Intelligent Automation: Rules, Relationships and Robots

by Nathaniel Palmer, Roy Altman, Karl Keirstead

Intelligent AutomationDesigning Strategies and Practical ImplementationIntelligent automation is about real business change and long-term value. If you’re serious about transforming the nature of work in your organization through automation, you need to think beyond robotic process automation (RPA) and point solutions. A truly intelligent automation strategy utilizes a combination of powerful technologies like AI, RPA, and data access alongside established processes to work holistically, resulting in smarter systems and actionable data insights. 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.

Kindle Edition

Published September 15, 2019

Reviews

[Peter De Kinder · Rating 2 out of 5]

Already 4 years ago, Nathaniel Palmer’s keynote at bpmNext introduced me to the concept of Intelligent Automation. This is the extension of the classical Process Management approach using Intelligent Business Process Management Solutions (iBPMS) to automate processes with the influx of new possibilities on a technological level: AI and machine learning to crunch the data, RPA, and the introduction of bots for automating swivel chair processes, and more pronounced use of decision management automation. When the titular book was published by Future Strategies, I picked up my copy and started reading in the hopes of figuring out how to implement this. The book is similar in structure to other volumes of Future Strategies in that it is a collection of articles by luminaries in the field, accompanied by several award-winning case studies.

The book focuses much of its content on the analytics and data sciences part of the intelligent automation ecosystem. While this gives the reader insights into how this field plays an important role, it left me with an unsatisfied hunger with regard to all other disciplines that are in play when attempting the initiatives needed to successfully roll out intelligent automation adoption in organizations.

More detailed review: https://evolute.be/reviews/intelligen...