Content related to Common Mistakes Made When Selecting Knowledge Management Technology
We have too many KM tools. How do we declutter?
Many of our clients have amassed an impressive array of KM tools throughout the years, but it’s not always impressive in a positive way. KM tools cover a wide range of solutions, spanning from content and document management systems, learning … Continue reading
Investing in Development Standards: The Benefits (Part 1)
I recently had the opportunity to kick off two development projects and onboard two new developers to the EK team. As I introduced the two developers to their projects, I quickly earned myself a new nickname, the Code Police, and … Continue reading
The Importance of a Semantic Layer in a Knowledge Management Technology Suite
One of the most common Knowledge Management (KM) pitfalls at any organization is the inability to find fresh, reliable information at the time of need. One of, if not the most prominent, causes of this inability to quickly find information … Continue reading
Understanding the Business Value of Headless CMS
Overview A headless CMS, one in which the content authoring “body” is separated from the content distribution channels (or heads), allows an organization to: Author once and publish to multiple channels; and Reuse the same content in multiple contexts. This … Continue reading
What is a Headless CMS?
Traditional content management systems (CMS) offer a full “one-stop-shop” for your organization’s content management needs. They allow you to author, manage, and deliver content to your end users all from a single solution. This approach is often called “monolithic,” as … Continue reading
Microservices. Too Much of a Good Thing?
At GOTO Chicago 2016, a senior architect for Uber presented how, at the time, Uber had over 1,000 microservices. The brilliant minds at the ride-sharing company took this design pattern to the extreme. It did not take long to see … Continue reading
How to Setup a .Net Core API with Neo4j
One of the leading technologies that we utilize at Enterprise Knowledge to help our clients make sense of their data is a graph database. Graph databases, such as Neo4j, allow software engineers to build more efficient systems that can answer questions such as:
How do I identify the relationships within my data?
Will my application scale as the dataset grows?
Can the database be easily updated as our needs change? Continue reading
How to Optimize Search Relevance: Boosting and Filtering
What if when searching your company’s intranet for the terms “service desk,” the first 10 results have nothing to do with a web page where you can submit an IT service ticket? Or what if you are searching for “reports,” … Continue reading
Three Things You can do Today to Get the Most out of Microsoft 365’s Project Cortex
Project Cortex is Microsoft’s new AI offering as part of its Microsoft 365 Suite. It will have several exciting features that organizations can leverage to make connections between content, data, and experts. Cortex will be able to surface knowledge that … Continue reading
Give the People What They Want – An Approach to Thoughtful KM Technology
Presented by Todd Fahlberg, Knowledge Management Consultant, on May 19, 2020. Implementing a meaningful Knowledge Management technology brings many levels of challenges, even in the most innovative, user-centric organizations. In this session, Todd Fahlberg shares proven practices on how to … Continue reading