4 books on AI for Call Centers [PDF]

Updated: April 24, 2024

Books on AI for Call Centers are essential resources for startups engaged in the development of AI solutions tailored for customer service and support. These resources offer a comprehensive foundation in leveraging artificial intelligence to enhance call center operations, covering topics like natural language processing, chatbots, sentiment analysis, and automated call routing. They delve into the optimization of customer interactions, efficiency improvements, and personalization of services, highlighting the potential for cost reduction and enhanced customer satisfaction. Moreover, these books often include real-world use cases and practical strategies, enabling startups to learn from successful implementations and navigate the specific challenges and nuances of call center environments.

1. Conversational AI: Chatbots that Work
2021 by Andrew Freed



"Conversational AI: Chatbots that Work" offers valuable insights into crafting AI-powered voice and text agents tailored for customer support and diverse conversational functions. This engaging and informative guide seamlessly integrates design principles with practical methodologies for constructing and refining AI systems. Inside its pages, you'll gain expertise in sourcing training data, evaluating performance, and crafting human-like dialogues. Progressing from the development of basic chatbots, you'll ultimately master the art of designing voice assistants capable of handling entire call center operations.
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2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra



"The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Constructing Advanced Enterprise Chatbots, Voice Interfaces, and Telephony Agents on Google Cloud" offers a comprehensive resource for initiating your journey into conversational AI with Google and demonstrates how enterprise users can effectively leverage Dialogflow within the Google Cloud ecosystem. This guide encompasses fundamental principles, from Dialogflow essentials to deploying chatbots across web and social media platforms, and constructing voice agents. It goes beyond the basics, providing invaluable insights into advanced techniques, including intents, entities, and context management. Furthermore, the book explores creating multilingual chatbots, orchestrating sub chatbots within a larger conversational framework, utilizing virtual agent analytics with popular tools like BigQuery or Chatbase, and crafting voice bots. It culminates with coverage of advanced use cases, such as developing fulfillment capabilities, custom integrations, security measures for chatbots, and creating personalized voice platforms using the Dialogflow SDK and other Google Cloud machine learning APIs. By the end of this book, you will possess the expertise to craft cross-channel enterprise bots seamlessly, harnessing the power of Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase.
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3. The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable
2020 by Seth Earley



"The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable" provides a comprehensive guide to leveraging artificial intelligence and ontologies to gain a significant competitive edge in your organization. This book delves into two pivotal questions: Firstly, it explores the ways in which the future will be shaped by artificial intelligence, and secondly, it outlines the strategic actions that companies must take to secure their position in this AI-driven future. Just as the advent of the internet transformed customer behavior and entire industries in the mid-90s, artificial intelligence is poised to usher in another profound revolution in how companies create and deliver value to their customers. However, despite substantial investments in AI tools and technologies, many organizations struggle to harness its full potential. The missing piece of the puzzle is understanding the essence of the business. An ontology, a comprehensive digital model encompassing all critical business information, ranging from processes and products to personnel, bridges this gap and distinguishes between the mere promise of AI and its actual realization. Business leaders seeking to ride the AI wave, rather than be left behind, will find "The AI-Powered Enterprise" indispensable. This pioneering book not only offers a sophisticated explanation of AI principles but also provides a practical framework for applying AI solutions to a wide array of business challenges, from enhancing customer experiences and optimizing business operations to streamlining product development processes.
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4. Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics
2010 by Amy Neustein



When Amy invited me to co-author the foreword for her latest book on advancements in speech recognition, I felt truly honored. Amy's work has always been marked by her creative vigor, and I anticipated that her book would captivate both seasoned speech professionals and newcomers to the field of speech processing. Collaborating on this foreword with Bill Scholz added an extra layer of enjoyment to the task. I have known Bill since his tenure at UNISYS, where he oversaw projects that significantly shaped speech recognition tools and applications. Bill Scholz and I have been impressed by the insights and analyses presented by the authors Amy has assembled for this collection. They have shed light on numerous substantial contributions to the field. The book demonstrates that speech recognition has evolved beyond the realm of experimental future technology; it is a practical reality today, equipped with the capabilities to tackle even the most challenging tasks. Furthermore, the traditional point-click-type graphical user interface (GUI) approach is no longer sufficient, particularly given the constraints of modern handheld devices. Instead, we are witnessing the integration of voice user interfaces (VUI) and GUI into unified multimodal solutions that are evolving into the fundamental paradigm for human-computer interaction in the future.
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