Archives: Agenda

• 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

• How to Implement and use AI GitHub- Co Pilot to improve technology and customer experience
• Translating technical data results and successful AI use case in Investment banking

This session explores how data and artificial intelligence (AI) are transforming the way financial services engage with customers to deliver better outcomes.

Attendees will gain insights into leveraging AI-powered tools such as conversation intelligence to enhance CX through data driven personalisation, real-time interactions and the use of data to gain deeper insights into customers behaviours.

We will also dive into how technology can help to address industry challenges such as regulations, employee engagement and customer expectations.