In the swiftly evolving realm of artificial intelligence (AI), two cutting-edge technologies, generative AI and semantic search, have emerged as a formidable pair, transforming the way we interact with information. The fusion of generative AI, known for its ability to create innovative content and semantic search, which comprehends context and meaning, is breaking new ground in information retrieval, content creation and user experience. This subject came to our attention from Open Source For U in their article, “Generative AI: The Things It Can Help With.”

When generative AI and semantic search are combined, they form a synergistic relationship that seamlessly integrates content creation and retrieval. Semantic search offers the contextual understanding needed for generative AI to produce content that meets user requirements precisely. This collaboration significantly enhances the quality of generated content, making it more tailored, contextually appropriate and aligned with user intent.

As these technologies continue to advance, the powerful combination of generative AI and semantic search is set to revolutionize our interaction with information. This union promises to deliver personalized, contextually rich and intelligent user experiences, opening up new possibilities.

One of the biggest challenges is that most organizations lack a clear understanding of how AI systems make decisions and how to interpret the results produced by AI and machine learning. Explainable AI addresses this issue by enabling users to comprehend and trust the outcomes generated by machine learning algorithms. It provides a detailed description of an AI model, its expected impact and potential biases. This is crucial because explainability becomes essential when the results can significantly affect data security or safety.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.