Archives: Agenda

Having suitable test data is key to successfully orchestrate a testing project. The banking industry, with its inherent nature of sensitive data, poses challenges to testing professionals. While there are indeed scenarios where obtaining suitable test data is almost impossible, there are more scenarios than it appears to be where, by using little bit of innovative thinking, we can obtain necessary test data. To even expedite such an approach, we can successfully use AI. In this talk, Indranil will demo how his team has successfully used AI to generate necessary test data on demand and automated the whole process.

• How can finance teams prepare their data?
• De-silo your data legacy landscape
• Spotting and preventing generative AI hallucinations
• Use case examples across the financial services ecosystem

• How can you ensure the responsible use of AI?
• Complying with evolving regulations
• Can AI be used to monitor and control itself, creating a cycle of ethical compliance?
• Building a competitive advantage on the responsible use of data and ethical AI
• Prioritising people over systems

• How is AI transforming brand management?
•  Building AI-powered data pipelines to enhance real customer experience
•  Addressing security and data minimisation in AI
•  How is AI rewriting the customer experience in finance?

Since the release of ChatGPT, Generative AI has dominated the technological discussion. However, GenAI is still only a small piece of the overall Data and AI landscape, and few organizations have made progress in leveraging this technology efficiently. We will discuss how companies who have been successful in their AI journeys have done so and the key factors that need to be considered for successfully utilizing the full breadth of data and AI technologies

• How do the national legal and regulatory frameworks differ?
• Implementing government-led safety frameworks
• How is the finance industry navigating AI safety regulations in its daily operations?
• Is an AI licensing regime possible?

• Undergo a significant transformation towards AI-driven operations, institutions face the dual challenge of rapid innovation and maintaining strong security.
• Practical framework for deploying AI agents that transform traditional banking processes while adhering to strict compliance standards.
• Drawing from real-world implementations of AI agents revolutionizing risk assessment and customer service.
• Gain actionable insights for turning AI’s potential into tangible business results in the highly regulated financial sector