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Condición: New.

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Paperback. Condición: New. 1st ed. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. 1st ed. 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.…

Paperback. Condición: New. 1st ed. 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.…

Taschenbuch. Condición: Neu. Neuware -In a world flooded with data but starved for insight, this book gives data leaders the blueprint they've been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most datärich enterprises can fall victim to the "data illusion" and how leaders can break the cycle.More than theory, this is a hands¿on guide that shows you how to design high¿impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you'll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you'll learn to leverage it as a catalyst for innovation and scale.Whether you're steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven culture.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Taschenbuch. Condición: Neu. Neuware - In a world flooded with data but starved for insight, this book gives data leaders the blueprint they ve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most data rich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a hands on guide that shows you how to design high impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you ll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you ll learn to leverage it as a catalyst for innovation and scale.Whether you re steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AI.…

Paperback. Condición: Brand New. 385 pages. 9.00x6.00x0.75 inches. In Stock.

Condición: New. In English.

Paperback. Condición: New. 1st ed. 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.…

Condición: New.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 408 | Sprache: Englisch | Produktart: Bücher | 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. Yoüll 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 used Focus 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 chatbot Integrate chatbots with internal data sources using APIs Discover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.…

Paperback. Condición: New. 1st ed. 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.…

Taschenbuch. Condición: Neu. Neuware -In a world flooded with data but starved for insight, this book gives data leaders the blueprint they've been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most datärich enterprises can fall victim to the "data illusion" and how leaders can break the cycle.More than theory, this is a hands¿on guide that shows you how to design high¿impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you'll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you'll learn to leverage it as a catalyst for innovation and scale.Whether you're steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven culture 380 pp. Englisch.…

Paperback. Condición: new. Paperback. In a world flooded with data but starved for insight, this book gives data leaders the blueprint theyve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most datarich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a handson guide that shows you how to design highimpact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, youll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, youll learn to leverage it as a catalyst for innovation and scale.Whether youre steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven culture mso-fareast-language: EN-IN;">Whether youre steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Softcover. Condición: gut. 2019. Building an Enterprise Chatbot In englischer Sprache. pages.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a world flooded with data but starved for insight, this book gives data leaders the blueprint they ve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most data rich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a hands on guide that shows you how to design high impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you ll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you ll learn to leverage it as a catalyst for innovation and scale.Whether you re steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AI 357 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a world flooded with data but starved for insight, this book gives data leaders the blueprint they ve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most data rich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a hands on guide that shows you how to design high impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you ll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you ll learn to leverage it as a catalyst for innovation and scale.Whether you re steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AI 380 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Paperback. Condición: new. Paperback. In a world flooded with data but starved for insight, this book gives data leaders the blueprint theyve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most datarich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a handson guide that shows you how to design highimpact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, youll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, youll learn to leverage it as a catalyst for innovation and scale.Whether youre steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven culture mso-fareast-language: EN-IN;">Whether youre steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In a world flooded with data but starved for insight, this book gives data leaders the blueprint they've been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most datärich enterprises can fall victim to the "data illusion" and how leaders can break the cycle.More than theory, this is a hands¿on guide that shows you how to design high¿impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you'll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you'll learn to leverage it as a catalyst for innovation and scale.Whether you're steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven cultureSpringer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, 69115 Heidelberg 380 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Concepts are explained using use-cases from the banking and insurance sectorDeploys a complete in-house built chatbot using open source stacks&nbspCovers popular chatbot frameworks such as Microsoft .…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Paperback. Condición: new. Paperback. In a world flooded with data but starved for insight, this book gives data leaders the blueprint theyve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most datarich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a handson guide that shows you how to design highimpact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, youll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, youll learn to leverage it as a catalyst for innovation and scale.Whether youre steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.What You Will LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven culture mso-fareast-language: EN-IN;">Whether youre steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…