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Understanding Semantic Analysis NLP

Why NLP is a must for your chatbot Neri Van Otten is the founder of Spot Intelligence, a machine learning engineer with over 12 years of experience specialising in Natural Language Processing (NLP) and deep learning innovation. For semantic search, you should have a collection of documents or texts you want to search through. Natural… Continue reading Understanding Semantic Analysis NLP

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Symbolic vs Subsymbolic AI Paradigms for AI Explainability by Orhan G. Yalçın

How does artificial intelligence understand signs and symbols? “Neats” hope that intelligent behavior is described using simple, elegant principles (such as logic, optimization, or neural networks). “Scruffies” expect that it necessarily requires solving a large number of unrelated problems. Neats defend their programs with theoretical rigor, scruffies rely mainly on incremental testing to see if… Continue reading Symbolic vs Subsymbolic AI Paradigms for AI Explainability by Orhan G. Yalçın

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Improving Health Insurance Chatbots with Conversational AI

What is Insurance Chatbots? + 5 Use-case, Examples, Tools & Future Undoubtedly, the accuracy of these chatbots will increase as well but successful adoption of healthcare chatbots will require a lot more than that. It will require a fine balance between human empathy and machine intelligence to develop chatbot solutions that can address healthcare challenges.… Continue reading Improving Health Insurance Chatbots with Conversational AI

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What Is an Insurance Chatbot? +Use Cases, Examples

Insurance Chatbots: Use Cases & Examples Advancements in ML have provided benefits in terms of accuracy, decision-making, quick processing, cost-effectiveness, and handling of complex data [2]. Chatbots, also known as chatter robots, smart bots, conversational agents, digital assistants, or intellectual agents, are prime examples of AI systems that have evolved from ML. chatbot for health… Continue reading What Is an Insurance Chatbot? +Use Cases, Examples

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