A Conversational Digital Assistant for Intelligent Process Automation
Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes. Moving away from back-end automation, RPA automated the mouse-click on user interfaces; this outside-in approach reduced the overhead of updating
- PDF / 12,510,072 Bytes
- 238 Pages / 439.37 x 666.142 pts Page_size
- 63 Downloads / 202 Views
		    Aleksandre Asatiani · José María García · Nina Helander · Andrés Jiménez-Ramírez · Agnes Koschmider · Jan Mendling · Giovanni Meroni · Hajo A. Reijers (Eds.)
 
 Business Process Management Blockchain and Robotic Process Automation Forum BPM 2020 Blockchain and RPA Forum Seville, Spain, September 13–18, 2020 Proceedings
 
 123
 
 Lecture Notes in Business Information Processing Series Editors Wil van der Aalst RWTH Aachen University, Aachen, Germany John Mylopoulos University of Trento, Trento, Italy Michael Rosemann Queensland University of Technology, Brisbane, QLD, Australia Michael J. Shaw University of Illinois, Urbana-Champaign, IL, USA Clemens Szyperski Microsoft Research, Redmond, WA, USA
 
 393
 
 More information about this series at http://www.springer.com/series/7911
 
 Aleksandre Asatiani José María García Nina Helander Andrés Jiménez-Ramírez Agnes Koschmider Jan Mendling Giovanni Meroni Hajo A. Reijers (Eds.) •
 
 •
 
 •
 
 •
 
 •
 
 •
 
 •
 
 Business Process Management Blockchain and Robotic Process Automation Forum BPM 2020 Blockchain and RPA Forum Seville, Spain, September 13–18, 2020 Proceedings
 
 123
 
 Editors Aleksandre Asatiani University of Gothenburg Gothenburg, Sweden
 
 José María García Universidad de Sevilla Sevilla, Spain
 
 Nina Helander Tampere University Tampere, Finland
 
 Andrés Jiménez-Ramírez Universidad de Sevilla Sevilla, Spain
 
 Agnes Koschmider Kiel University Kiel, Germany
 
 Jan Mendling WU Vienna Vienna, Austria
 
 Giovanni Meroni Politecnico di Milano Milan, Italy
 
 Hajo A. Reijers Utrecht University Utrecht, The Netherlands
 
 ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notes in Business Information Processing ISBN 978-3-030-58778-9 ISBN 978-3-030-58779-6 (eBook) https://doi.org/10.1007/978-3-030-58779-6 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company		
Data Loading...
 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	