Chatbot Use Cases: What Bots Can Do for Different Industries

dukeeshop2023-06-19T11:56:38+00:00

Freshchat helps Casey Cardinia Library in Melbourne by offering Information-as-a-Service on live chat. Customers can query information about books and upcoming events, and live agents can relay the info using canned responses. The library has found that using Freshchat is more effective than face-to-face interactions. Whereas open-ended questions ensure that patients get a chance to talk and give a detailed review.The chatbots will guide them to self-service solutions or direct them to submit service tickets and permission requests.Healthcare chatbots can...

Call Center Experience with Voice agent: Challenges, Use Cases and Case Study

dukeeshop2023-06-17T14:59:14+00:00

Facebook Groups and Facebook-promoted posts are generating applicants for many employers. But, Once a candidate gets to your Facebook Careers Page, what are they supposed to do? The best chatbots for recruiting are the ones that solve your specific recruiting process for your candidates, your specific company workflows, and integrate into your existing ATS and technical stack. In nearly all cases, chatbots are customizable, so the best chatbot for your recruiting process and your candidate experience is the one...

Healthcare Chatbot and Conversational AI

dukeeshop2023-06-14T03:38:17+00:00

By providing patients with the ability to chat with a bot, healthcare chatbots can help to increase the accuracy of medical diagnoses. This is because bots can ask questions and gather information from patients in a more natural way than a human doctor can. Additionally, bots can also access medical records and databases to provide doctors with more accurate information. Only 26% of healthcare providers give the option to book online appointments; the rest lose out on an excellent...

Top 12 AI Use Cases for Supply Chain Optimization in 2023

dukeeshop2023-06-13T12:48:24+00:00

As COVID-19 drove customers to purchase more essential products such as toilet paper and hand sanitizer, supply chain managers had to ensure sufficient inventory and efficient delivery. The same managers would have to adjust inventory levels to match decreasing customer demand in a different situation. When trained properly, AI can plug these information gaps by combining information from multiple sources and databases to build an accurate situation report that can then be translated into a supply chain strategy. In...

Chatbot Data: Picking the Right Sources to Train Your Chatbot

dukeeshop2023-06-15T20:03:47+00:00

This article will present key ideas about creating and coding a question answering system based on a neural network. The implementation uses Google’s language model known as pre-trained BERT. Hands-on proven PyTorch code for question answering with BERT fine-tuned and SQuAD is provided at the end of the article. Keras provides the Tokenizer class for preparing text documents. The Tokenzier is constructed and is fit on the text documents using fit_on_texts . After the fit, Tokenzier allows us to use...