The Current State of AI Modeling for Finance: Day 1

Date Time
11 Aug 2020
9:30 PM EDT

Overview

In this session, we will address how we can use AI to our advantage in the financial services industry with MATLAB®. We will begin by building machine learning and deep learning models to tackle difficult financial problems, then we will discuss where the field of AI is heading and what that means for the industry.

Agenda Day 1: August 12

Time (AEST) Title

 

11:30am – 12:00pm

Foundations of Machine Learning

  • Create Machine Learning models with ease using MATLAB, even with difficult real-world scenarios like big data and dirty data
  • Automate validation and tuning of machine learning models
12:15 – 12:45pm

Natural Language Processing + Deep Learning

  • Use natural language processing (NLP) to analyze data from alternative sources
1:00-1:30pm

Model Explainability

  • Explain the decisions of machine learning models with industry-standard techniques like LIME and Shapley
1:45pm
End of Day

Highlights

  • Create Machine Learning models with ease using MATLAB, even with difficult real-world scenarios like big data and dirty data
  • Automate validation and tuning of machine learning models
  • Use natural language processing (NLP) to analyze data from alternative sources
  • Explain the decisions of machine learning models with industry-standard techniques like LIME and Shapley

About the Presenter

Peter Brady is an application engineer with MathWorks striving to accelerate our customer’s engineering and scientific computing workflows across maths, statistics, finance and machine learning.  Prior to joining MathWorks, Peter worked in computational fluid and thermodynamics as well as high performance computing for a number of defence and civil contractors as well as a few universities.  He has worked in fields as diverse as cavitation, wave/turbulence interactions, rainfall and runoff, nano-fluidics, HVAC and natural convection including scale out cloud simulation techniques.  Peter holds doctorate in free surface computational fluid dynamics and a bachelor of civil engineering both from the University of Technology Sydney.

Frank Fu is an Industry Manager at MathWorks. He covers financial services sector in Asia-Pacific region, specializing in application of MATLAB in financial modeling for various financial institutions such as central banks and asset management companies. Before joining MathWorks in 2018, he worked at Deloitte in Shanghai as risk management specialist, serving different local financial institutions such as commercial banks and securities companies. In his current role, Frank has worked with different MathWorks offices across APAC, helping local customers in the financial services industry to adopt MATLAB to facilitate their daily work, introducing latest features and updates, and getting their feedback on MATLAB products. Frank holds a master’s degree in international business from the University of Applied Science in Berlin and a master’s degree in finance from the University of Munich (LMU).

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