FIMA US 2020

October 05 - 06, 2020

The Sheraton, Boston MA

Connie Zhang, U.S. Data & Analytics Officer at Agricultural Bank of China, New York Branch
Agricultural Bank of China, New York Branch Logo

Connie Zhang


U.S. Data & Analytics Officer
Agricultural Bank of China, New York Branch

Check out the incredible speaker line-up to see who will be joining Connie.

Download The Latest Agenda

Day One: Leveraging Data as a Strategic Asset

Monday, October 5th, 2020


2:25 PM Panel Discussion: Next Generation Data Quality to Meet the Needs of AI and Analytics

Historically data quality has generally been a rear view mirror process in financial services. With an increased demand for analytics and the ongoing process of risk assessments, data quality is under significant scrutiny. Find out how organizations are prioritizing data validation up front and establishing single versions of mastered content as opposed to data copies across the organization. Panelists will discuss the latest evolutions in data quality, including:


  • Instrumentation metrics and KPIs to understand what the operations team is doing daily
  • Self-diagnosing data sets to identify what’s wrong and using the data itself to fix it
  • Emerging quality standards to make data more useful for analytics and regulatory purposes
  • Leveraging data quality automation to increase efficiency

Day Two: Ensuring Data is Fit For Purpose and Protected

Tuesday, October 6th, 2020


11:55 AM Panel Discussion And Live Polling: Overcoming Current Challenges In Market Data, From Consolidation To Quality Control

The industry is experiencing significant consolidation between exchanges and data providers. Choices are becoming more restricted, terms are changing and firms are already managing increased expenses. How can you do quality control when contracts are changing? How will Digital Rights Management impact the industry?

Panelists will discuss:

  • Handling quality control when contracts are vague
  • The opportunities of Digital Rights Management and the challenges of adoption
  • Understanding the evolution of contracts and how licenses are structured now
  • The scope of using AI with market data