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 …
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 »
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 »
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 …
Aligning A.I. Approaches for Taxonomy & Tagging – Intentional Integration Read More »
