A Note from TopQuadrant’s CEO, Irene Polikoff
Most of us are “data people” – we work with data on a daily basis, whether it’s gathering, integrating, analyzing or acting on data necessary to address our goals. With the daily updates on the latest COVID-19 data, it now seems that everyone is becoming a “data person” as they try to understand the nuances of the various data models.
The pandemic brought us yet another reminder that data has never been more important and that progress requires robust data. Of course, as a first step this means accurate data, but that is not enough. Data is complex and one can only use it reliably (i.e. make decisions and assumptions based on it), if its entire context is well understood and matches your situation.
Dependence on reliable data is ever increasing in nearly all enterprises. And, whether you are currently working on data that relates to COVID-19 or simply trying to figure out how to better manage and utilize your data, the path to success is better data governance. In this regard, TopQuadrant has pioneered the use of knowledge graph technology to support more comprehensive, connected data governance capabilities.
The qualities of knowledge graphs make them an ideal foundation for data governance. We have shown how data governance can be implemented in an incremental, iterative and adaptive way with knowledge graphs. And we are offering a webinar (see Upcoming Webinars below) and a whitepaper showing how implementing data governance with knowledge graphs.provides a strong foundation to enable and manage AI.
As enterprise use of graph technologies for many strategic applications, including data governance, continues to rapidly expand, it is important to understand that not all graph technologies are equal in terms of capabilities and standards. In this issue, we are featuring a new whitepaper (see Latest White Paper below) in which we cover this topic by comparing and providing guidance on the capabilities of knowledge graphs vs. property graphs.
With many conferences postponed or merged, we are focusing on supporting you with relevant high quality content in more frequent webinars and white papers. We aim to help our customers and colleagues continue to navigate their professional journeys as informed and productively as possible.
Latest White Paper!
“Knowledge Graphs versus Property Graphs: Similarities, Differences and Some Guidance on Capabilities”
We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades.
The two main graph data models are: Property Graphs and Knowledge (RDF) Graphs. People who want to take advantage of graph-based solutions for data and metadata management want to know what they are, what are their similarities and differences, and what they are each good for.
This white paper covers the following:
- Describes the two main graph data models: Property Graphs and RDF Graphs and explains the key differences in their terminology and capabilities.
- Compares their strengths and limitations
- Provide guidance on their respective capabilities
New Customers, Media Mentions and Speaking Updates!
New Customers
A branch of the United States Armed Forces, selected TopBraid EDG – Vocabulary Management, Metadata Management, TopBraid Tagger and AutoClassifier and TopBraid Explorer to focus on data curation.
A provider of financial data and information on the alternative assets market, selected TopBraid EDG —Vocabulary Management and Data Graphs to manage its graphs.
A multinational technology company selected TopBraid EDG – Vocabulary Management and Data Graphs for development and management of ontologies for materials processing and development.
An American technology company that develops software as a service for clinical trials, selected TopBraid EDG — Reference Data Management and Vocabulary Management to provide a knowledge- driven user experience.
Media Mentions
Inside Big Data Article: April 8, 2020 Enhancing Predictive Cognitive Computing Models with Traditional Data Modeling. TopQuadrant’s CTO, Ralph Hodgson and CEO, Irene Polikoff discuss how ontologies improve machine learning’s effectiveness in this article from insideBIGDATA.
KMWorld Article: February 4, 2020, Knowledge graph technology-based data governance delivers enhanced user experience. Learn about the latest release of TopQuadrant’s flagship product, TopBraid Enterprise Data Governance (EDG) 6.3.
Dataversity Article: January 7, 2020, Semantic Web and Semantic Technology Trends. Jennifer Zaino interviews TopQuadrant’s Irene Polikoff. Irene discusses why knowledge graphs will continue to be a top trend in Semantic Technology throughout 2020.
UPCOMING AND RECENT WEBINARS
UPCOMING: May 7, 2020 at 8:00 AM ET / 2:00 PM CEST: How Implementing Data Governance with Knowledge Graphs Enables Enterprise AI. This webinar will discuss the key challenges of data governance, provide a concise overview of AI/ML technologies and discuss real-world examples of how knowledge graphs support learning.
UPCOMING: May 14, 2020 at 11:30 ET: Getting Started with Knowledge Graphs: Main Challenges and How to Overcome Them.This webinar is informed by working with many customers over the last 20 years, as they learned about and applied knowledge graph technologies. We will discuss some of the key challenges faced by the new (and not so new) users and how they can be addressed today.
RECORDED: Getting Started with Data Governance – Some Practical Guidance. This webinar addresses a key question we hear from stakeholders in the enterprise, “How can we get started in an effective and sustainable way? In this webinar we present an alternative approach that is benefit focused and combines design of the governance framework with implementing it in an iterative and adaptive way.
HOW DO YOU GET STARTED?
We understand that different organizations have different priorities. With that in mind, we often recommend a staged approach, starting with one package and extending to your scope to govern other assets when you are ready. Below is a list of our individual TopBraid EDG packages to get you started!
TopBraid EDG – Vocabulary Management Improve search, achieve clarity on enterprise terminology and ensure optimal delivery and navigation of information.
TopBraid EDG – Metadata Management Achieve operational efficiency, regulatory compliance and analytical insights.
TopBraid EDG – Reference Data Management Bring consistency and accuracy to the use of reference data across enterprise applications.
TopBraid EDG – Business Glossaries Create and manage common vocabularies of business terms to ensure clear communication and improve understanding of your data.
October 2020
December 2020
COMING UP:
TopQuadrant is a sponsor and exhibitor at the next Enterprise Data World (EDW) conference in Chicago, IL, October 18-23, 2020
TopQuadrant is a sponsor and exhibitor at the Data Governance & Information Quality Conference (DGIQ) in Washington, D.C., December 7-11, 2020.
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