Ibm Watson Content Analytics Discovering Actionable Insight From Your Content
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Ibm Watson Content Analytics Discovering Actionable Insight From Your Content
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Author : Wei-Dong (Jackie) Zhu
language : en
Publisher: IBM Redbooks
Release Date : 2014-07-07
Ibm Watson Content Analytics Discovering Actionable Insight From Your Content written by Wei-Dong (Jackie) Zhu and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-07 with Computers categories.
IBM® WatsonTM Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.
Ibm Watson Content Analytics
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Author : Bob Foyle
language : en
Publisher:
Release Date : 2014
Ibm Watson Content Analytics written by Bob Foyle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Data mining categories.
IBM® Watson Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.
Ibm Content Analytics Version 2 2
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Author : Wei-Dong Jackie Zhu
language : en
Publisher:
Release Date : 2011
Ibm Content Analytics Version 2 2 written by Wei-Dong Jackie Zhu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Data mining categories.
Ibm Content Analytics Version 2 2
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Author : Wei-Dong Zhu
language : en
Publisher:
Release Date : 2011
Ibm Content Analytics Version 2 2 written by Wei-Dong Zhu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Data mining categories.
With IBM® Content Analytics Version 2.2, you can unlock the value of unstructured content and gain new business insight. IBM Content Analytics Version 2.2 provides a robust interface for exploratory analytics of unstructured content. It empowers a new class of analytical applications that use this content. Through content analysis, IBM Content Analytics provides enterprises with tools to better identify new revenue opportunities, improve customer satisfaction, and provide early problem detection. To help you achieve the most from your unstructured content, this IBM Redbooks® publication provides in-depth information about Content Analytics. This book examines the power and capabilities of Content Analytics, explores how it works, and explains how to design, prepare, install, configure, and use it to discover actionable business insights. This book explains how to use the automatic text classification capability, from the IBM Classification Module, with Content Analytics. It explains how to use the LanguageWare® Resource Workbench to create custom annotators. It also explains how to work with the IBM Content Assessment offering to timely decommission obsolete and unnecessary content while preserving and using content that has business value. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and use their enterprise content to improve and enhance their business operations. It is also intended as a technical guide for use with the online information center to configure and perform content analysis with Content Analytics.
Ibm Content Analytics Version 2 1
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Author : IBM Redbooks
language : en
Publisher:
Release Date : 2010
Ibm Content Analytics Version 2 1 written by IBM Redbooks and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Building Ibm Enterprise Content Management Solutions From End To End
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Author : Wei-Dong Zhu
language : en
Publisher: IBM Redbooks
Release Date : 2014-10-22
Building Ibm Enterprise Content Management Solutions From End To End written by Wei-Dong Zhu and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-22 with Computers categories.
IBM® Enterprise Content Management (ECM) solutions provide efficient and effective ways to capture content, manage the content and business processes, discover insights from the content, and derive actions to improve business processes, products, and services. This IBM Redbooks® publication introduces and highlights some of the IBM ECM products that can be implemented and integrated together to create end-to-end ECM solutions: IBM Case Manager IBM Datacap IBM Content Manager OnDemand IBM Enterprise Records IBM WatsonTM Content Analytics IBM Content Classification For each product involved in the ECM solution, this IBM Redbooks publication briefly describes what it is, its functions and capabilities, and provides step-by-step procedures for installing, configuring, and implementing it. In addition, we provide procedures for integrating these products together to create an end-to-end ECM solution to achieve the overall solution objectives. Not all of the products are required to be integrated into an ECM solution. Depending on your business requirements, you can choose a subset of these products to be built into your ECM solutions. This book serves as a hands-on learning guide for information technology (IT) specialists who plan to build ECM solutions from end-to-end, for a proof of concept (PoC) environment, or for a proof of technology environment. For implementing a production-strength ECM solution, also refer to IBM Knowledge Center, IBM Redbooks publications, and IBM Software Services.
Advances In Consulting Research
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Author : Volker Nissen
language : en
Publisher: Springer
Release Date : 2018-10-18
Advances In Consulting Research written by Volker Nissen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-18 with Business & Economics categories.
This book brings together cutting-edge research on consulting in a single volume, thus helping to make the state-of-the-art in the field of consulting research more accessible, to promote better practices in business, and to spark further research. The respective articles approach consulting from very different angles, taking into account various approaches for and fields of consulting, consulting providers, clients and markets, as well as technologies and trends. The book will benefit all consultants who want to critically reflect on their own methods and approaches in light of recent scientific findings. It also offers a helpful guide for students in Management and IT-related courses who are either considering a career in consulting or want to be informed consulting clients. Lastly, the book provides a comprehensive review of current developments and trends in consulting that will foster future contributions in this important research field.
Advances In Artificial Intelligence And Applied Cognitive Computing
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Author : Hamid R. Arabnia
language : en
Publisher: Springer Nature
Release Date : 2021-10-14
Advances In Artificial Intelligence And Applied Cognitive Computing written by Hamid R. Arabnia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Technology & Engineering categories.
The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).
Data Mining And Big Data
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Author : Ying Tan
language : en
Publisher: Springer
Release Date : 2017-07-18
Data Mining And Big Data written by Ying Tan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-18 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control.
Knowledge Management In Digital Change
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Author : Klaus North
language : en
Publisher: Springer
Release Date : 2018-02-26
Knowledge Management In Digital Change written by Klaus North and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-26 with Business & Economics categories.
This book features both cutting-edge contributions on managing knowledge in transformational contexts and a selection of real-world case studies. It analyzes how the disruptive power of digitization is becoming a major challenge for knowledge-based value creation worldwide, and subsequently examines the changes in how we manage information and knowledge, communicate, collaborate, learn and decide within and across organizations. The book highlights the opportunities provided by disruptive renewal, while also stressing the need for knowledge workers and organizations to transform governance, leadership and work organization. Emerging new business models and digitally enabled co-creation are presented as drivers that can help establish new ways of managing knowledge. In turn, a number of carefully selected and interpreted case studies provide a link to practice in organizations.