Christian Czarnecki – författare

This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects. Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities. RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models. At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.

This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects.

Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities.

RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models.

At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.

This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects.

Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities.

RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models.

At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.

The book describes how these reference solutions can be used in a practical context: it presents the latest insights into their development, highlights lessons learned from numerous international projects and combines them with well-founded research results in enterprise architecture management and reference modeling.

This book reflects the tremendous changes in the telecommunications industry in the course of the past few decades – shorter innovation cycles, stiffer competition and new communication products. It analyzes the transformation of processes, applications and network technologies that are now expected to take place under enormous time pressure.

The International Telecommunication Union (ITU) and the TM Forum have provided reference solutions that are broadly recognized and used throughout the value chain of the telecommunications industry, and which can be considered the de facto standard. The book describes how these reference solutions can be used in a practical context: it presents the latest insights into their development, highlights lessons learned from numerous international projects and combines them with well-founded research results in enterprise architecture management and reference modeling. The complete architectural transformation is explained, from the planning andset-up stage to the implementation. Featuring a wealth of examples and illustrations, the book offers a valuable resource for telecommunication professionals, enterprise architects and project managers alike.

The book describes how these reference solutions can be used in a practical context: it presents the latest insights into their development, highlights lessons learned from numerous international projects and combines them with well-founded research results in enterprise architecture management and reference modeling.

Ein Lehrbuch für die anwendungsorientierte Seite der WirtschaftsinformatikDieses Lehrbuch der Wirtschaftsinformatik ist vor allem eines: anwendungsorientiert. Nutzen Sie die zahlreichen Fallbeispiele, um die Kerninhalte des Fachgebiets zu erlernen und einen Einblick in die umfassenden Einsatzmöglichkeiten der Informationstechnologien zu gewinnen, die in Zeiten der Digitalisierung für Wirtschaft und Gesellschaft unverzichtbar sind.Von den Grundbegriffen der Informations- und Kommunikationstechnologie bis zur strategischen Planung, Nutzung und Entwicklung von Informationssystemen – dieses Buch bietet Ihnen alle Werkzeuge zur Integration neuer Konzepte in bestehende Softwarearchitekturen.Grundwissen und Handlungsempfehlungen für die PraxisDie Autoren führen Sie mit diesem Lehrbuch unter anderem in die folgenden anwendungsorientierten Aspekte der Wirtschaftsinformatik ein:·         Bedeutung und Arten betrieblicher Informationssysteme sowie Klärung grundlegender Begriffe·         Digitale Transformation: Social Media, das Internet der Dinge, Industrie 4.0 und Mobile Business·         Enterprise-Resource-Planning-Systeme (ERP)·         Electronic Business mit Customer Relationship Management (CRM) und Supply Chain Management (SCM)·         Data Warehouse, Business Intelligence, Big Data und Blockchain Durch den hohen Praxisbezug des Lehrbuchs lernen Sie nicht nur die Grundzüge des Informationsmanagements kennen, sondern erhalten auch einen Einblick in die Beziehung zwischen Nutzer und Infrastruktur im jeweiligen betrieblichen Anwendungssystem.Auf diese Weise kombinieren die Autoren geschickt die multidimensionalen Gestaltungsansätze des Business Engineerings mit der betrieblichen Anwendung der vorgestellten Werkzeuge.Das Werk richtet sich an ein breites PublikumMit dem ausgeprägten Fokus auf die Anwendbarkeit der Informationstechnologien ist dieses Lehrbuch der Wirtschaftsinformatik eine Empfehlung für:·         Studierende, Dozenten und Wissenschaftler aus verschiedenen Bereichen der Wirtschaftsinformatik·         Praktiker wie Ingenieure aus Fach- und IT-Abteilungen

Ein Lehrbuch für die anwendungsorientierte Seite der Wirtschaftsinformatik

Dieses Lehrbuch der Wirtschaftsinformatik ist vor allem eines: anwendungsorientiert. Nutzen Sie die zahlreichen Fallbeispiele, um die Kerninhalte des Fachgebiets zu erlernen und einen Einblick in die umfassenden Einsatzmöglichkeiten der Informationstechnologien zu gewinnen, die in Zeiten der Digitalisierung für Wirtschaft und Gesellschaft unverzichtbar sind.

Von den Grundbegriffen der Informations- und Kommunikationstechnologie bis zur strategischen Planung, Nutzung und Entwicklung von Informationssystemen – dieses Buch bietet Ihnen alle Werkzeuge zur Integration neuer Konzepte in bestehende Softwarearchitekturen.

Grundwissen und Handlungsempfehlungen für die Praxis

Die Autoren führen Sie mit diesem Lehrbuch unter anderem in die folgenden anwendungsorientierten Aspekte der Wirtschaftsinformatik ein:

·         Bedeutung und Arten betrieblicher Informationssysteme sowie Klärung grundlegender Begriffe

·         Digitale Transformation: Social Media, das Internet der Dinge, Industrie 4.0 und Mobile Business

·         Enterprise-Resource-Planning-Systeme (ERP)

·         Electronic Business mit Customer Relationship Management (CRM) und Supply Chain Management (SCM)

·         Data Warehouse, Business Intelligence, Big Data und Blockchain

 

Durch den hohen Praxisbezug des Lehrbuchs lernen Sie nicht nur die Grundzüge des Informationsmanagements kennen, sondern erhalten auch einen Einblick in die Beziehung zwischen Nutzer und Infrastruktur im jeweiligen betrieblichen Anwendungssystem.

Auf diese Weise kombinieren die Autoren geschickt die multidimensionalen Gestaltungsansätze des Business Engineerings mit der betrieblichen Anwendung der vorgestellten Werkzeuge.

Das Werk richtet sich an ein breites Publikum

Mit dem ausgeprägten Fokus auf die Anwendbarkeit der Informationstechnologien ist dieses Lehrbuch der Wirtschaftsinformatik eine Empfehlung für:

·         Studierende, Dozenten und Wissenschaftler aus verschiedenen Bereichen der Wirtschaftsinformatik

·         Praktiker wie Ingenieure aus Fach- und IT-Abteilungen

Generative KI eröffnet neue Möglichkeiten – doch viele Unternehmen fragen sich: Wie findet man die richtige Idee und setzt sie erfolgreich um?Dieses Buch zeigt eine praxisbewährte Methode, mit der aus Herausforderungen konkrete GenAI-Lösungen entstehen. Die GenAI-Matrix macht den Weg von bestehenden Erfolgsbeispielen zu eigenen Anwendungen nachvollziehbar.Schritt für Schritt führt das Werk von der Ideengenerierung über Bewertung bis zur Umsetzung – klar strukturiert, praxisnah und direkt übertragbar auf den Unternehmensalltag.