04 - 05 July, 2018 | Hilton London Kensington, London, United Kingdom

Agenda Day 2

8:15 am - 9:00 am Registration and Coffee

8:50 am - 9:00 am Chairperson's Welcome

9:00 am - 9:40 am Data in the Cloud and Fraud Prevention Using Machine Learning

David Laramy - Director, Head of Fraud Strategy & Analysis, Capital One
Kyle Roberts - Fraud Data Analysis Manager,
  • Uncovering previously undetected anomalous activity by creating a central point for data access
  • Cross-channel fraud prevention by amalgamating data
  • Exploring the use case for machine learning across fraud types
  • Case studies for internally built and externally sources machine learning

David Laramy

Director, Head of Fraud Strategy & Analysis
Capital One

Kyle Roberts

Fraud Data Analysis Manager

8:00 am - 12:00 am Data Monetisation: Data as a Means for Direct & Indirect Revenue Growth

Neil Taylor - Head of Data & Systems, Liv-Ex
  • Treating your data as an asset: Quick overview of how both direct and indirect revenue streams have been achieved
  • Leveraging insights that will improve customer experience, loyalty, retention whilst increasing spend per customer and drive overall business revenue
  • Open Data: Understanding how releasing data created

Neil Taylor

Head of Data & Systems

  • Industry overview: How has the industry changed, what has been the impact and how can the industry evolve to protect themselves?
  • What are the existing and emerging threats and the impacts currently affecting the industry?
  • What is the best way to structure an organisation, departments and individuals to combat financial and cyber crime?
  • How can we use analytics to gain great insights into customers, employees and partners to reduce fraud and threats?
  • What key advice would you have for anyone just starting out with developing a fraud and cyber program?
  • What advice would you give to organisations that are modifying data to monitor and capture suspicious activity?
  • What are the current and future impacts on data and privacy and how can that be managed to protect business?
  • AI, Machine Learning and other technology: How do you envisage the use of existing and emerging technology combat financial crime?

Steve Jackson

Head of Financial Crime & MLRO
Covea Insurance

David Laramy

Director, Head of Fraud Strategy & Analysis
Capital One

Juan Amador

Global Head Financial Crime Risk Technology Strategy

Bob Spencer

Head of Claims Counter Fraud
Direct Line Group

11:20 am - 11:50 am Morning Coffee and Networking Break

11:50 am - 12:30 pm Machine Learning: An Overview

Mark Whitehorn - Professor of Analytics, University of Dundee
·       Machine learning (ML) is simply a collective term for a number of very different techniques (neural nets, clustering etc.)
·       To use ML effectively you have to know what these techniques are and what they do
·       You don’t need to understand the detail, any more than you need to know how a battery works to drive a Tesla
·       What you do need is a good handle on the main types of ML, their strengths, weaknesses and the benefits they bring
·       This talk will tell you, in completely non-technical terms, precisely that

Mark Whitehorn

Professor of Analytics
University of Dundee

12:30 pm - 1:10 pm Delivering and Maximising Business Impact through Autonomous Decision Engines

  • Incorporating machine learning technology into the data strategy to help improve agility and flexibility throughout the organisation
  • Delivering business value through more accurate predictions and automating decisions
  • Understanding how to interpret and apply the results from advanced analytics and machine learning to improve business outcomes
  • Establishing a data structure that will enable innovation and capitalise on new business and market opportunities

1:10 pm - 2:10 pm Lunch and Networking Break

2:10 pm - 2:45 pm Advances in Neuroscience: Improving Marketing Insight through High Quality Psychological Insights

Richard Summers - Research Director, Centre of Cambridge Scalable Psychology
  • Understanding how the effectiveness of marketing insight is currently restricted by data quality and relevance rather than the quantity or data mining technologies
  • The breakthroughs in neuroscience that are allowing effective data to be gathered at scale and quantitatively
  • Evaluating the psychological findings and key issues about how consumers and financial product/brand selection impact financial service marketers
  • Applying the learnings from research collaboration and major financial brands: The importance of strategic direction for marketing, data processing and analytics in fnancial services

Richard Summers

Research Director
Centre of Cambridge Scalable Psychology

2:45 pm - 3:25 pm 50 Shades of Data: A Tale of Talent, Innovation and Spectacular Results

Dan Fiehn - Group IT Director, Markerstudy Group
  • How focusing on delivering a spectacular experience for internal staff and automating the IT organisation led to a huge cultural shift, which in turn laid the foundations for future digital transformation
  • How using data analytics to inform competitive insurance quotes led to embracing machine learning to progress intelligent product, service and process innovation
  • Leveraging video telematics and IoT data to improve customer understanding and driving behaviour
  • Fully utilising existing talent and creating the necessary culture and space 

Dan Fiehn

Group IT Director
Markerstudy Group

3:25 pm - 3:55 pm Afternoon Tea and Networking Break

  • Creating business value from investments in data by adapting and borrowing principles from Agile, Lean and Dev Ops
  • Agile data science: Aligning data science with organizational goals
  • Practical solutions to increasing the velocity of value creation
  • DataOps – The new approach to data science: Analytics professionals in the centre of the company’s strategy, advancing its most important objectives

Harvinder Atwal

Head of Data Strategy and Advanced Analytics

4:35 pm - 5:15 pm The Link Between Data Privacy, Security and Customer Centricity

Nsemeke Ukpong - IT Chapterlead, ING
  • Overview of ING data privacy project: Drivers and opportunities
  • Understanding how data privacy and security can be the catalyst for customer centricity
  • Focusing on data governance and ensuring the right blend of business process, automation and technology will drive the best results

Nsemeke Ukpong

IT Chapterlead

5:15 pm - 5:25 pm Closing Remarks from the Conference Chair and Close of the Conference