Tuesday, December 10, 2019
12:00 PM - 12:30 PM
The promise of data governance is to understand the context and content of enterprise data assets to enable use of relevant, high-quality, dependable data for all key enterprise activities. Achieving this requires a strong capability to capture and understand connections between data, its use, location, stakeholders, and processing.
Typically, this involves tracing complex chains of relationships. Enterprise knowledge graph technology is designed to represent and analyze relationships. It is flexible, evolvable, and intelligent.
This makes knowledge graphs uniquely suited to support data governance initiatives. The scope of data governance is diverse and extensive. Enterprises are increasingly looking to automate or at least semi-automate some of the stewardship activities by applying machine learning and AI.
Data governance knowledge graphs will serve as a critical enabler of automation by guiding and informing the application of machine learning algorithms and combining them with rules.
In this talk we will cover:
- A brief history of knowledge graphs
- Why data governance needs knowledge graphs
- Customer examples of how knowledge graphs address data governance challenges
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.
Ralph Hodgson is a co-founder and the CTO of TopQuadrant, Inc., a U.S.-based company that specializes in semantic technology solutions, tools, consulting, and training, focusing on data governance and lineage. He combines expertise in semantic technologies with over 30 years of experience in business application development and deployment, consulting, software development, and strategic planning. Prior to starting TopQuadrant in 2001, he held executive consulting positions at IBM Global Services where he was a founding member of Portal Practice and Object Technology Practice. Prior to IBM, he was European Technology Director, founder, and Managing Director of Interactive Development Environments, which was an international CASE tools vendor. Ralph is a published author and a frequent speaker at conferences. He has co-authored the books "Adaptive Information," published by John Wiley in 2004, and "Capability Cases: A Solution Envisioning Approach," published by Addison-Wesley in July 2005.