Big Data in Finance

Big Data in Finance focuses on the latest strategies and technologies for leveraging complex data to reduce risk, meet regulatory requirements, optimize operations, identify trading opportunities and drive strategic decision making.

From the state of predictive analytics to the value of real-time risk data, this stream encompasses big data strategy and innovation in the front and back offices, and everywhere in between.

 

 

2017 SPEAKER HIGHLIGHTS:

 

A.J. DeRosa at Trading Show Chicago 2017

A.J. DEROSA

Executive Vice President,
Orbital Insight

Howard Getson at Trading Show Chicago 2017

HOWARD GETSON

CEO,
Capitalogix Trading

Dennis Waldron at Trading Show Chicago 2017

 DENNIS WALDRON

SVP, Enterprise Data Architect
Northern Trust

Yves Chauvin at Trading Show Chicago 2017

YVES CHAUVIN

Director, Investment Data Platform
AXA Rosenberg

David Taylor at Trading Show Chicago 2017

DAVID TAYLOR

CTO,
Exegy   

Yam Peleg at Trading Show Chicago 2017

YAM PELEG

Founder,
Deep Trading

 

DISCUSSION TOPICS INCLUDE:

  • Next-generation data – what tools, technologies and applications will be most critical for enabling alpha discovery? 
  • Using sentiment analysis to inform trading decisions – a viable long-term strategy?
  • Enterprise data management – how are you applying innovative technologies to streamline and modernize the information lifecycle?