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This issue of Amplify offers insights into the criteria that determine AI success — from identifying where adoption will be most effective, estimating its likely benefits, and addressing requirements like explainability, to challenges such as the culture-specific nature of human imagination and self-perception.
August 25, 2025 | Authored By: Eystein Thanisch
Barry M. O’Reilly calls on us to rise above the hype, myth, and storytelling that have created the concept we call “digital architecture.” He proposes that the concept is part of an ongoing storytelling process that we as humans use to understand and navigate our world; digital architecture isn’t a real thing, it’s just part of a story to help us find our path. O’Reilly cautions against adherence to dogma and the slavish belief that copy-and-paste frameworks can solve our problems. He counsels that we should recognize that we are in an infinitely repeating cycle of hype.
November 22, 2019 | Authored By: Barry M O'Reilly
Agile has picked up a number of misconceptions, offshoots, and antipatterns as the world has figured out how to make it effective in different environments. Jacek Chmiel examines potential biases and the impacts they have on how Agile and DevOps show up in our organizations, helping us reflect on how we might reimagine various aspects and break out of our old ways of thinking.
March 25, 2021 | Authored By: Jacek Chmiel
If you pay heed to most of the articles and books that have been written on agile development, you probably wouldn't even consider attempting it on a mid- to large-sized project.
December 31, 2001 | Authored By: Matt Simons
I strongly believe that adopting a particular methodology is not the answer. Rather, organizations need to fix their internal structure and the way they operate. In this article, I will discuss the challenges hindering agility and also the bottlenecks that prevent organizations from delivering business value. I focus on six phenomena that make any organization rigid, illustrating them with real-life case studies.
March 31, 2015 | Authored By: Venkatesh Krishnamurthy
In this article, I will try to expand upon the last clause of Kranzberg’s First Law of Technology: “Technology is neither good nor bad; nor is it neutral.” Those who claim technology is ethically neutral tend to focus attention on the underlying processes, to the exclusion of the original motivation. While I lean in this direction, I recognize that bad actor/bad faith technology provides an important exception.
June 2, 2016 | Authored By: Hal Berghel
Pat O’Sullivan starts from the premise that the principles of standardization and conformity that were developed for the data warehouse are equally applicable to a digital business to deliver a consistent view of information to many lines of business. He explores the characteristics of a system of common metadata that can define the links between an existing data warehouse and an emerging digital business, describing the components and characteristics of this new metadata layer and how it is essential to fueling the growth of the AI capabilities of a digital business.
October 23, 2018 | Authored By: Pat OSullivan