Enterprise taxonomy work is messy. Systems are misaligned, metadata is bloated or outdated, and no one agrees on what anything means. AI won’t magically fix that, but it can help if you know how to use it. In this webinar, Factor’s Connor Cantrell walked through a recent taxonomy redesign for a Fortune 500 intranet. She …
When Shopify CEO Tobi Lütke told employees that “everyone means everyone” in the company’s AI rollout, he wasn’t being provocative for the sake of it. He was setting a new standard for how technology adoption should work–bold, all-in, and deeply human. In a company-wide memo, Lütke laid out a mandate that repositions AI from a …
AI First, Humans Always: Insights from Shopify’s AI Transformation Read More »
Information Maturity Self-Assessment Results Outcome of the interactive poster presented at IA Conference 2025 Poster Night. We conducted this exercise to get a broad, horizontal perspective from the Information Architecture community on how attendees viewed the information maturity of their organizations. Please see our written analysis below, and if you participated, thank you for voting! …
What are the implications of deploying GenAI at scale? While ethics are an emerging consideration, organizations are still moving full speed ahead with Generative AI, facing real and immediate risks related to misinformation, bias, environmental impact, and reputational damage. How do we make sense of these challenges in a way that drives responsible, scalable AI …
Libraries have spent millennia refining the art of organizing, retrieving, and safeguarding information. Their systems prioritize clarity, accountability, and ethical stewardship, qualities businesses now find indispensable as they integrate AI into their operations. While AI promises efficiency, its success depends on structured implementation, thoughtful governance, and human oversight. Look no further than the example set …
Modern AI systems are only as effective as the information they consume. Unfortunately, much of that information is messy. Taxonomies and other structured knowledge models have long helped organizations make sense of complex data. When paired with data management tools, they support everything from content discovery and analytics to personalization, integration, and lifecycle governance of …
Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs Read More »
AI is only as good as the data it’s built on. You’ve heard the promises–efficiency, automation, and insight at scale. But the reality is, AI can only deliver if it has high-quality, well-structured, and easily accessible information to work with. Enterprises rushing to integrate AI into high-stakes decision-making and strategic initiatives without first addressing their …
Building the Right Information Foundations for AI Enablement Read More »
The role of Chief Data Officer (CDO) has evolved. No longer just a technical steward of data assets, today’s CDO is a strategic architect of business value. As enterprises recognize data as both a competitive advantage and a risk factor, the CDO operates at the crossroads of technology, business strategy, and organizational change. This is …
The Strategic CDO: Four Success Factors for Data Leadership Read More »
Most organizations would never tolerate an IT system with no security controls or a sales process that relies on guesswork. Yet when it comes to managing the raw material of modern business, many enterprises operate in a state of ambiguity. Critical decisions are made without a clear picture. Business functions work at cross-purposes. The same …
Change is inevitable. The way your organization structures and manages information today won’t be the same five years from now or even next year. But without a strong governance plan, even the best-designed taxonomies can become disorganized, inefficient, or misaligned with business needs. In this webinar, Paula Little & Connor Cantrell cut through the complexity …
Future-Proofing Your Organization’s Taxonomy With a Governance Plan Read More »
