25 - 26 June, 2019 | Millennium Gloucester Hotel London Kensington, London, United Kingdom

Agenda Day 2

8:30 am - 9:00 am Registration and Coffee

9:00 am - 9:15 am Chairperson's Welcome

Alasdair Anderson, Advisor & Consultant at A2Z-CM

Alasdair Anderson

Advisor & Consultant

9:15 am - 9:45 am Leveraging Advanced Analytics & AI to Exploit Data and Improve Organisational Outcomes

  • Market snapshot: What is happening in the market right now and how is it anticipated to change in the future
  • Department overview and objectives: Collecting, exploring, analysing and managing quality data to improve organisational outcomes
  • Challenges of operating in a public organisation: Demonstrating ROI, culture and change management
  • Find and fix: Exploring regtech and suptech that can solve the bank’s unique problems
  • Turning fun proofs of concept into organisation wide solutions
Peter Thomas, Senior Manager, Regulatory Technology at Bank of England

Peter Thomas

Senior Manager, Regulatory Technology
Bank of England

9:45 am - 10:15 am Overcoming the Biggest Obstacle to the Adoption of ML and AI

  • Examining some of the common reasons the ML and AI projects fail in big organisations
  • Unpacking the cultural and organisational obstacles to successful deployment
  • Looking at how to move quickly from rapid prototyping to full scale production
  • The destructive impacts of over-hyping technology
Martin Thorn, Senior Manager – Decisioning Analytics & AI at CYBG

Martin Thorn

Senior Manager – Decisioning Analytics & AI

10:15 am - 10:45 am Morning Coffee and Networking Break

10:45 am - 11:15 am Scaling Advanced Analytics and AI Projects throughout the Enterprise

  • Highlighting the benefits of AA &  AI scalability: Speed and quality
  • Identifying and selecting the right AI pilot projects and implementing them effectively
  • Finding the right partner: Experience with scaling up, flexibility and AI expertise
  • Successfully transitioning from proof of concept to full scale production
  • Continuously measuring success and optimisation the project
Neil Taylor, Head of Data & Systems at Liv-Ex

Neil Taylor

Head of Data & Systems

  • What are the fundamental stages an organisation will go  through on their journey to scale AA & AI projects
  • How can you ensure the right culture, skills and leadership team are driving new initiatives?
  • How do you build the business case, secure buy-in and secure budget?
  • How do you ensure the right use cases are chosen to build value quickly with your stakeholders?
  • What are the common pitfalls and obstacles that keep AA & AI projects from progressing to through to the next stage
  • How can you overcome specific integration, security and support challenges?
  • What tips can you share to scale successful projects?
  • What should be considered when selecting technology suppliers? 
  • How do you measure your organisations progress with AA & AI projects?
Martin Thorn, Senior Manager – Decisioning Analytics & AI at CYBG

Martin Thorn

Senior Manager – Decisioning Analytics & AI

Stephen Magora, Director, Data Analytics at Credit Suisse

Stephen Magora

Director, Data Analytics
Credit Suisse

Yehuda Dayan, Co-Head of the Research Innovation Lab/Manager Big Data Analytics at Citi

Yehuda Dayan

Co-Head of the Research Innovation Lab/Manager Big Data Analytics

12:15 pm - 1:15 pm Lunch and Networking Break

1:15 pm - 2:15 pm Interactive Roundtable Discussions: Creating and Developing an AI Roadmap

This interactive session will provide a platform for collaborative discussion and problem solving to ensure you have the necessary tools to develop an affective AI roadmap. You will break into five groups and have 45 minutes to solve your dedicated problem and/or develop a strategy to manage it. Each group will then provide a two minute summary to the entire audience sharing their key discussion points and takeaways.

  • Identifying key stakeholders within the business and getting support from leadership
  • Remaining realistic about capabilities, timelines and budgets required to make a positive impact
  • Defining the business problem and challenges that could potentially be solved using AI technologies
  • Ensuring data quality is at optimum levels to build unbiased and accurate models
  • Validating the AI model and re-tuning it to maximise its potential uses and applications

2:15 pm - 2:45 pm Implementation of Analytics in Internal Audit Function

  • Understanding how analytics can transform internal audit
  • Critical success factors: Ensuring the right people with the right skills are on board
  • Strategy development and creating a roadmap to success
  • Technology selection and project implementation
  • Reviewing successful use cases within the bank and future plans to scale them across different departments
Milica Lazic, Head of Business Audit and Analytics at Julius Baer

Milica Lazic

Head of Business Audit and Analytics
Julius Baer

2:45 pm - 3:15 pm Advanced Analytics to Improve Loyalty and Engagement

  • The importance of agility: Maintaining pace in a fast moving technology market and keeping abreast of customer’s changing needs and priorities
  • Viewing all interaction points along the customer journey to achieve a single view of the customer
  • Unlocking the value from customer data to identify trends, history and customer profile to understand your customers’ needs and grow lifetime value
  • Developing the right architecture and selecting the right vendors to collect and analyse important behavioural insights
Umran Rafi, Head of Digital Data at Santander

Umran Rafi

Head of Digital Data

3:15 pm - 3:45 pm Closing Remarks, Afternoon Coffee and Networking Break