Stefan Pappe – författare

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 covers 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 interfacesThe 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 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.  Although the book is concise, it 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.

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 covers 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 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. 

Although the book is concise, it 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.

Die Verwendung standardisierter Kommunikationsprotokolle erlaubt den Fernzugriff auf Datenbanken auch in offenen Netzen, in denen Rechner unterschiedlicher Architektur (bezüglich der Hardware, der Betriebssysteme und der Datenbanksysteme) kooperieren. In dem Buch werden Kommunikationsfunktionen entwickelt für einen dem Client/Server-Modell entsprechenden Datenbankzugriff in offenen Rechnernetzen (Remote Database Access - RDA). Zunächst werden bestehende Ansätze für den Fernzugriff auf Datenbanken mit Hilfe eines geeigneten Modells klassifiziert. Dabei werden verteilte Datenbanksysteme, föderative Datenbanksysteme und verteilte Transaktionssysteme betrachtet. Der Entwurf der RDA-Kommunikationsfunktionen wird in die Verbindungsverwaltung, den Transfer von Datenbankoperationen, die Unterstützung der Datenrepräsentation und die Transaktionsverwaltung untergliedert. Als Schwerpunkt wird die Verwaltung verteilter Transaktionen in offenen Systemen behandelt. Da offene Systeme sich bezüglich ihrer Zuverlässigkeit unterscheiden können, werden in den hier eingeführten Transaktionsprotokollen sichere und unsichere Systeme modelliert. Für sichere Systeme wird trotz der Beteiligung unsicherer Systeme eine konsistente Terminierung einer Transaktion in endlicher Zeit garantiert.