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About Kay Winkler
He works as a director at NSI (Negocios y Soluciones Informáticas) and is responsible for the distribution and implementation of BPM and ECM solutions in Latin America.
Having been responsible for the automation and optimization of mission critical processes for hundreds of international companies, he had the opportunity of accumulating proven and applied practices related to BPM and IT business solutions.
He is sharing this knowledge together with insights from other recognized experts in his role of president at the local ABPMP chapter. He can be reached through LinkedIn at: https://pa.linkedin.com/in/kaywinkler
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“Today’s BPM platforms deliver the ability to manage work while dynamically adapting the steps of a process according to an awareness and understanding of content, data, and business events that unfold,” says Nathaniel Palmer. “This is the basis of intelligent automation, making BPM the ideal platform for digital transformation.”
The authors discuss the impact of emerging technologies, the mandate for greater transparency and how the ongoing aftershocks of globalization have collectively impacted predictability within the business enterprise.
Digital transformation describes the changes associated with the application of digital technology in all aspects of human society.
This book provides compelling award-winning case studies contributed by those who have been through the full BPM experience. The case studies describe the processes involved to generate successful ROIs and competitive advantages.
Rules, Relationships, and Robots, How Robots and AI Redefine the Rules
Robots and AI are redefining the rules for business execution and organizational agility. Investment in new technology is driven foremost by the goals increasing execution capacity (scalability) and organizational agility. Seeking more, faster, and most often with fewer people, enterprises prioritize technology investments which can speed time to market, to empower workers to make better-informed decisions, as well as to reduce the overhead otherwise required with delivering products and services to market.
In this book, we explore how Intelligent Automation can be realized to deliver on the promise of Intelligent Adaptability, expanding the capabilities of ACM beyond what had previously been thought to be the limitations of automation—Nathaniel Palmer
Machine intelligence and automation are fast encroaching on business activities that many still consider the domain of human intelligence as new technologies are applied to non-routine cognitive tasks. The key technologies—rules, analytics, machine learning and event processing, underpinned by big data—are being integrated with ACM and BPM systems to replace workers in some tasks, and augment human capabilities in others—Sandy Kemsley, Foreword.
-- Mike Heffner, Foreword
Best Practices for Knowledge Workers: Innovation in Adaptive Case Management
Best Practices for Knowledge Workers describes Adaptive Case Management (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.
Table of Contents
Case Management in Industry 4.0: ACM and IoT
Knowledge Workers are the Emerging Heroes of the Digital World
Self-Managed Agile Organizations
Keith D Swenson
Digital Transformation Competency Centers
Dr. Setrag Khoshafian and Paul Roeck
Cloud-Enabled ACM for the Age of the Customer
Linus Chow, Casey Conner, Sherry Comes, Jin-Lin Mei, Tom Bullotta
The Agile and Strategic Human Resources Office
Dr William A. Brantley
Value Streams Empowering the Knowledge Worker
Kerry Finn, Stephanie Ramsay, J. Bryan Lail
Decisions: Where Processes Meet Capabilities in Court PCM Requirements
John T. Matthias
Adaptive Case Management and the Foreign Account Tax Compliance Act
David Gomez, Jr.