2018 Registration Now Open!
Be an early bird and save up to £700 when you register before June 15

An unmissable global networking event for 500+ buy- and sell-side data leaders, FIMA is where the future of enterprise data management is shaped.

Learn how to optimise your data strategy to comply with overlapping regulations. Harness robotics to automate your data quality tasks. Develop a smarter approach to governance that minimises privacy and ethical risks. And leverage AI and ML to operationalise data science techniques whilst building a successful strategy to monetise your data.

“A great opportunity to capture new ideas and rethink your current data strategy ”

Gary Goldberg, Global Chief Data Officer, Mizuho

Be Inspired. Learn From:

Chris Bannocks

Global Chief Data Officer
ING

James Harwood Bridgen

Global Chief Data Officer
HSBC Asset Management

Ade Agbede

Global Head of Data Services Integration
Blackrock

Andrew Barnett

Global Chief Data Officer
L&G Investment Management

Gary Goldberg

Global Chief Data Officer
Mizuho

Deepak Suresh

Global Head of Data Strategy and Transformation
Deutsche Bank

Andy Alexander

Head of Data Science EMEA
JP Morgan

Catriona Baldwin

Global Head of Data Governance
Credit Suisse

575

Buy- And Sell-Side Data Leaders

183

Investment Banks, Asset Management Firms And Wealth Managers

95

Speakers

42

Chief Data Officers

18

Of The Top 20 Investment Banks

8

Of The Top 10 Asset Management Firms

13

Hours Of Networking

2

Masterclasses

“Focused on data innovation and ways to make our data work smarter for us ”

Graham Smith, Head of Data Innovation, Royal Bank of Scotland

This November in London

  • Find out once and for all how AI, Robotics and Blockchain can be applied in practice
  • Learn how to rapidly meet data requirements for overlapping regulations to avoid huge penalties
  • Give your data teams access to the latest trends in enterprise data management
  • Make 100s of contacts in the global data community to expand your professional network
  • Receive actionable tips and advice on operationalising data science techniques