Content related to Recommendation Engine Automatically Connecting Learning Content & Product Data
Increase the Re-Use of Knowledge Assets with Semantic Hubs
In my last blog, I discussed how knowledge graphs aggregate information from multiple systems to enable powerful search and discovery tools. A semantic hub (or semantic middleware) is a metadata-enhanced bridge that connects a knowledge graph to user-facing applications, helping … Continue reading
Enterprise Search: The Key to Findability
Presented at KM Showcase 2019 by Todd Fahlberg (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how Syed led his organization in the design and implementation of an … 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
Designing Content Types for Performance Support
We know that learners struggle to translate what they have learned in a theoretical training to on the job performance improvement. We also know that training programs are most effective when they go beyond a single classroom or online learning … Continue reading
Optimizing Your Search Experience: A Human-Centered Approach to Search Design
Designing a search solution requires an understanding of how people think, what they want, and how they go about getting what they want. You can implement the most technically sophisticated search tool for your organization, but if you’re not configuring … 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
Beyond Find: The Five Levels of Artificial Intelligence for Knowledge
At Enterprise Knowledge, our work in the field of Knowledge and Information Management has given us the opportunity to explore a wide range of organizational goals and business drivers with our clients. Over the years, these goals have progressed from simply … Continue reading
Graph Search at the Super Bowl
If you are like me, and not a Patriots fan, the best part of the Super Bowl was the commercials. One commercial, in particular, caught my eye. Do you remember the Google Job Search for Veterans commercial (see the youtube … Continue reading
Knowledge Graphs for Search and Discovery
For many projects at Enterprise Knowledge, making information more findable and discoverable is a common ask. Clients often ask questions like: Does my organization have any documents that detail the role of product owners on search projects? Have we previously … Continue reading
The Magical Art of Tidying Up Content
If you have Netflix, you’ve probably seen Tidying Up pop up on your feed. It’s a new series based on Marie Kondo’s book The Life-Changing Magic of Tidying Up, which presents her methodology for clearing your clutter, getting organized, and … Continue reading