How Implementing Data Governance with Knowledge Graphs Enables Enterprise AI
  Irene Polikoff   Irene Polikoff


Tuesday, March 24, 2020
01:45 PM - 02:45 PM

Level:  Intermediate

Artificial Intelligence (AI) and Machine Learning (ML) are umbrella terms for a wide set of algorithms, technologies, and approaches that make software seem “smart.” Such algorithms can discern patterns in data so that when new data comes in, they can apply patterns to make conclusions about new data.

Knowledge representation and reasoning (KR) is the field of AI dedicated to representing information about the world in a form that a computer system can utilize. Knowledge Graphs are part of the KR branch of AI. They capture data as well as semantics or the meaning of data. They enable computers to reason based on the full available contextual and conceptual information.

Knowledge graphs can help with key challenges of data governance. It is becoming widely accepted that Knowledge Graphs are also excellent at guiding and focusing ML and at serving as a unifying fabric for the 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 presentation 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

Irene Polikoff, the CEO and co-founder of TopQuadrant, was a co-chair of the W3C SHACL Working Group and is now a co-chair of the W3C SHACL Community Group. She 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. Before co-founding TopQuadrant, Irene was a Principal in the national Knowledge, Content Management, and Portals Practice at IBM Global Services. Prior to that, she was a Senior Development Manager and a Project Executive for IBM Worldwide Consultant's tools and methods. Irene has a master's degree in Operations Research from Columbia University.