From Hallucination to Precision: 
Why Your AI Needs the Right Data

Speaker: Nina Vorobiev, API Solution Consultant, & Nicholas Quaass, Global Sales Enablement Manager

As AI tools become more deeply embedded in knowledge work, one challenge remains stubbornly unresolved: hallucination. Even the most advanced models can produce confident but false outputs—undermining trust, accuracy, and efficiency. So how can this be prevented?

The webinar will cover:

• The core techniques that significantly reduce AI hallucinations by grounding model outputs in trusted data.
• Best practices for implementing these techniques effectively, including guidance on data curation, chunking, and retrieval.
• The options available to apply these methods in your own workflow—from standalone tools to customizable integrations into enterprise systems.

Do you have any questions? Get in touch with us: webinars@statista.com. 

Download slides now