Unlocking the Power of Generative AI with Knowledge Graphs: Five Considerations for Getting Started

Many organizations are realizing that they need analytics to stay competitive, including advanced analytics such as AI and generative AI (GenAI).

In addition to data analysis (such as sentiment or churn analysis), GenAI can be applied to chatbots and personalized marketing advice. To create analyses and applications that benefit their own clients and operations, GenAI will need to be applied by data and analytics specialists in many of these use cases using data from their own businesses.

This checklist report discovers five key considerations and best practices for GenAI using knowledge graphs.