Discover all our upcoming events and secure your tickets today.
FinTech Magazine is a BizClik brand
