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Transforming the IT Services Lifecycle with AI Technologies

eBook

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As more and more industries are experiencing digital disruption, using information technology to enable a competitive advantage becomes a critical success factor for all enterprises. This book will cover the authors’ insights on how AI technologies can fundamentally reshape the IT services... > mehr
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Autor: John Davis, Maheswaran Surendra, Kristof Kloeckner, Nicholas C. Fuller, Stefan Pappe, Larisa Shwartz, Amit Paradkar, Giovanni Lanfranchi, Dorothea Wiesmann
Anbieter: Springer
Sprache: Englisch
EAN: 9783319940489
Veröffentlicht: 20.09.2018
Format: PDF
Schutz: DRM Dieses eBook ist durch "Digital Rights Management" kurz DRM geschützt. Das bedeutet, dass Sie nach dem Kauf eines PDF-eBooks eine ACSM-Datei als Download erhalten. Sie benötigen für die Anzeige auf Ihrem Gerät die Software „Adobe Digital Editions“.

As more and more industries are experiencing digital disruption, using information technology to enable a competitive advantage becomes a critical success factor for all enterprises. This book will cover the authors’ insights on how AI technologies can fundamentally reshape the IT services delivery lifecycle to deliver better business outcomes through a data-driven and knowledge-based approach. Three main challenges and the technologies to address them are discussed in detail:

·         Gaining actionable insight from operational data for service management automation and improved human decision making

·         Capturing and enhancing expert knowledge throughout the lifecycle from solution design to ongoing service improvement

·         Enabling self-service for service requests and problem resolution, through intuitive natural language interfaces

The authors are top researchers and practitioners with deep experience in the fields of artificial intelligence and IT service management and are discussing both practical advice for IT teams and advanced research results.  The topics will appeal to CIOs and CTOs as well as researchers who want to understand the state of the art of applying artificial intelligence to a very complex problem space. There is no other book on this subject currently available.

Although the book is planned to be concise, it will comprehensively discuss topics like gaining insight from operational data for automatic problem diagnosis and resolution as well as continuous service optimization, AI for solution design and conversational self-service systems.

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