Artificial intelligence (AI) is a branch of computing that mimics human intelligence and can learn from and adapt to data input. With AI-powered search, the platform learns from data on users to automatically generate the most accurate and relevant search experiences. CMS Wire brought this important topic to us in their article, “Getting Smart Answers With Intelligent Search.”
Understanding and appropriately responding to the ways humans talk is a huge challenge for machines because of the unstructured nature and diversity of human speech.
With natural language processing (NLP), computers are able to detect language patterns and identify relationships between words to understand what people truly want. NLP is at the heart of voice assistants like Alexa and Siri, and it is why Google trained its AI to be more conversational.
AI is key to a successful search process, but most organizations have little knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied. 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 potential biases.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
