Generative artificial intelligence (AI) is a technology that focuses on creating content such as text, images, video, and other types that are intended to closely resemble what it is prompted to create by transforming what it has learned from its training data into new outputs.
The effectiveness of generative AI depends on the quality and accuracy of the data it is trained on and has access to using complementary technologies such as Retrieval-Augmented Generation (RAG), making underlying data architecture, information architecture, and knowledge architecture critically important to enabling generative AI.
By creating the optimal conditions for integrating and managing generative AI in the enterprise, it can be confidently applied to solving complex business challenges, providing deep analytical insights, and enriching human experiences and knowledge.
