Agenda Day 1

8:00 AM - 8:30 AM Registration & Coffee

8:30 AM - 8:40 AM Chairperson’s opening remarks and welcome

8:40 AM - 9:00 AM Icebreaker: What are Your Event Objectives?

9:00 AM - 9:40 AM The Future of Banking: Driving Innovation and Maximising Value from Insights

Alex Kewley, Director, Client Insights & Solutions, Europe, ANZ
· What does the future of insights, data and analytics look like?
· Understanding how to drive data, digital and innovation across the organisation: Securing and maintaining internal buy-in
· Maximising value from industry insights and predictive analytics to identify corporate financial solutions

Alex Kewley

Director, Client Insights & Solutions, Europe
This panel discussion is designed to provide an insight into the role and challenges faced by the CDO in the current climate and how the leaders of tomorrow can support them effectively. Ultimately, the discussion will be centred on culture, securing on-going executive support, managing technical issues, developing effective guidelines and aggregating enterprise wide data.
· What is the current role of the CDO and how is it evolving?
· What are the biggest challenges faced by CDO’s in the current climate?
· Balancing workload: How can the CDO ensure they are prioritising the right things, at the right time and leveraging the relevant support?
· How can Data, Analytics, BI, Insights, Finance and Risk functions provide additional support to ensure the CDO’s time is spent wisely?
· What are the expectations for the leaders of tomorrow: Buy-in, business case, culture, development, strategy, innovation and monetisation

Gillian Tomlinson

Chief Data Officer

Adam Preston

Chief Data Officer
Santander GCB UK

Brian O'Connor

Director of Data Analytics

Roshan Awatar

Director and Head of Data Practice,

Mark Hunter

Sainsbury's Bank

Barry Green

Chief Data Officer
Bank of Ireland

11:00 AM - 11:30 AM Morning Coffee and Networking Break

11:30 AM - NaN:NaN AM Using Data to Drive Business and Product Innovation

Richard Davis, Head of Innovation | Customer, Change & Innovation | Risk Division, Lloyds Banking Group
· Leveraging big data and analytics to enable and support faster innovation throughout the entire organisation
· Understanding how to use big data as a strategic tool to drive new business, sales development and generate new ideas for products and services
· Organising the business around innovation and how to achieve the best results: People, process and structure
· Exploring technology and solutions that can support the overall “innovation” objectives

Richard Davis

Head of Innovation | Customer, Change & Innovation | Risk Division
Lloyds Banking Group

12:10 PM - 12:50 PM Transforming Fraud Prevention: Fraud Analytics

David Laramy, Director, Head of Fraud Strategy & Analysis, Capital One
· Reviewing the current external market situation relating to targeted fraud attack: Focusing on online transactions, contactless and identity theft
· Proactively fighting fraud through pattern detection: Fraud analytics approaches and methods (scorecards, regression models, link analysis)
· Continuous fraud detection, mitigation and monitoring through analytics process automation (automated rule changes, negative lists, data sharing, new data sources)
· Brave new world: Machine learning and adaptive models, multiple models scoring the same thing, big data approach
· Fraud analytics and the organization: People, processes and systems

David Laramy

Director, Head of Fraud Strategy & Analysis
Capital One

12:35 PM - 1:05 PM Solving Financial Services Challenges with Cognitive Computing / AI

Dan Adamson, CEO, OutsideIQ Graham Bright, Head of Compliance & Operations,
  • Bringing AI solutions to your organizations: Current solutions and future possibilities
  • DDIQ: Driving compliance, reducing fraud and improving efficiency through automation
  • Introduction to CAP: Leveraging built-in AI platforms to create more efficient processes
  • Tips for avoiding common pitfalls when it comes to AI implementations
  • Case study (An adopter’s experience): Hear how the Head of Compliance at a financial services company used AI technology to drive competitiveness

Dan Adamson


Graham Bright

Head of Compliance & Operations

1:05 PM - 2:05 PM Lunch & Networking

2:05 PM - 2:45 PM Developing a Big Data Strategy and Roadmap: Information Strategy, Governance and Talent Management

Miriam Vizvary, Head of Data, WRB Underwriting
· Building opportunities through big data and overcoming internal challenges and limitations
· Using big data in conjunction with business strategy for commercial success
· Identifying and implementing the right processes, tools and technologies to support your big data strategy
· Balancing big data budgets and skill sets: How can you deliver big data in a rapid and cost-effective way to support better decision making?
· Determining your appetite for risk relating to big data, risk management strategy and security considerations

Miriam Vizvary

Head of Data
WRB Underwriting

2:40 PM - 3:20 PM Accurate and Effective Methods for Managing Risks

  • Evaluating data sources and creating financial models for decision support
  • Exploring the various model types used in Model Risk Management
  • The importance of ongoing monitoring, reporting and forecasting
  • Establishing a risk management governance process

3:20 PM - NaN:NaN AM Afternoon Tea and Networking Break

3:50 PM - NaN:NaN AM AI Case Study: Building an Artificial Intelligence Cell and Centre of Expertise

Muriël Serrurier Schepper, Business Consultant Advanced Data Analytics & Artificial Intelligence, Rabobank
In March 2016, Rabobank centralised disparate AI efforts from across the wider business in order to develop an AI Cell (or centre of expertise) within their wider advanced analytics function, enabling rapid skill development and reduced project costs. This presentation will focus on:
· Understanding the value of AI within the financial services sector and how it can be leveraged
· The AI initiative within Radobank: Organisational drivers, project specifics and key challenges faced so far
· Getting started: Identifying and selecting the right AI project and how to move them forward
· Business case: Initiating, stakeholder collaboration, executive buy-in, demonstrating ROI and securing funding
· Lessons learned: Top tips and common pitfalls to avoid

Muriël Serrurier Schepper

Business Consultant Advanced Data Analytics & Artificial Intelligence

4:30 PM - 4:40 PM Chairperson’s Closing Remarks and End of Conference Day One

4:35 PM - NaN:NaN AM Drinks Reception