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One of the techniques people in the Agile community argue for is retrospectives. A retrospective refers to a meeting held at the end of an iteration where teammates reflect on what they experienced and recommend improvements. It is an important tool because it allows the team to take advantage of their lessons learned. The bottom line is that organizations need to put processes in place to facilitate sharing. Besides being easy to use, developers need to be motivated to use these processes, or else the databases that are provided will remain unused.
February 28, 2019 | Authored By: Donald Reifer
As we explore in this Executive Report, your agile teams might not live up to their full potential due to an inappropriate work environment. Agile management innovations (AMIs) shape the organization’s environment to unleash the full potential of agile employees. AMIs inspire innovations at the management level, providing greater success in terms of productivity, innovation, and employee retention. Agile management innovations (AMIs) help organizations work better with their agile teams and help those teams be more productive. AMIs create an environment supporting a state of flow for the employees through an emphasis on autonomy, mastery, and purpose.
April 30, 2013 | Authored By: Bernd Schiffer
Our research and consulting reveal that CEOs and their CxO colleagues play a pivotal role in determining whether or not their organizations exploit the innovative opportunities provided by digital technologies. Creating and sustaining value from digital investments requires the CEO’s focused attention and oversight. CEOs set the tone, and their active participation determines whether their organizations optimize a return from any spending on IT. Most CEOs don’t seem to understand this or quite know what they should do. 
February 8, 2017 | Authored By: Joe Peppard, John Thorp
The financial industry is currently focusing on AI solutions using ML and NLP technologies. Software, fintech, and regtech vendors are developing and improving models using data and supervised (training) and unsupervised learning. This proves more effective than previous AI approaches. This Advisor explores the current state of practice in the financial industry’s application of AI.
July 4, 2019 | Authored By: Tom Butler, Leona O Brien
In this Advisor, the authors examine prevailing concepts of trust in the context of AI applications and human-computer interaction. They emphasize that trust building is a dynamic proc­ess and outline how to build initial trust in AI systems.
November 21, 2019 | Authored By: Weiyu Wang, Keng Siau