Director of Innovation and Digital Centre of Excellence
Lloyds Banking Group
Associate Professor (Research)
University of Oxford
Vice President - Lead Data Scientist
Head of Data Science
Professor & Chair in Cybersecurity
King's College London
Head of Predictive Analytics in Banking Products
Machine Learning Lead
Head of Data Science for UK and Ireland
Head of Customer Engineering, Financial Services
Broadly speaking, there are three types of use cases that we implement at Santander UK. One of them is classification, meaning that we organise new data into existing categories based on already classified historical data (labelled). Approximately 80% of the use cases fit on this type of solution. This solution is used to classify customers for marketing purposes for example.Read More
Through an automated system from PredictX – previously Pi Travel – the organisation will use artificial intelligence to analyse spending and activity data from previous trips to help it make better budgetary decisions. The system is also expected to improve UBS’s position when negotiating with travel service suppliers.Read More
App-only fintech startup Monzo is scaling up its machine learning capabilities and plugging employees into the rich stream of data generated by 1.7m global users as it forges ahead of the high-street banks in the digital space. Lathia commands a team of more than 20 people and he is looking to harness the wealth of of data at the company’s disposal to get Monzo “working faster”.Read More
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and FinTech applications including financial forecasting.
Learn about deep learning applications in the financial sector from algorithms to forecast financial markets, to tools used for anomaly detection & pattern recognition in financial time series, to scaling predictive models, to develop your most advantageous data strategy, to using GANs.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning in finance revolution. Learn from & connect with 600+ industry innovators sharing their best practices to advance FinTech.
Peggy Tsai, Vice President, Analytics & Data
Vice President, Machine Learning, Asset & Liability Management, BNY Mellon
Francis Z Lin, Bank of New York Mellon
Anton Prokopyev, The World Bank
Glen Moutrie, Data Scientist