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

 

FOCUSES ON...

  • Best practices for storing, managing and analyzing critical enterprise data
  • Implementing an effective data governance initiative to support enterprise risk management and regulatory reporting requirements
  • Leveraging sentiment analysis and predictive analytics for increased market intelligence
  • The latest industry solutions for visualizing, analyzing and extracting insights from real-time, streaming data
  • Protecting sensitive enterprise data against evolving cyber threats