agenda

agenda

The Essentials of AI Innovation in Risk Management | Agenda

Agenda timing is in HKT/SGT

08:4509:00

Registration

09:00 - 10:00

09:0010:00

Identifying use cases for AI

09:00 - 10:00

  • In what areas is AI most effective 
  • Stress testing, early warning capability
  • Assessing the availability and types of data
  • Regulatory incidence associated with a particular area 
  • Is the data usable?

10:0010:15

Morning break

09:00 - 10:00

10:1511:15

AI implementation roadmap

09:00 - 10:01

  • Identify the use case
  • Match to process
  • Implementation project
  • Scaling across
  • Identifying any skill shortages
  • Creating a holistic AI strategy

11:1511:15

End of Day 1

09:00 - 10:00

08:4509:00

Registration

09:00 - 10:00

09:0010:00

Preparing your data for AI and ML

09:00 - 10:01

  • Mitigating bias and error
  • Developing an appropriate data foundation for AI
  • Continual maintenance of data quality
  • Ethical considerations
  • Finding the right sources of data

10:0010:15

Morning break

09:00 - 10:00

10:1511:15

Group discussion: creating a culture that supports AI innovation

09:00 - 10:00

  • In a period of increased cost how can you still encourage innovation
  • Structures and working groups that encourage innovation
  • Common mistakes

11:1511:15

End of Day 2

09:00 - 10:00

08:4509:00

Registration

09:00 - 10:00

09:0010:00

AI and operational risk

09:00 - 10:00

  • Current operational risk challenges
  • NLP in incident categorisation
  • Building risk taxonomies for risk libraries
  • Digitisation
  • Potential operational risks associated with AI tools

10:0010:15

Morning break

09:00 - 10:00

10:1511:15

AI - innovating with confidence

09:00 - 10:00

  • AI target operating models
  • AI model validation
  • Risk & control frameworks
  • Ethical AI

11:1511:15

End of Day 3

09:00 - 10:00

08:4509:00

Registration

09:00 - 10:00

09:0010:00

AI and regulation

09:00 - 10:00

  • Opacity of the black box
  • Use of AI in areas of high regulation
  • Is this uncertainty inhibiting innovation?
  • Council of Europe guideline for AI and data protection
  • Leveraging historical data

10:0010:15

Morning break

09:00 - 10:00

10:1511:15

Case study: portfolio optimisation tools

09:00 - 10:00

  • Standard portfolio optimisation analytic techniques
  • Automated and semi-automated advisory activity
  • AI across the rest of the AI value chain 

11:1511:15

End of course

09:00 - 10:00