AI Integration and aligning AI approaches for taxonomy and tagging

Aligning A.I. Approaches for Taxonomy & Tagging – Intentional Integration

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As the AI rush began, many companies raced to integrate AI into their products to stay competitive. Unfortunately, this “AI for AI’s sake” mindset often led to poor implementations and subpar outcomes. But there’s a better way forward. Hosted by Factor Taxonomist Erik Lee, this webinar offers a practical guide to integrating AI intentionally and …

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how to fix data silos

How Data Silos Impact Business Decision-Making

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Data silos, which are effectively isolated data repositories within an organization, are one of the most common data management problems. They create barriers to information sharing and information use in general, hindering business performance by adding friction to collaboration, decision-making, and business operations. This sand in the gears of business processes is so common that …

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A snapshot of an AI workflow modeled in Langflow, an open tool for moderating LLM-system workflows. Image source: Langflow Docs.

Checking In on the State of Linked Data at the Dawn of RAG

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A snapshot of an AI workflow modeled in Langflow, an open tool for moderating LLM-system workflows. Image source: Langflow Docs. As Information Architects, it has been fascinating watching our collective understanding of generative AI improve over the last few years, myself included. Openly accessible models*, frameworks and datasets, available via Ollama and Huggingface, have enabled …

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Semantic Mindset - Factor

Building an Organization’s Semantic Mindset

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Missed the Henry Stewart Semantic Data Conference keynote? Factor has you covered with an exclusive, can’t-miss webinar on the same topic. Aligning your organization around a common purpose requires an often overlooked transformation – a shift to a semantic mindset. Organizations with a semantic mindset possess a shared understanding of the meaning of core business …

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Information Architecture and Data Strategy

Information Architecture and Data Strategy for Expert and Community-Generated Product Support Content

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About the Project Factor recently partnered with a well-known Fortune 500 business and finance software provider on an enhanced Alignment Accelerator focused on information architecture for customer support and customer self-help content. This was a new workstream with a client with which Factor has worked on several previous projects. Factor’s relationship with the client began …

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Term Formation in Taxonomy

On Term Formation: Consistency, Standards, and Exceptions

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As taxonomy consultants at Factor, we are frequently engaged to help our clients clean up and improve existing taxonomies; these have often developed ad hoc and, often, have not been constructed or managed by taxonomists. This is fine! Having controlled lists of tags is better than not…having controlled lists of tags, and it’s a great …

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cross-platform content strategy case study

How to Inspire Trust in Content Through a Cross-Platform Content Strategy

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About the Client The company: well-known consumer software company with several major brands/products related to financial services. Our stakeholders were part of the IT department and were responsible for managing self-help content on a corporate intranet site. The Challenge It’s something we see at almost every organization we work with: content silos. For every content …

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Taxonomy Inventory and Audit for a Fortune 500 Software Company

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About the Project Following an Alignment Accelerator workshop, the client, a Fortune 500 publisher of business and finance software, engaged Factor to perform an inventory and audit of metadata and taxonomies that its internal service organization used for content management. This was the first step on the roadmap developed in collaboration with Factor during the …

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A screen shot from a search engine shows results for AI risks, including: transparency, ethical dilemmas, dependence on AI, unclear legal regulation, misinformation, bias, security risks, job displacement, AI race, and other unintended consequences.

How Can Information Architecture Help Address AI Risk?

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There’s no shortage of stories about “AI gone wrong” in the news, on social media, and here on LinkedIn. For example, the AI Incident Database, in what is almost certainly an incomplete collection, lists nearly 4000 of them. Regardless of the metric used, these incidents damage businesses and do real harm to people. In this …

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