Название: Microsoft Conversational AI Platform for Developers: End-to-End Chatbot Development from Planning to Deployment
Автор: Stephan Bisser
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 292
Размер: 21.8 Mb
Язык: English

Build a chatbot using the Microsoft Conversational AI platform. This book will teach you, step by step, how to save time and money by including chatbots in your enterprise's strategy. You will learn how to be proficient at every phase of development, from collaboration on a chatbot in an end-to-end scenario, to the first mock-up phase, and on through to the deployment and evaluation phases.
Microsoft built a cloud service ecosystem for running artificial intelligence workloads in public cloud scenarios and a robust AI platform that offers a broad range of services targeting conversational artificial intelligence solutions such as chatbots.
Building a chatbot requires not just developer coding skills but special considerations, including input from business stakeholders such as domain matter experts and power users. You will learn by example how to use a great set of tools and services to bridge the gap between business and engineering.
You will learn how to successfully morph business requirements into actionable IT and engineering requirements. You will learn about Bot Framework Composer, which allows power users to initiate the building of a chatbot that can then be handed over to the development team to add capabilities through code. Coverage is given to the process of sharing implementation tasks and workloads between power users, who are using a low-code or no-code approach, and developers, who are building out the enhanced features for the chatbot.
What You Will Learn
Understand Microsoft’s comprehensive AI ecosystem and its services and solutions
Recognize which solutions and services should be applied in each business scenario
Discover no-code/low-code approaches for building chatbots
Develop chatbots using the conversational AI stack
Align business and development for improved chatbot outcomes and reduced time-to-market