Val Swisher is the Founder and CEO of Content Rules, Inc. Val enjoys helping companies solve complex content problems. She is a well-known expert in content strategy, structured authoring, global content, content development, and terminology management. Her customers include industry giants such as Google, Meta, Cisco, Visa, and Roche.

Val has been using natural language processing with her customers for more than 16 years. She has written and spoken on AI topics at conferences all over the world. Val believes that knowledge is power and the key to successful AI is understanding how best to harness the technology and make it work for you.

Her latest book is The Personalization Paradox: Why Companies Fail (and How to Succeed) at Creating Personalized Experiences at Scale (XML Press, 2021) with co-author Regina Lynn Preciado. She is on the Advisory Board for the Technical Communications Program at the University of North Texas. When not working with customers or students, Val can be found sitting behind her sewing machine working on her latest quilt.

Preparing Your Content for AI: Curation, Creation, and Cultivation

The quality of your content is the single most important factor in determining the performance of your AI system. The adage ‘Garbage in, garbage out’ has never been more relevant. Many organizations possess years, or even decades, of content that may be outdated, inconsistent, inaccurate, or simply not up to the mark for AI utilization.In this session, attendees will learn how to transform their content into a valuable asset for AI readiness.
We will explore:

The Importance of Curation: Understand why carefully selecting and refining your content is crucial for effective AI training and outcomes.
How to Curate Content for AI: Dive into practical strategies for evaluating, cleaning, and organizing your content to meet AI requirements, ensuring it is accurate, relevant, and diverse.
Creating Three Training Sets from Your Curated Content: Learn how to develop three distinct training sets—training, validation, and test sets. Each set serves a specific purpose in training your AI models, optimizing their performance, and validating their accuracy in real-world applications.

Join Val to discover how to elevate your content from ‘just plain not good’ to ‘AI-ready,’ unlocking the full potential of your AI systems.

In this session, attendees will learn:

• How content quality directly impacts AI success.
• Practical strategies for curating content.
• The use of training sets and how to create them.