AI Data Management New York

The course will provide delegates with an understanding of data management; governance, privacy and quality and how these are linked to artificial intelligence within capital markets.

Thumbnail


AI and Data Management: 
Quality, Privacy & Security 
November 12-13, New York
 

The course will provide delegates with an understanding of data management; governance, privacy and quality and how these are linked to artificial intelligence within capital markets.  Other sessions will include using alternative data in FX data, how to bring your data in to cloud technologies and regulatory view on data in AI and Machine learning.

Learning Outcomes
  • Understand how to create a comprehensive data governance framework 
  • Case study example of monitoring data quality 
  • Cultural understanding of data treatment and how to create sustainable data quality
  • Understanding who is accountable for data privacy and what the data issues are across different jurisdictions 
  • How to bring your data in to the cloud and the benefits of this
  • Investor uses for alternative data and how to leverage data flows
  • Regulatory view on data analytics 
     
Who Should Attend

Relevant departments may include but are not limited to:

  • IT
  • Data management
  • Data administration
  • Technology
  • Digital innovation

55 Broad Street

55 Broad Street, 22nd Floor

Financial District

New York, NY 10004

Thumbnail