In the rapidly evolving landscape of artificial intelligence (AI), two powerful technologies, generative AI and semantic search, have emerged as a dynamic duo, reshaping how we interact with information. The marriage of generative AI, capable of creative content creation and semantic search, which understands context and meaning, unlocks new frontiers in information retrieval, content generation 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 come together, they form a symbiotic relationship that bridges the gap between content creation and retrieval. Semantic search provides the context and understanding necessary for generative AI to produce content that aligns with user needs. This collaboration enhances the quality of generated content, making it more tailored, contextually relevant, and aligned with user intent.
As these technologies continue to evolve, the dynamic duo of generative AI and semantic search is poised to revolutionize how we interact with information, opening up new possibilities for personalized, contextually rich and intelligent user experiences.
The biggest challenge is that most organizations have little knowledge on how AI systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and it potential biases. Why is this important? Because explainability becomes critical when the results can have an impact on data security or safety.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
