Acknowledging the limits of machine learning during AI-enabled transformation

The generative AI (genAI) hype cycle is currently experiencing its trough of disillusionment, particularly in the application of retrieval augmented generation pipelines to enterprise applications. Despite numerous attempts, these systems have struggled to reduce hallucinations in output to levels acceptable for enterprise use. However, amidst this challenging period, a promising approach is emerging: the fusion of knowledge graphs into AI applications. Will it deliver?