GenAI for Customer Service and Experience CX AI & Analytics The retailer introduces a new dimension to the industry with the beta release of its AI-powered assistant. The brand sees Generative AI-inspired fashion as a path to a more customized, engaging shopping experience. Their conversational tool offers clients an innovative way to find outfits that…

NLP vs NLU vs NLG Know what you are trying to achieve NLP engine Part-1 by Chethan Kumar GN Natural language processing (NLP), natural language understanding (NLU), and natural language generation (NLG) are all related but different issues. A common example of this is sentiment analysis, which uses both NLP and NLU algorithms in order…

How Semantic Analysis Impacts Natural Language Processing Get ready to unravel the power of semantic analysis and unlock the true potential of your text data. Semantics gives a deeper understanding of the text in sources such as a blog post, comments in a forum, documents, group chat applications, chatbots, etc. With lexical semantics, the study…

Insurance Chatbots: Use Cases, Benefits & Best Practices To make your chatbot mimic a real agent and accurately represent your company, connect ChatGPT to it and train your bot to handle diverse inquiries while strictly sticking to your guidelines. With our no-code builder, you can create a chatbot to engage prospects through tailored content, convert…

Police use of facial recognition in Britain is spreading With AI, Deriv reduced the time spent onboarding new hires by 45 percent and minimized recruiting task times by 50 percent. Image recognition is used in security systems for surveillance and monitoring purposes. It can detect and track objects, people or suspicious activity in real-time, enhancing…

What Is Machine Learning? Definition, Types, and Examples Instead, they do this by leveraging algorithms that learn from data in an iterative process. Supervised learning supplies algorithms with labeled training data and defines which variables the algorithm should assess for correlations. Initially, most ML algorithms used supervised learning, but unsupervised approaches are gaining popularity. While…