Business Process Management Blockchain and Robotic Process Automation Forum 1st edition by Aleksandre Asatiani, Jose Maria Garcia, Nina Helander, Andres Jimenez Ramirez, Agnes Koschmider, Jan Mendling, Giovanni Meroni, Hajo Reijers ISBN 3030587797 9783030587796

Business Process Management Blockchain and Robotic Process Automation Forum1st edition by Aleksandre Asatiani,  Jose Maria Garcia, Nina Helander, Andres Jimenez Ramirez, Agnes Koschmider, Jan Mendling, Giovanni Meroni, Hajo A. Reijers- Ebook PDF Instant Download/Delivery: 3030587797, 978-3030587796 

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Product details:

ISBN 10:     3030587797 

ISBN 13: 978-3030587796 

Author:     Aleksandre Asatiani,  Jose Maria Garcia, Nina Helander, Andres Jimenez Ramirez, Agnes Koschmider, Jan Mendling, Giovanni Meroni, Hajo A. Reijers

This book constitutes the proceedings of the Blockchain and Robotic Process Automation (RPA) Forum which was held as part of the 18th International Conference on Business Process Management, BPM 2020. The conference was planned to take place in Seville, Spain, in September 2020. Due to the COVID-19 pandemic the conference took place virtually.

The Blockchain Forum and the RPA Forum have in common that they are centered around an emerging and exciting technology. The blockchain is a sophisticated distributed ledger technology, while RPA software allows for mimicking human, repetitive actions. Each of these have the potential to fundamentally change how business processes are being orchestrated and executed in practice. The BPM community has embraced these technologies as objects of analysis, design, development, and evaluation.
The 14 full plus one short paper presented in this volume were carefully reviewed and selected from a total of 28 submissions.

 

Business Process Management Blockchain and Robotic Process Automation Forum 1st Table of contents:

Blockchain Forum

Silver Bullet for All Trust Issues? Blockchain-Based Trust Patterns for Collaborative Business Processes
This section explores how blockchain can solve trust issues in collaborative business processes. It discusses blockchain’s ability to provide secure, transparent, and immutable records, ensuring trust among parties involved in transactions or collaborative work.

Blockchain Oracles: A Framework for Blockchain-Based Applications
Introduces the concept of blockchain oracles, which are third-party services that connect smart contracts with external data sources, enabling the blockchain to interact with the real world. It presents a framework for implementing oracles to facilitate blockchain-based applications.

Foundational Oracle Patterns: Connecting Blockchain to the Off-Chain World
This section discusses the foundational patterns for oracles that enable communication between the blockchain (on-chain) and external sources of information (off-chain), such as APIs or traditional databases, enhancing the utility and versatility of blockchain applications.

The Role of Modeling in Blockchain Process Design
Examines the importance of modeling when designing blockchain-based business processes, highlighting how models help visualize, analyze, and streamline processes before their implementation on a blockchain network.

External Data Monitoring Using Oracles in Blockchain-Based Process Execution
Focuses on how oracles are used to monitor and verify external data sources, ensuring that blockchain processes can accurately reflect off-chain events. This is especially important for processes like supply chain management or financial transactions, where real-world data impacts blockchain-based decisions.

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Robotic Process Automation Forum

A Conversational Digital Assistant for Intelligent Process Automation
Explores the development of digital assistants powered by artificial intelligence (AI) that can engage in natural language conversations, enabling more intuitive and efficient robotic process automation (RPA) in business processes.

Is Robotic Process Automation Becoming Intelligent? Early Evidence of Influences of Artificial Intelligence on Robotic Process Automation
This section looks at the emerging role of AI in RPA, offering insights into how AI-driven capabilities are enhancing traditional RPA, making it more adaptive, predictive, and capable of handling more complex tasks.

Automated Generation of Executable RPA Scripts from User Interface Logs
Discusses techniques for generating executable RPA scripts automatically by analyzing user interface (UI) logs, reducing the manual effort needed to script RPA tasks and streamlining the process automation workflow.

Integrating Robotic Process Automation into Business Process Management
Explains how RPA can be integrated into existing business process management (BPM) frameworks, offering guidance on aligning process automation with organizational workflows for more efficient operations.

How to Trust a Bot: An RPA User Perspective
Addresses the issue of trust in RPA systems from a user perspective, focusing on how to build confidence in robotic systems and the importance of transparency, auditing, and reliability in ensuring successful automation.

Towards a Taxonomy of Cognitive RPA Components
Proposes a taxonomy for cognitive components in RPA, identifying the key technologies and capabilities, such as machine learning and natural language processing, that enable RPA systems to handle more advanced, decision-making tasks.

Towards an OpenSource Logger for the Analysis of RPA Projects
Presents the idea of an open-source logging system that can track and analyze RPA projects, providing insights into the performance, errors, and effectiveness of robotic processes for optimization and debugging.

Beyond the Hype: RPA Horizon for Robot-Human Interaction
Discusses the future of RPA with a focus on human-robot interaction. It looks at how RPA systems are evolving to better collaborate with human workers, enhancing productivity and streamlining processes through seamless interaction.

A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities
This section introduces a framework for evaluating the suitability of RPA for different business process activities, helping organizations assess which processes can benefit most from automation.

From Robotic Process Automation to Intelligent Process Automation
Explores the transition from traditional RPA to Intelligent Process Automation (IPA), which incorporates AI and machine learning to enable more autonomous, adaptive, and insightful automation across business processes.

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