About This Webinar

Aired Live on: April 16, 2020 @ 11:30 am ET
Aired Live on May 7, 2020 @2:00 CEST


Artificial Intelligence (AI) and Machine Learning (ML) are umbrella terms for a wide set of algorithms, technologies, and approaches that make software seem “smart.” It is now commonly understood that knowledge graphs can help with many enterprise needs such as addressing key challenges of data governance.

It is also becoming widely accepted that Knowledge Graphs are excellent at guiding and focusing ML and at serving as a unifying fabric for different AI algorithms. Leading companies who are investing in knowledge graphs include Google, Apple, Amazon, Airbnb, Bloomberg, Facebook, LinkedIn, and Thomson Reuters – and these are just a few.


In this webinar we will:

  • Provide a brief history of Knowledge Graphs
  • Demonstrate how they address key challenges of data governance
  • Give a concise overview of AI and ML technologies
  • Discuss how knowledge graphs provide a powerful platform for both integrated data governance and strategic enterprise AI/Machine Learning
  • Showcase specific real-world examples of how knowledge graphs support rules and learning that add new knowledge that can support further learning in a virtuous cycle

Who should attend:

  • Chief technology and data officers
  • Data stewards
  • Data scientists
  • Data governance professionals
  • Data custodians
  • Data architects
  • Chief Architect
  • Enterprise architects
  • Business analysts
  • Project managers
  • Content Librarian

About TopBraid Enterprise Data Governance 

TopBraid Enterprise Data Governance (TopBraid EDG™) is an enterprise knowledge graph for data governance. With EDG, you can choose data governance packages to support a comprehensive and staged approach to data governance. Our packages include:

  • Vocabulary Management
  • Metadata Management
  • Reference Data Management
  • Business Glossaries

About the Presenter:

Irene Polikoff

Irene Polikoff has more than two decades of experience in software development, management, consulting and strategic planning. Since co-founding TopQuadrant in 2001 Irene has been involved in more than a dozen projects in government and commercial sectors. She has written strategy papers, trained customers on the use of the Semantic Web standards, developed ontology models, designed solution architectures and defined deployment processes and guidance.