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Introducing AI into Banking Technology Architecture

AI Enhanced Banking: Transforming Technology Infrastructure

In the rapidly evolving world of financial technology, artificial intelligence (AI) has emerged as a game-changer, offering unprecedented opportunities for banks to innovate and enhance their operational efficiencies. Globally, banks are harnessing AI to transform customer experiences, streamline operations, and bolster risk management. However, integrating AI into existing bank technology architectures presents significant challenges, including compatibility with legacy systems, ensuring data privacy, and navigating complex regulatory environments.

This masterclass is designed to address these challenges head-on. Led by industry experts, the session will delve into the latest trends in AI and banking, discuss the integration of AI into current tech frameworks, and explore practical solutions to overcome the hurdles facing today's banks. Attendees will leave equipped not only with a deeper understanding of AI applications in banking but also with actionable insights on driving their institutions forward in the digital age.

One Summit, Multiple Opportunities

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Key issues to be covered

Foundations of AI in
banking architecture

Practical integration
strategies

AI-driven transformation
and innovation

Looking ahead: Scalability and ethical considerations

Key issues to be covered

Foundations of AI in banking architecture

Practical integration strategies

AI-driven transformation and innovation

Looking ahead: Scalability and ethical considerations

Key issues to be covered

Foundations of AI in banking architecture

Practical integration strategies

AI-driven transformation and innovation

Looking ahead: Scalability and ethical considerations

Skills to be Gained

Understanding AI applications:
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Gain a solid foundation in how AI technologies can be applied within bank technology architectures to drive efficiency and innovation.

Integration techniques:
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Learn specific strategies for embedding AI into existing banking systems, focusing on both the technological and strategic aspects.

Navigating challenges:
image

Develop skills to tackle common challenges in AI adoption, such as data security, system compatibility, and adherence to regulatory standards.

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.

Introducing AI into banking technology architecture

22 May 2025, Jakarta, Indonesia

08:30 – 09:00

Registration & Morning Networking

09:00 – 09:45

Foundations of AI in banking architecture

Dive into the essentials of AI in banking, exploring its critical role and integration into existing technology architectures. Understand how aligning AI with strategic goals can revolutionize banking operations and planning.

  • Introduction to AI technologies and their relevance to banking systems.
  • Overview of current bank technology architectures and the potential for AI integration
  • Discussing the strategic alignment of AI with business goals and technology roadmaps.

09:45 – 10:30

Practical integration strategies

Learn through real-world examples how AI is seamlessly integrated into legacy banking systems. This session covers practical integration techniques, key challenges faced, and strategies for effective AI project management in the banking sector.

  • Detailed exploration of how AI can be incorporated into legacy systems and digital platforms.
  • Case studies on banks that have successfully integrated AI into their systems, focusing on both the challenges and solutions.
  • Guidelines for AI project management in banking environments.

10:30 – 11:00

Tea / Coffee Break

11:00 – 11:45

AI-driven transformation and innovation

Explore innovative AI technologies like machine learning and robotics, and their transformative impacts on banking architecture. Understand AI's role in enhancing risk management, customer analytics, and compliance.

  • Examination of specific AI technologies such as machine learning, natural language processing, and robotics, and their application in banking tech architecture.
  • How AI contributes to risk management, customer data analytics, and regulatory compliance

11:45 – 12:30

Looking ahead: Scalability and ethical considerations

Focus on scaling AI technologies in banking while adhering to ethical standards. Discuss strategies for future-proofing AI implementations and maintaining transparency and fairness in AI applications.

  • Planning for scale: Ensuring AI systems in banking can grow with the institution and adapt to new challenges and technologies.
  • Ethical considerations and governance of AI within bank technology frameworks, focusing on data privacy, bias mitigation, and transparency

12:30– 14:00

Networking Luncheon

Introducing AI into banking technology architecture

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

    Registration & Morning Networking

  • 09:00 – 09:45

    Foundations of AI in banking architecture

    Dive into the essentials of AI in banking, exploring its critical role and integration into existing technology architectures. Understand how aligning AI with strategic goals can revolutionize banking operations and planning.

    • Introduction to AI technologies and their relevance to banking systems.
    • Overview of current bank technology architectures and the potential for AI integration
    • Discussing the strategic alignment of AI with business goals and technology roadmaps.
  • 09:45 – 10:30

    Practical integration strategies

    Learn through real-world examples how AI is seamlessly integrated into legacy banking systems. This session covers practical integration techniques, key challenges faced, and strategies for effective AI project management in the banking sector.

    • Detailed exploration of how AI can be incorporated into legacy systems and digital platforms.
    • Case studies on banks that have successfully integrated AI into their systems, focusing on both the challenges and solutions.
    • Guidelines for AI project management in banking environments.
  • 10:30 – 11:00

    Tea / Coffee Break

  • 11:00 – 11:45

    AI-driven transformation and innovation

    Explore innovative AI technologies like machine learning and robotics, and their transformative impacts on banking architecture. Understand AI's role in enhancing risk management, customer analytics, and compliance.

    • Examination of specific AI technologies such as machine learning, natural language processing, and robotics, and their application in banking tech architecture.
    • How AI contributes to risk management, customer data analytics, and regulatory compliance
  • 11:45 – 12:30

    Looking ahead: Scalability and ethical considerations

    Focus on scaling AI technologies in banking while adhering to ethical standards. Discuss strategies for future-proofing AI implementations and maintaining transparency and fairness in AI applications.

    • Planning for scale: Ensuring AI systems in banking can grow with the institution and adapt to new challenges and technologies.
    • Ethical considerations and governance of AI within bank technology frameworks, focusing on data privacy, bias mitigation, and transparency
  • 12:30 – 14:00

    Networking Luncheon

Trainer

axel-winter
Axel Winter
Chief Digital & Technology Officer, Partner, & Advisor

Axel Winter is a highly experienced technology leader with strong hands-on experiences in the banking, retail and start-up worlds. He was previously Global Head of Enterprise Architecture & Technology Strategy for Standard Chartered Bank and had similar roles at GE Money and Cisco Systems. He has consulting experience at Accenture and Deloitte and has recently founded a corporate start-up partnering with Grab and JD.Com. He is currently the Chief Digital Officer for a luxury mall operator and advises start-ups in asset tokenization and eCommerce. His expertise in technology infrastructure for banks and large businesses makes him a valuable contributor.

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  • For agenda and speaking opportunities, please contact

For sponsorship enquiries, please contact

For agenda and speaking opportunities, please contact