All organizations have unique sets of information and data requirements. Aligning organizational strategy to the information reality is fundamental to any repeatable and measurable information/data/content practice. Organizations in search of a successful repeatable information platform need alignment in many areas so that they can build the right solutions that allow them to connect with their …
In this two-part series, I will be borrowing from the presentation I gave at the Information Architecture Conference earlier this year: Moving Information Across Boundaries, Information Theory for Information Architecture. (1 of 2)
In part 1, I wrote about Information Architecture (IA) fundamentally moving information from one place to another. While that article touched on some of the practical implications, this part focuses on how focussing on understanding the alignment of users and the capability of the communication channel can inform and focus the IA work. Information is …
In this two-part series, I will be borrowing from the presentation I gave at the Information Architecture Conference earlier this year: Moving Information Across Boundaries, Information Theory for Information Architecture. (1 of 2)
Providing concrete return on investment (ROI) numbers for IA projects is often complicated and difficult to calculate. Successful IA project executions are dependent on a solid foundation. At enterprise scale, IA builds the foundation of an organization’s information infrastructure so that users can connect with the right information across multiple platforms to create the required connection. When the foundation is flawed, the connections don’t happen….
Most business organizations know they should manage their information and content. It’s easy to sink a lot of time and resources into creating, capturing, curating, and codifying content without realizing any tangible benefits. Indeed, without an Enterprise Content Strategy (ECS), any strategic content management process is like driving without a map.
Great taxonomy and information architecture is critical for building a chatbot. We published a blog post with our friends at Lucidworks that addresses how taxonomies should be leveraged to support AI Best Practices.
Taxonomists spend their time wrestling with words, categories, relationships, and meaning. In so doing, it immediately becomes clear that context is an essential part of the work.
Often, after digging into projects it becomes clear that “search” is a trailing indicator of more systemic problems. Fixing or replacing a search engine is not always sufficient to address the underlying goals (even though it is necessary in some cases). “Search” projects often morph into knowledge management, content strategy, or information modeling initiatives…
This blog post is adapted from a Presentation by Gary Carlson at Taxonomy Bootcamp, November 2018 Taxonomies, AI, and Chatbots: Connecting People With Information There is a natural relationship between AI chatbots and taxonomies—but how do they work together? More importantly, how can taxonomies/ontologies support best AI practices? Taxonomies and ontologies interact with, support, and …
