Enterprise Intelligence Bot

In any emergency call center, dispatchers play a key role in the emergency response procedure. During an emergency, a dispatcher needs to sort out a stream of incoming calls in real time, assess the incident status dynamically, deploy first-responder units most suitable for the rescuing mission, as well as coordinate with organizations that can assist the rescue. “Little Dr. Dispatch” is an AI-enabled virtual assistant for emergency dispatchers. It was co-developed by D8AI Inc. and New Taipei City Fire Department. D8AI developed the AI algorithms, system logics, user interface, software-hardware integration and deployment for Little Dr. Dispatch; NTC Fire Department was responsible for providing domain know-hows, model-training data, and testing and implementing Little Dr. Dispatch. The software system of Little Dr. Dispatch contains a natural-language processor based on a deep-learning BERT model. The main functions of Little Dr. Dispatch include (1) updating the status of any emergency incident in real time, (2) reminding the dispatcher to take proper actions at the right timing, (3) answering the dispatcher’s inquiries for task-related information, and (4) fulfilling the dispatcher’s request for an incident report that summarizes all key facts of the incident.

D8AI's Chatbot Platform makes building and using custom enterprise bots easy. An enterprise only needs to input questions and answers that will form the knowledge base for the enterprise chatbot or provide knowledge on data and workflows. This information will be organized and formatted before it is fed into our Natural Language Processing engines. Our proprietary NLP engines enable the enterprise chatbot to handle complex conversations with human users. These chatbots can be deployed over the cloud or on-premises. Users can communicate with an enterprise chatbot over multiple channels: the enterprise’s website or app, common social media platforms, telephones, kiosks, smart speakers, or even a physical robot. The D8 Chatbot Platform also comes with two platforms. The first is the DA platform that allows enterprises to edit and upload new text and workflows for training and re-training their chatbots. It also evaluates the chatbot’s performance and analyzes dialogue between the user and the chatbot. The second is the CS platform, where an enterprise chatbot and customer-care reps can collaborate in real time to serve customers. When an enterprise chatbot detects negative sentiment in a customer’s dialog, the chatbot can signal customer-care reps to takeover. For more information, contact us at www.d8ai.com