Shrey Shivam – författare
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2 produkter
2 produkter
Building an Enterprise Chatbot
Work with Protected Enterprise Data Using Open Source Frameworks
Häftad, Engelska, 2019
609 kr
Skickas inom 10-15 vardagar
Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud.By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user.What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learningWho This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.
Leadership Algorithm
What It Takes to Lead in the Age of Data, AI, and Intelligent Systems
Häftad, Engelska, 2026
423 kr
Kommande
The book is a comprehensive guide for Chief Data Officers (CDOs), Chief Data and AI Officers (CDAOs), and data leaders at all levels who seek to drive meaningful business transformation through data and AI. This book addresses the unique challenges and opportunities that come with leading in the rapidly evolving field of data, offering practical strategies, real-world examples, and storytelling to guide leaders on their journey.At its core, the book explores the paradox of data leadership: while companies are inundated with data, many struggle to derive actionable insights or measurable value from it. The book dissects this disconnect by examining the organizational, cultural, and strategic hurdles that data leaders face, while offering a roadmap for overcoming them.What You Will LearnStrategic Thinking for Data MonetizationHow to design high-impact teams and structuresHow to build a data-driven cultureWho This Book is ForThe primary audience for this book consists of data managers, leaders, and Chief Data Officers (CDOs) who are tasked with defining and executing data and AI strategies within their organizations.