Content related to Designing IA for AI: Information Architecture Conference 2024
How Do I Implement A Taxonomy?
Congrats, you have a taxonomy! It is a strategic milestone for many organizations whether the taxonomy is instantiated in a taxonomy management system of some type, or, as we much more commonly see, stored in a spreadsheet. Regardless, your next … Continue reading
System Migration and Enterprise Search Design Powered by Enterprise Taxonomy, Automated Tagging, and Content Governance
The Challenge Staff at a US-based investment and insurance company were spending extraneous amounts of time finding information through the organization’s search experience. Users had been instructed to interact with search in specific ways (which filters to use, how to … Continue reading
Improved Customer Service and Risk Management through KM
The Challenge At over 30,000 employees, this diverse insurance organization has business areas that widely vary in information maturity, some actively leveraging taxonomies while others used basic/unorganized tagging systems or simple folder structures. Even business areas with mature taxonomies were … Continue reading
Employee 360 Views: Common Use Cases
In an earlier blog, I discussed what Employee 360 Views are and which possible sources of information can feed them. In this blog, I describe why Employee 360 Views are important from various end users’ perspectives, what employee information they … Continue reading
Employee 360 Views: What are they?
Leaders from every organization need accurate and up-to-date information about their employees to support key corporate decisions, enhance business profitability, and remain competitive in today’s world. One of the best ways to better understand your employees is through an Employee … Continue reading
360-view of a Consumer: Deduplicating and Constructing Consumer Data using an Identity Graph
The Challenge For the last 30 years, a large global digital marketing and technology firm has been collecting consumer data on adults in the United States from hundreds of primary sources to build consumer marketing databases. Because data comes from … Continue reading
AI Beyond a Prototype
How to take an AI Project Beyond a Prototype Before going “all in,” we often advise our clients to first understand and quickly validate the value proposition for adopting advanced Artificial Intelligence (AI) and Machine learning (ML) solutions within their … Continue reading
Using Wireframes to Define and Visualize Enterprise Knowledge Graphs
As a complement to our enterprise search engagements with clients, we often end up exploring how the implementation of a knowledge graph can establish the foundation for more advanced KM and data efforts, such as smart search or AI capabilities … Continue reading
Knowledge AI: Content Recommender and Chatbot Powered by Auto-Tagging and an Enterprise Knowledge Graph
The Challenge A global development bank needed a better way to disseminate information and in-house expertise to all of their staff to support the efficient completion of projects, while also providing employees with an intuitive knowledge sharing tool that is … Continue reading
Five Steps to Implement Search with a Knowledge Graph
Knowledge Graphs and Search are commonly linked together to support search use cases such as: Returning contextual relationships with search results; Displaying relevant topics in a knowledge panel; or Powering an expert finder. These advanced use cases enable an organization … Continue reading