Governments and businesses increasingly leverage the benefits of machine learning and artificial intelligence platforms to identify patterns and anomalies. Good quality, structured data drives better outcomes in machine learning platforms, and is widely available today. Recent legislative and regulatory actions point to the availability of even more data in structured format, from financial institutions, nonprofits and grantees, and even federal agencies.
Attend this session to get a snapshot of the AI landscape today, and to learn where it is likely to go tomorrow. Explore case studies on how machine learning, combined with structured, machine-readable data, is being used for data normalization, catching anomalies and problems in corporate public company data, and more. Speakers include:
- Rachel Carpenter, Founder and CEO, Intrinio
- Victoria Kim, Director of Partnerships & Strategic Growth at eBrevia, a DFIN company
- John Truzzolino, Director of Business Development, Donnelley Financial Solutions (DFIN)
- Matt Von Lintel, Chief Technology Officer, Intrinio
This event is free to attend, with an option to participate and earn 1 CPE for $49 ($39 XBRL US Members) – look for details in the registration confirmation.