Archives: Agenda

• Data is the foundation to realise the promise of AI;
• Core challenges for financial institution to harness the data;
• Aligning effectively data management with business objectives;
• Ensuring stakeholder support and meeting the needs of the final consumer.

• Use of NLP to structure data
• Enhanced analysis of client trends, behaviour, etc
• LLM/chatbot ‘helpers’

• Pinpointing challenges of reporting, claims and data collection in Insurance
• Investigating how Insurance is dealing with fraud detection
• How far behind is the Insurance sector in using AI?
• Discussing developments of AI use in various functional fields

• Battling against deepfake, voice detection and manipulative techniques to threaten customers and business in Finance
• Who has the key to decode and identify between a truthful and fraud transaction?
• Accuracy and potential prospects of AI in identity verification
• Can biometric authentication help bring back trust of customers and overcome challenges of fraud?

• Targeting transformational and lasting value from AI, no matter the hype
• Crafting creative and productive roles across the organisation through Human-AI synergy
• Seeking ROI: Real-world applications of GenAI, AI Automation, and Machine Learning for business value
• How are industry trends influencing business decisions in a generative era?
• What are the essentials of leadership in AI

•Fix the basics to build a new way of working
•Automation and AI use cases – now and what’s next
•Understanding where you are to help you get there

• Driving engineering efficiency
• Solving your biggest application development challenges by leveraging autonomous AI
• Exploring the next generation of AI for code

• Enhancing regulatory compliance through AI
• AI in risk management and oversight
• Challenges and ethical considerations in AI-driven governance