Content related to EK’s Hilger, Tesfaye, Thompson, Majumder, and Nozari to Speak at the CDOIQ Symposium
Four Key Components of Enterprise Knowledge Graphs
Enterprise knowledge graphs are an incredibly valuable tool for relating your structured and unstructured information, allowing you to easily obtain actionable insights from large amounts of information across your enterprise. An enterprise knowledge graph is also an important foundation for … Continue reading
How to Build a Knowledge Graph in Four Steps: The Roadmap From Metadata to AI
The scale and speed at which data and information are being generated today makes it challenging for organizations to effectively capture valuable insights from massive amounts of information and diverse sources. We rely on Google, Amazon, Alexa, and other chatbots … Continue reading
Webinar: Laying KM Foundations for Successful and Transformative AI
Presented by EK’s Zach Wahl and Joe Hilger, this webinar discusses how AI can harness the full spectrum of your organization’s knowledge so that information can be efficiently found, used, and reused. In the webinar participants learned: • Why Knowledge … Continue reading
How to Optimize Data Governance with Enterprise Knowledge Graphs
At EK, we know knowledge graphs are the best tool for mastering data governance at organizations. This whitepaper details the key principles and challenges of data governance and demonstrates how using knowledge graphs can ensure successful data governance. Data governance … Continue reading
How Leveraging Existing Taxonomies Can Jumpstart Ontology Design
Taxonomies and ontologies are both types of Knowledge Organization Systems, or KOS. Different types of KOS can be seen as a continuum, starting with a simple folksonomy where users of content can add free form tags with no control or … Continue reading
Leveraging KM as the Foundation for Artificial Intelligence
This presentation by EK’s Zach Wahl, originally presented at the annual Federal/DoD KM Symposium on May 15, 2019, discusses how knowledge management serves as a key foundation for Knowledge AI.
Using Knowledge Graph Data Models to Solve Real Business Problems
A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading
The Roadmap to Open, Accessible, and Machine-Readable Data
In January, the federal government passed a new law to improve data management at federal agencies, H.R. 4174, the “Foundations for Evidence-based Policymaking Act of 2018”. The law includes the Open, Public, Electronic, and Necessary Government Data Act, or the … Continue reading
The Cost of Doing Nothing: The Business Case for Knowledge and Information Management
For many organizations, investment decisions on Knowledge, Data, and Information Management initiatives are driven by high-level business objectives such as increased efficiency, productivity, competitive advantage, and enhanced employee or customer engagement. While aligning Knowledge and Information Management initiatives with business … Continue reading
Knowledge Graphs for Data Governance
The explosion of data and data scientists is making data governance more important, and more difficult. Most large organizations have thousands of data files and a wide range of users working with those files. The size and complexity of these … Continue reading