AI systems need more than intelligence; they need context. Without ongoing, relevant context, model outputs can misinterpret information and overlook important details. That’s why context engineering is becoming central to producing outputs that you can trust.
 
Join us on 29 January to learn how GenAI and graph intelligence help provide the foundational context AI needs to be reliable and impactful.

We’ll cover:

• How context shapes reasoning, problem solving, and explainability in AI applications
• Specific techniques for building effective context pipelines that improve your AI
• Practical strategies that align AI outputs with real-world knowledge and user intent