Content related to Top 5 Agile Myths: Myth #2 Agile Teams are Made Up of Only Developers
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
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
Complement Your Change Management Efforts with Gamification
Despite being a relatively new concept in the KM field, gamification is already an overused term that gets thrown around in virtually any initiative. Defined as an organization’s use of design and insights from video games to increase participant engagement … 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
Choosing the Best Project Management Approach for Your Team: The Cynefin Framework
“We are going agile!” This seems to be a statement often used in an effort to streamline existing business practices in favor of more efficient and customer-focused processes. However, before we make a paradigm shift in our day to day … 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
Best Practices for Enterprise Knowledge Graph Design
In my previous post, I described Enterprise Knowledge Graphs and their importance to today’s organization. Now that we understand the value of Enterprise Knowledge Graphs, I want to address questions like how we create one for a specific organization, where … Continue reading
The Role of Search Product Owners
Successful enterprise search projects begin when the new search tool is launched. Search cannot remain static because an organization’s needs, as well as its content, change over time. Without a business leader, search initiatives are unable to adapt to these … Continue reading
How Data Scientists Find Relevant Data with a Data Knowledge Graph
A better way to manage data using semantic graphs for dataset metadata modeling. A recent study from Gartner found that expensive data science resources are often “misaligned” due to the fact that data science teams are spending a majority of … Continue reading