Machine Learning in Financial Services Virtual Conference
Arena proudly present the inaugural Machine Learning in Financial Services Virtual event!
The conference brings together Machine Learning experts from the Financial Services space to lead key discussions surrounding some of the biggest topics surround the industry at the moment. Bringing together senior executives from private and public banks, payment services and insurance companies to explore the emerging themes when deploying Machine Learning models within their day to day services.
This event provides an unrivalled platform for networking with key decision-makers alongside offering a unique opportunity to learn from and meet with respected industry professionals. We have created a unique platform bringing together strategy, product development and sector strategists to deliver a 360° view on the opportunity to develop and successfully launch a low and no product.
Why Join Our Virtual Experience?
- Watch cutting edge presentations from 15+ speakers
- Connect with industry leaders from leading financial institutions to regulatory bodies
- Meet a global audience – Chat with experts in your field
- Log on from anywhere in the world!
A FANTASTIC NETWORK OF YOUR PEERS AND COLLEAGUES RIGHT AT A TAP OR CLICK OF A BUTTON
The Machine Learning in Financial Services Virtual Summit is the perfect forum to discover new innovations and solutions and network with top industry professionals.
Simply register, login on the day and get ready to connect and learn. With the right network at your fingertips, learning and connecting have never been so easy.
Hear the latest updates and case studies from industry experts
Meet with the top industry professionals
Come together with peers to create lasting connections
To enquire about sponsorship opportunities for the conference, please contact:
Head of Sponsorship
T: +44 (0) 20 7936 6552
The Machine Learning in Financial Services programme is written in collaboration with industry, if you have a case study, idea or just a comment, please contact:
T: 0161 359 5938