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

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Morgan Stanley includes a dedicated Machine Learning team, a "Centre of Excellence". The team is headed by New York-based Ambika Sukla, an executive director who says he's focused on, "applying machine learning techniques to algorithmic trading, risk management, operations and compliance, and wealth and investment management".

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Sigma uses AI to sift data from a range of publicly available information and synthesise it into a 0-100 score, which translates into a business integrity rating ranging from AAA down to C, similar to the scale used by the credit-rating agencies. Sigma recently closed a $2.4m financing round, including a small equity injection from Barclays via the bank’s “Accelerator" programme.

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JPMorgan Chase, the largest bank in the United States, and among the leading financial institutions employing technology and AI algorithms in different fields. The firm recently hired Manuela Veloso, the former head of Carnegie Melon University’s Machine Learning Department, as its first head of artificial intelligence research.

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The MIT-IBM Watson AI Lab will carry out fundamental AI research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software, and algorithms related to deep learning and other areas; increase AI’s impact on industries and explore the economic and ethical implications of AI on society.

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ING has won plaudits for its early adoption of fintech in retail banking and recently introduced its new AI bond trading tool “Katana”. Santiago Braje said ING’s approach was unique as the AI empowers traders instead of replacing them. In a 6 month trial at ING’s emerging markets desk, the AI tool led to faster pricing decisions for 90% of trades, and cut trading cost by 25%.

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Agnes applies her main areas of expertise in Mathematics - Stochastic Control, Hamilton-Jacobi equations, Partial Differential Equations, numerical and simulation techniques - to applications in Finance such as portfolio optimization, pairs trading, credit and liquidity risk and bank regulations. By conducting research in Quantitative Finance, Agnes aims to solve industrial problems.

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At Capital One, Andrew is establishing approaches for auditing and interpreting machine learning algorithms along with building machine learning tools to optimize the audit process. With ML becoming ever more ingrained within organizations, the need for an objective verification of their assumptions is needed. Internal and external auditors are in the perfect position to provide this assurance.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in machine 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 & compliance.

Tech

Discover Emerging Trends

Learn about machine learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.

Network

Expand Your Network

A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Financial Regulators
  • CTOs
  • Founders
  • Directors of Innovation
  • Digital Finance Analysis Managers
  • Venture Capitalists
  • CFOs
  • CEOs
Speechbubbles

Join the discussion

  • 40 speakers
  • 200 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
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Topics we cover

Insurance
Insurance
Investment
Investment
FinTech
FinTech
Financial Compliance
Financial Compliance
Financial Forecasting
Financial Forecasting
Fraud Detection
Fraud Detection
Deep Learning Algorithms
Deep Learning Algorithms
AI
AI

Confirmed Attendees Include

DataCamp
University of South Carolina
Sogang University
New York University
hsbc
AIG
Zions Bancorporation
New York Life
capital one
Red Hat
Vanguard
VISA
Square
Northwestern Uni
Amazon
BNY Mellon
UBS
DBS Bank

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For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

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