During a recent webinar, I discussed AI and its dependence on data foundations, emphasizing how successful AI projects—those that move beyond pilot phases, mitigate risks, and deliver measurable value—hinge on trustworthy and reliable data. We pinpointed four crucial areas for data infrastructure: • User Focus – Aligning the AI products, data, and goals with the …
Effectively scaling core business capabilities means ensuring the right information flows to the right people at the right time. Without a strong process for managing information, growth often leads to chaos instead of progress. Structured taxonomies, metadata, and governance policies turn raw data into an asset, making it easier to find, interpret, and use. These …
The Role of Information Foundations in Scaling a Business Read More »
I recently re-read a pre-LLM blog post about our work creating ontologies to support an AI-powered chatbot. My sense going into it was that our argument about the need for strong information foundations was still relevant. After re-reading it was clear that taxonomies play a crucial role in any AI application, and that role is …
A recent post I wrote on LinkedIn hit a nerve. Talking about information/semantic rich projects failing due to the lack of organizational commitment is not new, for me or others in the field. Unfortunately, the reasons for these failures are often hidden to the organizations and are often pinned on bad technology, complexity, or a …
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.
