33:22
AI in Finance: from Hype to Marketing and Cybersec Applications
Natalino Busa illustrates a number of use cases of using AI and machine learning techniques in finance, such as transaction fraud prevention and credit authorization.
51:49
Digital Assets: Lessons in Securing What’s Next
Rob Witoff recaps on the past several years at the largest cryptocurrency company in the world and explores technical infrastructure and security lessons learned that apply to what’s next in Fintech.
53:35
Functional / Microservices in Real-Time Financials
Vitor Olivier presents how Nubank has built the system of record based on functional programming principles, the challenges they faced when taking it to scale and the benefits of their approach.
36:26
Elixir and Money
Tomasz Kowal discusses using Elixir for a financial application, handling rounding errors, designing APIs that gracefully handle network and hardware failures, and crashing the app during design.
22:06
Financial Grade OAuth and OpenID Connect
Nat Sakimura discusses using OAuth and OpenID for securing financial transaction services.
41:59
Dynamically Re-configurable Event-driven Systems
Danny Goovaerts combines event-driven business modeling and collocation of data and processing to enable financial institutions to design, develop, test, deploy and change services fast.
55:15
Coding for High Frequency Trading
Richard Croucher talks about the application environments, design patterns and programming languages commonly deployed across Financial Services including Investment Banks and Hedge Funds.
44:50
Building and Trusting a Cloud Bank
Greg Hawkins discusses how Starling Bank, part of the new movement in FinTech challenger banks, is innovating while addressing the need for resilience in a world where failure is everywhere.
34:33
Reactive & Asynchronous - Adventures with APIs in Financial Trading
Michael Barker discusses several low-latency APIs used for financial trading, what makes them fast and how they compare to HTTP/REST/JSON/XML APIs.
38:06
The Move to AI: from HFT to Laplace Demon
Eric Horesnyi and Albert Bifet discuss how hedge funds have moved beyond High Frequency Trading using AI and real-time data processing.
45:11
Policing the Stock Market with Machine Learning
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging.
26:58
Creating Customer-Centric Products Using Big Data
Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.
