Cognitive Computing: What's in for Business Process Management? An Exploration of Use Case Ideas

@inproceedings{Rglinger2017CognitiveCW,
  title={Cognitive Computing: What's in for Business Process Management? An Exploration of Use Case Ideas},
  author={Maximilian R{\"o}glinger and Johannes Seyfried and Simon Stelzl and Michael zur Muehlen},
  booktitle={Business Process Management Workshops},
  year={2017}
}
Cognitive Computing promises to fundamentally transform corporate information processing and problem solving. Building on latest advances in cognitive, data, and computer science, Cognitive Computing aims to deliver autonomous reasoning and continuous learning under consideration of contextual insights and the natural interaction of humans and machines. Cognitive Computing is expected to offer significant application opportunities for business process management (BPM). While first studies have… 

Cognitive BPM: Business Process Automation and Innovation with Artificial Intelligence

This work will empirically address the research problem by developing measurement scales for the adoption of CC in the BPM context (CBPM) and Business Process Automation (BPA) and conduct an overarching survey that explores the connection between CBPM and corporate performance (CP).

A conceptual framework for the cognitive enterprise: pillars, maturity, value drivers

ABSTRACT Digital transformation is driving the emergence of a new breed of organisations able to scale quickly, innovate throughout their processes, and lead industries and markets. In particular,

How Cognitive Processes Make Us Smarter

  • A. Zasada
  • Computer Science
    Business Process Management Workshops
  • 2019
The principle of cognitive process automation is described and its practical implications are discussed with a focus on technical synergies and the results are used to build a visual research map for cognitive BPM.

Conceptualizing a Capability-Based View of Artificial Intelligence Adoption in a BPM Context

The paper proposes a capability-based view of AI adoption based on the conception that, with the adoption of AI, an organization develops AI-enabled capabilities – abilities to mobilize AI resources to effectively exploit, create, extend, or modify its resource base.

Seven Paradoxes of Business Process Management in a Hyper-Connected World

In this research note, selected transformative trends are explored and their impact on current theories and IT artifacts in the BPM discipline is discussed to stimulate transformative thinking and prospective research in this field.

Business value of cognitive analytics technology: a dynamic capabilities perspective

Purpose Novel and emerging technologies such as cognitive analytics attract a lot of hype among academic researchers and practitioners. However, returns on investments in these technologies are

Process Forecasting: Towards Proactive Business Process Management

This paper inspires the need for process forecasting by eliciting various types of process forecasting from BPM use cases and creates a first understanding of its scope by providing a definition, a reference process, showing the steps to be followed in process forecasting initiatives, and a positioning against related BPM sub-areas.

Business Process Design for Widuri Indah School Management System with the Support of Cloud Computing

The design will be able to produce business process that can integrating between users at school and school management systems in a cloud-based process and can be used as a guide in the procurement of school management system based on clout computing.

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream

The Concept-Drift in Event Stream Framework (CDESF) is introduced that addresses some of these challenges for data streams recording the execution of a Web-based business process and performs density clustering in the transformed feature space of the process event stream, observe track concept-drift over time and identify anomalies in the form of outliers.

References

SHOWING 1-10 OF 17 REFERENCES

Towards Cognitive BPM as the Next Generation BPM Platform for Analytics-Driven Business Processes

This work presents a vision and a framework for a cognitive BPM system where the knowledge management, user interaction and analytics are employed to dynamically assess and proactively adapt the process based on the results of data analytics and continuous learning from the actions taken.

Rethinking BPM in a Cognitive World: Transforming How We Learn and Perform Business Processes

A conceptual framework for cognitive BPM is presented, a brief survey of state of the art in emerging areas of Cognitive BPM, and discussion of key directions for further research are discussed.

An analysis of BPM lifecycles: from a literature review to a framework proposal

A typology of BPM lifecycle models is presented, with common characteristics and peculiarities, and it analyzes the alignment between processes and strategy in the models’ activities to assist professionals in the adoption of a model for implementing BPM projects and for continuous improvement.

Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies

In todays dynamic business world, the success of a company increasingly depends on its ability to react to changes in its environment in a quick and flexible way. Companies have therefore identified

Business Process Management: A Comprehensive Survey

The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey and an overview of the state-of-the-art in BPM.

Cognitive Computing and Big Data Analytics

Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need to build a new class of systems that learn from experience and derive insights to unlock the value of big data.

Enabling Flexibility in Process-Aware Information Systems

This chapter deals with the flexibility needs of both pre-specified and loosely-specified processes and elicitates requirements for flexible process support in a PAIS.

A knowledge-intensive, integrated approach to problem solving and sustained learning

A unified framework is developed through an analysis of various types, aspects and roles of knowledge relevant for the kind of systems described above, which aims to provide an environment for discussion of different approaches to knowledge intensive problem solving and learning.

Applying Strategies to Recommend Groupware Tools According to Cognitive Characteristics of a Team

A series of strategies to find the best choice for a given group of people are presented, taking into account the different combinations of cognitive profiles that can arise in a GSD project, as well as the application of one of these strategies in a case study.

Cognitive Computing: Concepts, Architectures, Systems, and Applications