Content related to Ivanov and Midkiff to Speak at the Cognitive Computing Summit 2018 in Boston, MA
Pattern Discovery through Facets
As explored in my previous blog post How Faceted Navigation Works, facets allow you to quickly and efficiently sort through your content to find the information or data that you need. Facets largely mirror taxonomic structures, and business taxonomies are … 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
How Faceted Navigation Works
What does the term ‘faceted navigation’ call to mind? For search-savvy individuals, it’s a search experience similar to that which you would find on Amazon. Facets primarily allow an individual to quickly sort through large amounts of information to locate … Continue reading
What’s in a Name? Not Your Org Chart.
An unfortunately common practice in organizations is to use an organization chart as a basis for tagging content in repositories: files, folders, and taxonomies mirror the names of the units, divisions, and teams that created them. However, organizations change. Businesses … 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
Taxonomy Design and eDiscovery: When the Lawyer Calls
We have all heard about the exponential growth of electronic information/data/content in recent years and been warned about the impending boom of data and information growth in the near future. Industry research has told us that the time spent looking … 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