Intelligent business process management is the next generation of enterprise BPM, leveraging recent technological advances to attain a degree of operational responsiveness not possible with yesterday’s business process platform. Today, companies of all types want faster and better insight into their operations. This growing demand for operational intelligence has given rise to a new, "smarter" variety of business process management suites (BPMSs). An intelligent BPM suite provides the functionality needed to support more intelligent business operations, including real-time analytics, extensive complex event processing (CEP) and business activity monitoring (BAM) technologies and enhanced mobile, social and collaborative capabilities. Dubbed ‘iBPMS” by Gartner Group, who describes the intelligent BPM Suite as having 10 core components: A process orchestration engineA model-driven composition environmentContent interaction managementHuman interaction managementConnectivityActive analytics (sometimes called continuous intelligence)On-demand analyticsBusiness rules management (BRM)Management and administration for the suite’s technical aspectsA process component registry/repository An intelligent BPM suite provides the functionality needed to support more intelligent business operations, including real-time analytics, extensive complex event processing (CEP) and business activity monitoring (BAM) technologies and enhanced mobile, social and collaborative capabilities. The co-authors of this important book describe various aspects and approaches with regard to impact and opportunity.

Intelligent Adaptability describes how ACM is emerging in the era of machine intelligence and automation technologies, including Big Data, digitization, Internet of Things (IoT), artificial intelligence (AI), intelligent BPMS and BPM Everywhere. WfMC Chair, Keith Swenson states; “A platform for digital transformation brings a number of different capabilities together: processes, agents, integration, analytics, decisions, and—perhaps most important—case management.” In this book, you will learn how support of adaptive, data-driven processes empowers knowledge workers to know in real-time what is happening at the edge points, and to take actions through the combination of rule-driven guidance and their own know-how. It is not a traditionally-automated system but intelligent adaptability, where technology doesn’t replace human decision-making but extends the reach of the knowledge worker; making data actionable. In award-winning case studies covering industries as a diverse as law enforcement, public safety, transportation, insurance, banking, state services and healthcare, you will find instructive examples for how to transform your own organization. Leading industry analysts study the awards entries for emerging industry trends. Read the chapter, The Seven Trends Impacting The Case Management Landscape by Connie Moore, Digital Clarity Group. This important book follows these ground-breaking best-sellers on ACM; Best Practices for Knowledge Workers, Thriving on Adaptability, Empowering Knowledge Workers, Taming the Unpredictable, How Knowledge Workers Get Things Done, and Mastering the Unpredictable and provides important papers by thought-leaders in this field, together with practical examples.

Business rules describe the operations, definitions and constraints that apply to an organization. Business rules can apply to people, processes, corporate behavior and computing systems in an organization, and are put in place to help the organization achieve its goals. Business Rules: Why Should You Use Them? This book helps corporate business readers to understand the meaning and impact of Business Rules within a variety of applications or scenarios such as: Why and how to use a rules-based approach to validate, transform, recalculate, and remediate complex applications The art of managing rules and terminology in a consistent, business-friendly, and shareable way How to use a rules engine to achieve uniformity, consistency, continuous monitoring, transparency, flexibility, forecasting etc. Key technologies, vendors and implementers in this ecosystem.

The chapters in this book are contributed by visionaries who see the need for business leaders to define their organizations to be agile and robust in the face of external changes. The goal is to build something knowing that it will be changed; so that you have no need to go back to the metaphorical drawing board for every market condition change. In his Foreword, Keith Swenson asks you, "Consider what it means to say that the business will adapt in the face of external changes. The business architecture is not simply a model that specifies how to run the business for now and the next few years. The people making the architecture cannot know the pressures that will be faced. Instead, it must support leaders and executives within the organization to make consistently good decisions on how to adapt their practices. The architecture is not a plan that anticipates all the decisions; instead it embodies a set of core guiding principles that enable decision-making." Understand that the term “business” used this way is not limited to for-profit enterprises but includes all forms of organizations that have a strategic need to accomplish goals. Pragmatically speaking, business architecture is the conceptual understanding that people have on why particular choices were made in forming the organization in a particular way. This book will help you understand your options and how to relate them to your own organization.

Best Practices for Knowledge Workers describes ACM in the current era of digitization, Internet of Things (IoT), artificial intelligence (AI), intelligent BPMS and BPM Everywhere. You will learn how support of adaptive, data-driven processes empowers knowledge workers to know in real-time what is happening at the edge points, and to take actions through the combination of rule-driven guidance and their own know-how. It is not a traditionally-automated system but intelligent automation, where technology doesn’t merely replace human decision-making but extends the reach of the knowledge worker; making IoT data actionable. As Sandy Kemsley points out in her foreword: As adaptive case management (ACM) systems mature, we are moving beyond simple systems that allow knowledge workers to define ad hoc processes, to creating more intelligent systems that support and guide them. Knowledge workers still need to dynamically add information, define activities and collaborate with others in order to get their work done, but those are now just the table stakes in a world of big data and intelligent agents. To drive innovation and maintain operational efficiencies, we need to augment case work – typically seen as relying primarily on human intelligence – with machine intelligence. In other words, we need intelligent ACM. Highly predictable work is easy to support using traditional programming techniques, while unpredictable work cannot be accurately scripted in advance, and thus requires the involvement of the knowledge workers themselves. The core element of Adaptive Case Management (ACM) is the support for real-time decision-making by knowledge workers. In award-winning case studies covering industries as a diverse as law enforcement, transportation, insurance, banking, state services, and healthcare, you will find instructive examples for how to transform your own organization. This important book follows these ground-breaking best-sellers on ACM; Thriving on Adaptability, Empowering Knowledge Workers, Taming the Unpredictable, How Knowledge Workers Get Things Done, and Mastering the Unpredictable and provides important papers by thought-leaders in this field, together with practical examples, detailed ACM case studies and product reviews.

The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

We are entering an entirely new phase of BPM – the era of “BPM Everywhere” or BPME. BPME represents the strategy for leveraging, not simply surviving but fully exploiting the wave of disruption facing every business over the next 5 years and beyond. Without question, one of the single most disruptive events in the last decade was the introduction of the smartphone. Consider for a moment how great of an impact this has had on the relationship between businesses and their customers. Not even the emergence of the Web and Internet-based “digital native” business models can compare with the level of intimacy now available with your customers. In the era of the Internet of Things where smart homes, appliances, cars, phones, virtually imaginable devices are all connected, BPM must, and will, be everywhere. As Peter Whibley discusses in “The Internet of Things Will Be Invisible,” by 2025 there are expected to be more than 26 billion or more connected devices. In the chapter “Digital Prescriptive Maintenance: Disrupting Manufacturing through IoT, Big Data, and Dynamic Case Management,” Dr. Setrag Khoshafian introduces the “4 Vs” of “thing” data, specifically “Volume, Velocity, Variety and Value.” From monitors and remote sensors, to appliances and vehicles, to tens of billions of other “things,” connected devices are generating meaningful and informative data that would easily overwhelm any human being, but collectively they present critical context about processes and the state of operations. “Big Data” has never been so large, nor presented such an acute role within enterprises and the processes that drive them. BPME as well as traditional BPM methods can already be found at the center of this. Its role will grow exponentially. Emergent factors such as process mining (see chapter “Mining the Swarm” by Keith Swenson, et al.) will be critical for uncovering engagement patterns and the need for process management platforms to coordinate interaction and control of smart devices. It is intelligent BPM that is expanding the window of what can be automated, by enabling adaptable automation. The mobile strategies in far too many organizations seem to be the building of apps that presume that customers will use their smartphones like mini laptops. This avoids the fact that we now have a level of intimacy with our customer we've never had before. As discussed in the chapter “BPM to Go – Supporting Business Processes in a Mobile and Sensing World,” our customers are carrying around a device that offers a range of capabilities unlike any laptop. A smartphone produces volumes of meaningful data about our customers (think about the “4Vs”) and is able to interact with that customer in ways that a laptop never can. The growing ubiquity of connectivity always within reach combined with new services and capabilities such as mobile banking is a key part of driving constantly-changing expectations. Yet digital disruption is not limited to mobile devices, and is in fact disrupting everywhere BPM is otherwise found, and why BPM everywhere is becoming the new normal.

This book constitutes the proceedings of the Blockchain, Robotic Process Management (RPA), and Central and Eastern Europe (CEE) Forum which were held as part of the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, during September 11-15, 2022. The Blockchain Forum is dealing with techniques for and applications of blockchains, distributed ledger technologies, and related topics. "The RPA Forum brings together researchers from various communities to discuss challenges, opportunities, and new ideas related to robotic process automation and its application to business processes in private and public sectors." The CEE Forum provides a discussion platform for BPM academics from Central and Eastern Europe to disseminate their research, compare results and share experiences. The 20 papers presented in this volume were carefully reviewed and selected from a total of 40 submissions.

Industrial Agents explains how multi-agent systems improve collaborative networks to offer dynamic service changes, customization, improved quality and reliability, and flexible infrastructure. Learn how these platforms can offer distributed intelligent management and control functions with communication, cooperation and synchronization capabilities, and also provide for the behavior specifications of the smart components of the system. The book offers not only an introduction to industrial agents, but also clarifies and positions the vision, on-going efforts, example applications, assessment and roadmap applicable to multiple industries. This edited work is guided and co-authored by leaders of the IEEE Technical Committee on Industrial Agents who represent both academic and industry perspectives and share the latest research along with their hands-on experiences prototyping and deploying industrial agents in industrial scenarios. - Learn how new scientific approaches and technologies aggregate resources such next generation intelligent systems, manual workplaces and information and material flow system - Gain insight from experts presenting the latest academic and industry research on multi-agent systems - Explore multiple case studies and example applications showing industrial agents in a variety of scenarios - Understand implementations across the enterprise, from low-level control systems to autonomous and collaborative management units