Discover advances in deep learning tools and techniques from the world's leading innovators across industry, research and the financial sector.

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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.

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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.

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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”.

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Speakers

Extraordinary Speakers

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.

Tech

Discover Emerging Trends

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.

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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.

Who

Who Should Attend

  • CTOs
  • Data Scientists
  • Directors of Innovation
  • Data Engineers
  • Heads of Data Science
  • Professors
  • Venture Capitalists
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Topics we cover

Investment
Investment
Pattern Recognition
Pattern Recognition
Stock Market Prediction
Stock Market Prediction
Financial Compliance
Financial Compliance
Financial Forecasting
Financial Forecasting
Retail Finance
Retail Finance
Robo Advisors
Robo Advisors
Neural Networks
Neural Networks

Previous Attendees Include:

barclays
ING
santander
ox uni
VISA
Monzo
Direct Line Group
LV
Experian
Danske Bank
European Central Bank
Vodafone
deutsche bank
Google
facebook
Lloyds
Capital One
samsung
Swedbank
BBVA
UBS
JP Morgan Chase
University of Glasgow
London School of Economics
Go Compare
Ameri Bank
UCL
AIG
RBS
Mizuho Bank
AXA
Societe Generale
Transfer Wise
Co-Op Insurance
ClearScore
Alan Turing Institute

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