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

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

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

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

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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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deploying generative ai in enterprise applications poses ethical risks

Navigating the Ethical Minefield of GenAI

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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 …

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Implementing Enterprise AI Like a Librarian

4 Tips for Implementing AI Like a Librarian

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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 …

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Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs

Enhancing AI Effectiveness with Taxonomies and Knowledge Graphs

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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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information foundations for enterprise ai enablement

Building the Right Information Foundations for AI Enablement

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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 …

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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

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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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Future-Proofing Your Organization’s Taxonomy With a Governance Plan

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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 …

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