As the AI rush began, companies created directives to integrate AI into their products to avoid getting left behind. The result of this “AI for AI’s sake” mindset has been a slew of poor implementations and worse outcomes. However, it is possible to know if, when, and how to  integrate AI intentionally into a project by aligning integration with your methodology. Lee explores the spectrum of available tools, ranging from manual effort to advanced techniques leveraging multiple AI techniques. Spoiler: It’s not just LLMs! Jenkins dives deeper into the key use case around using different approaches to validate and enhance metadata tagging workflows to reduce the burden on content creators and improve quality. Hear caveats, considerations, and risks involved in adding AI automations to tagging workflows. Learn the practical applications of AI in taxonomy and tagging illustrated with real-world examples that can be implemented today, as well as insights into what’s on the horizon for tomorrow.

Explore the pivotal role of information architecture (IA) and taxonomy structures in driving organic growth and maximizing the impact of content marketing efforts. Learn how effective IA and taxonomy can enhance organic growth by optimizing content discoverability, improving user experience, and boosting search engine visibility. There’s also a synergy between ontologies and AI in augmenting content marketing strategies for future success. Rafat provides real-world examples to illustrate successful implementations and give you actionable strategies and insights to leverage IA effectively. DiNicola shows how Stand Together tackled a simplification process during its last redesign and replatforming to identify core audiences and negotiate content categorization, building the taxonomy structure that matters and works for users and authors.