Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.

If doubts about data integrity are slowing down AI projects in your organisation, join this session where Precisely and Generali will share real-world successes and the three critical factors you must address to ensure that your data minimises AI bias and hallucination while producing nuanced, coherent, and contextually relevant responses.

During this presentation you will:

• Understand the impacts around delivering data that is not AI-ready.

• Hear real world considerations in bringing accuracy, consistency, and relevance to your AI models.

• Uncover practical solutions to common AI challenges such as AI bias, and lack of contextual relevance.