Perspectives

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Stability: The Solid Ground for AI Development

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 …

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overhead view of old-fashioned slides and projector, indicating an archive

Taxonomies at Any Scale: Three Lessons for Archives, Corporations, and Anyone in Between

This article is a collaboration between the newest members of the Factor team, Jake Fatooh and Sam Stringer, who come from backgrounds in e-commerce and community archives, respectively. What could a community archive  and a global tech corporation possibly have in common? When it comes to taxonomy, more than you might think. Community archives focus …

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Are Your Taxonomies Costing You? 5 Smart Questions to Ask

You’ve probably noticed that here at Factor we talk with people a lot about their taxonomies. Once we establish that we’re not talking about stuffed insects or animal heads, questions still remain. Questions such as, what do our taxonomies have to do with our business? We think it’s always helpful to go back and answer …

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Humans in the Loop - Taking a Human Approach to Enterprise AI

AI First, Humans Always: Insights from Shopify’s AI Transformation

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 …

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Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs

Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs

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 …

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a CDO must combine technical expertise and business acumen to create powerful strategy, alignment, and transformation. A photo showing a victorious chess match.

The Strategic CDO: Four Success Factors for Data Leadership

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 …

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Ontologies connect objects to one another in a web-like structure

Ontology 101: What It Is, Why It Matters, and How to Use It

What if your data could connect itself? Imagine a system that stores information and understands how it all fits together. That’s the power of an ontology. What Is an Ontology? In Information Science, an ontology is a structured framework for representing knowledge within a domain. More simply, it connects objects and concepts through defined relationships, …

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