Agenda

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Tracks

A

Presentation Track 1 Room: Marquis

B

Master Classes Track 2 Room: Cantor

C

Master Classes Track 3 Room: Jolson
Time
Session Title
8:30 a.m.
Registration
9:00 a.m.
Welcome and Introduction
9:10 a.m.
Challenge-Response: Data Science and AI in Production
9:50 a.m.
Applied Uses of AI for Investment Insights and Operational Efficiency
Presentation Track 1 Room: Marquis
Master Classes Track 2 Room: Cantor
Master Classes Track 3 Room: Jolson
10:30 a.m.
A The R-Factor: Converting ESG and Corporate Governance Data into Investable Insights
11:10 a.m.
Break and Exhibits
11:20 a.m.
A Dynamic Replication and Hedging: A Reinforcement Learning Approach
B A Master Class in Building Production-Grade NLP Pipelines
C Text Analytics and Sentiment Analysis
12:00 p.m.
Lunch and Exhibits
1:10 p.m.
A CCAR Neural Networks Model
B A Platform for Risk Models
C Software Development with MATLAB
1:50 p.m.
A How MATLAB Reshapes the Landscape to Serve Wealth Management Clients
2:30 p.m.
Break and Exhibits
2:50 p.m.
A Applications of Academic Theory and Quant Techniques in Securities Lending
B AI, Machine, Deep Learning, and NLP in Enterprise Investment and Risk Management
C Integrating Python and MATLAB
3:30 p.m.
A Penn Wharton Budget Model: Macroeconomics in MATLAB
4:10 p.m.
A Model Risk Management for Alpha Strategies Created with Deep Learning
B Natural Language Processing and Deep Learning in Finance
C
4:50 p.m.
End of Day