- Enabling a deep understanding of unique business contexts: How AI is helping financial institutions unlock operational advantages and enhance customer experience.
- Transforming work with AI: How to create an AI-first culture, from automation of low-value tasks to increased productivity and revenue generated per employee.
- Navigating AI challenges: Addressing the complexities of AI transformation, understanding enterprise context, driving successful change management, and doing it all securely.
Archives: Agenda
THEME 2: Enhancing Your Data and Automation Stack Strategies
Keynote: Cognitive Parallels: How Generative AI Mimics Human Cognitive Processes
Breaking the barriers to AI mimicking creativity, reasoning, pattern recognition, and where it diverges.
Morning Networking Break
Dragon’s Den
A panel of the industry’s most sought-after solution providers. Set the scene with a 60 second introduction and insight into their products and services. Visit the booths in the exhibition hall for more details and services!
Representative of Camunda
Representative of Expleo
Keynote Address: Fortifying for the Future: AI x Cybersecurity in APAC’s Financial Sector
- How is AI revolutionizing threat mitigation, detection and response in financial services?
- Balancing AI risks with the advantages of innovative tools including ML and LLMs
- Developing strategies to enhance decision making
- Building vigilance and security preventatives
Fireside Chat: Preparing A Robust AI Governance Framework
- Accelerating AI literacy and capabilities to enhance AI adoption
- How to ensure employees are compliant and risk-vigilant
- What can we learn from the EU AI Act and what will the impact be in APAC?
- Mastering risk management and ethical guidelines to become proficient
Keynote Address: Industry trends impacting 2026 and beyond for Leaders in Financial Services Overseeing Use of AI
Registration
Closing Keynote: Exploring live cases of synthetic data to successfully enhance AI and large language models
•Learning how to create quality and diverse synthetic data to produce fairer and effective results
•How are you teaching your AI to output data and become more robust?
•Examples of synthetic data implementations to enhance AI and LLMs
•Scope to development and reaching strategy goals