Content related to Project Cortex: At the Intersection of Microsoft 365 and Artificial Intelligence (AI)
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
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
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
Bringing KM, Search, and AI Together
Clients come to EK looking to empower their people, make operations more efficient, and create a competitive advantage against their peers through improved Knowledge Management (KM). They want to take advantage of cutting-edge technologies like knowledge graphs, artificial intelligence (AI), … 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