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Harnessing AI for Economic Transformation

AI-driven economic equity: Pioneering efficient and fair financial systems

As global economies face the challenges of rapid technological change, escalating debt and growing economic disparity, the integration of Artificial Intelligence (AI) into financial systems presents both significant opportunities and complex obstacles. The potential of AI to enhance both efficiency and inclusivity in financial transactions is clear, yet transitioning from outdated financial practices to innovative, tech-driven models involves substantial challenges. These include the need for major infrastructural updates, heightened data privacy concerns, and stringent regulatory demands.

The systematic integration of AI into economic frameworks is essential to not only enhance capital efficiency but also ensure that advancements are equitably beneficial. AI has the potential to significantly address issues like embedded credit systems that disproportionately affect emerging econonmies, lower socio-economic groups and the restrictive legacy of outdated financial systems.

This masterclass will focus on utilising AI to foster a fair and efficient economic transformation. It will cover the latest AI and economic modeling trends, practical AI integration strategies in financial systems, and ways to overcome existing barriers. Participants will explore real-time economic optimizations and the ethical implementation of AI technologies, aiming to create inclusive financial platforms that boost social mobility and economic equity. This session will provide attendees with the insights and tools needed to drive a shift towards more equitable and valuable economic systems powered by AI.

One Summit, Multiple Opportunities

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Key issues to be covered

The FAIR Economy - A new paradigm

Implementing AI for real-time financial operations

Driving growth through responsible AI

Future projections and strategy formulation

Who will attend?

The programme is designed for chief executives and senior professionals from the following areas:

Senior IT and technology officers from traditional and new-age financial institutions seeking to integrate AI into their banking systems.

Innovation and strategy leaders from banks, insurance companies, and asset management firms looking to understand and implement AI-driven solutions.

Financial technology specialists from sectors such as AI, blockchain, data analytics, and cloud services, who aim to apply their expertise in a banking context.

CIOs and tech developers from financial technology start-ups and established financial service providers looking for cutting-edge integration strategies.

Policy makers and regulatory officials involved in overseeing and shaping the frameworks within which AI technologies are implemented in the financial sector.

Harnessing AI for Economic Transformation

22 May 2025, Jakarta, Indonesia

08:30 – 09:00

Registration & Morning Networking

09:00 – 09:45

The FAIR Economy - A new paradigm

This session explores the foundational principles of the FAIR Economy, highlighting the shift from traditional financial systems to AI-enhanced processes that promote economic equity and efficiency.

  • Examine the evolution from time-bound financial practices to dynamic, technology-driven models.
  • Discuss how AI can rectify economic disparities by altering how financial transactions and credit are managed.
  • Overview of the core concepts behind Finance & AI Responsibly (FAIR) and their relevance to contemporary economic challenges.

09:45 – 10:30

Implementing AI for real-time financial operations

Focus on the practical integration of AI within financial systems, showcasing real-world applications that exemplify the transition to more efficient and transparent economic practices.

  • Analyse examples where AI has successfully enhanced financial operations, emphasizing the methodologies and outcomes.
  • Identify common hurdles such as system compatibility and legacy constraints, discussing strategies to overcome them.
  • Explore how AI technologies can streamline processes like payroll and credit allocations in real-time.

10:30 – 11:00

Tea / Coffee Break

11:00 – 11:45

Driving growth through Responsible AI

Delve into the ethical implications and growth potential of integrating AI into financial systems, ensuring responsible practices that align with long-term economic sustainability.

  • Considerations for developing AI solutions that are transparent, fair, and accountable.
  • Discuss the evolving landscape of regulations that govern the deployment of AI in finance.
  • Explore how predictive analytics and AI can be utilized in strategic economic decision-making.

11:45 – 12:30

Future projections and strategy formulation

This session projects into the future of AI in economics, discussing strategic approaches to harness it for scalable and sustainable financial growth.

  • How AI tools can be used for economic forecasting and what this means for policy and strategy.
  • Discuss comprehensive strategies for integrating AI into financial systems at a national or global scale and how to support them with the right metrics.
  • A look at the ethical considerations and practical challenges of scaling AI in financial systems, including privacy concerns and the digital divide.

12:30– 14:00

Networking Luncheon

Harnessing AI for economic transformation

22 May 2025, Jakarta, Indonesia
  • 08:30 – 09:00

    Registration & Morning Networking

  • 09:00 – 09:45

    The FAIR Economy - A new paradigm

    This session explores the foundational principles of the FAIR Economy, highlighting the shift from traditional financial systems to AI-enhanced processes that promote economic equity and efficiency.

    • Examine the evolution from time-bound financial practices to dynamic, technology-driven models.
    • Discuss how AI can rectify economic disparities by altering how financial transactions and credit are managed.
    • Overview of the core concepts behind Finance & AI Responsibly (FAIR) and their relevance to contemporary economic challenges.
  • 09:45 – 10:30

    Implementing AI for real-time financial operations

    Focus on the practical integration of AI within financial systems, showcasing real-world applications that exemplify the transition to more efficient and transparent economic practices.

    • Analyse examples where AI has successfully enhanced financial operations, emphasizing the methodologies and outcomes.
    • Identify common hurdles such as system compatibility and legacy constraints, discussing strategies to overcome them.
    • Explore how AI technologies can streamline processes like payroll and credit allocations in real-time.
  • 10:30 – 11:00

    Tea / Coffee Break

  • 11:00 – 11:45

    Driving growth through Responsible AI

    Delve into the ethical implications and growth potential of integrating AI into financial systems, ensuring responsible practices that align with long-term economic sustainability.

    • Considerations for developing AI solutions that are transparent, fair, and accountable.
    • Discuss the evolving landscape of regulations that govern the deployment of AI in finance.
    • Explore how predictive analytics and AI can be utilized in strategic economic decision-making.
  • 11:45 – 12:30

    Future projections and strategy formulation

    This session projects into the future of AI in economics, discussing strategic approaches to harness it for scalable and sustainable financial growth.

    • How AI tools can be used for economic forecasting and what this means for policy and strategy.
    • Discuss comprehensive strategies for integrating AI into financial systems at a national or global scale and how to support them with the right metrics.
    • A look at the ethical considerations and practical challenges of scaling AI in financial systems, including privacy concerns and the digital divide.
  • 12:30– 14:00

    Networking Luncheon

Harnessing AI for Economic Transformation

22 May 2025, Jakarta, Indonesia
  • 08:30 – 09:00

    Registration & Morning Networking

  • 09:00 – 09:45

    The FAIR Economy - A new paradigm

    This session explores the foundational principles of the FAIR Economy, highlighting the shift from traditional financial systems to AI-enhanced processes that promote economic equity and efficiency.

    • Examine the evolution from time-bound financial practices to dynamic, technology-driven models.
    • Discuss how AI can rectify economic disparities by altering how financial transactions and credit are managed.
    • Overview of the core concepts behind Finance & AI Responsibly (FAIR) and their relevance to contemporary economic challenges.
  • 09:45 – 10:30

    Implementing AI for real-time financial operations

    Focus on the practical integration of AI within financial systems, showcasing real-world applications that exemplify the transition to more efficient and transparent economic practices.

    • Analyse examples where AI has successfully enhanced financial operations, emphasizing the methodologies and outcomes.
    • Identify common hurdles such as system compatibility and legacy constraints, discussing strategies to overcome them.
    • Explore how AI technologies can streamline processes like payroll and credit allocations in real-time.
  • 10:30 – 11:00

    Tea / Coffee Break

  • 11:00 – 11:45

    Driving growth through Responsible AI

    Delve into the ethical implications and growth potential of integrating AI into financial systems, ensuring responsible practices that align with long-term economic sustainability.

    • Considerations for developing AI solutions that are transparent, fair, and accountable.
    • Discuss the evolving landscape of regulations that govern the deployment of AI in finance.
    • Explore how predictive analytics and AI can be utilized in strategic economic decision-making.
  • 11:45 – 12:30

    Future projections and strategy formulation

    This session projects into the future of AI in economics, discussing strategic approaches to harness it for scalable and sustainable financial growth.

    • How AI tools can be used for economic forecasting and what this means for policy and strategy.
    • Discuss comprehensive strategies for integrating AI into financial systems at a national or global scale and how to support them with the right metrics.
    • A look at the ethical considerations and practical challenges of scaling AI in financial systems, including privacy concerns and the digital divide.
  • 12:30– 14:00

    Networking Luncheon

Trainer

Steve Monaghan
General Partner, FinMirai; Former Chief Innovation Officer, DBS

Steve Monaghan is a distinguished innovator and executive in financial services and technology. He is a General Partner at FinMirai and holds board positions at Rakbank and other firms. Steve has led innovation at major financial institutions like DBS Bank and AIA, overseeing significant investments in digital banking and AI. He founded innovation groups that drove advancements in payments, big data, and SME services, and managed over $220 million in tech-focused investments. With six patents to his name, including in mobile payments and digital banking, Steve's expertise spans corporate leadership, fintech, and digital transformation. He is a private investor in quantum computing, artificial intelligence, life sciences, healthtech, and fintech. His role on the investment committee at True Global Ventures further highlights his commitment to pioneering technologies like quantum computing and AI, making him an authoritative voice for the AI Masterclass.

  • For sponsorship enquiries, please contact
  • For agenda and speaking opportunities, please contact

For sponsorship enquiries, please contact

For agenda and speaking opportunities, please contact