Content related to Enterprise AI Architecture Series: How to Extract Knowledge from Unstructured Content (Part 2)
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 … 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
Taxonomy Use Cases: How To Estimate Effort and Complexity
When asked to define taxonomy, I like to define it as a method rather than a thing. I typically say taxonomy is a way of categorizing things hierarchically, from general to more specific. Sounds simple enough, right? After all, who … Continue reading
Common Taxonomy Design Mistakes, Part I: Failing to Include Your End Users
The necessity of a business taxonomy has become increasingly apparent as organizations across the globe have shifted to working from home and, consequently, have an increased need for their employees to be able to quickly and independently find and discover … 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
Enterprise AI Readiness Assessment
Understand your organization’s priority areas before committing resources to mature your information and data management solutions. Enterprise Knowledge’s AI Readiness Assessment considers your organization’s business and technical ecosystem, and identifies specific priority and gap areas to help you make
targeted investments and gain tangible value from your data and information. Continue reading
Natural Language Processing and Taxonomy Design
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that processes and analyzes human language found in text. Some of the exciting capabilities that NLP offers includes parsing out the significant entities in content through a statistical analysis … Continue reading
Best Practices for Successful Metadata Governance
Metadata governance is often seen as burdensome, tough to implement, and even harder to prioritize. When organizations embark on a metadata initiative, they tend to focus on design and development rather than governance. Metadata and taxonomies are living tools that … Continue reading
Applying The Five Laws of Library Science to your Next Taxonomy or Digital Product
The rate at which we are producing new information is unprecedented. Each year our ability to capture and create information becomes easier. As a result, the need to find information becomes more and more important. Designing the structure of information … 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