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  It is clear to most people by now that no one methodology will fit every software project. What is not clear is where to go next. If concrete advice can't be given across projects, how are we to find meaningful methodological advice for our projects?
October 31, 2000 | Authored By: Alistair Cockburn
Technological and economic developments are accelerating the exploration of the cosmos and leading to the formation of a next-generation space economy that promises to significantly impact life on Earth and in outer space. This Amplify Update examines commercial developments in conjunction with key trends in emerging technologies and how they are helping to accelerate space exploration.
May 10, 2024 | Authored By: Curt Hall
Traditionally, EA has focused on delivering a set of guiding principles, frameworks, reference models, blueprints, and roadmaps to support operational ­excellence as well as strategic business and IT alignment goals. Today this focus is shifting toward lever­aging collaborative, agile, disruptive, and innovative approaches to executing EA practices for digital transformation. Like many thought leaders, I believe that in order to successfully implement a new change, a new EA must be pro­active and customer-oriented. This new EA must be innovative enough to deliver tangible business results more consistently and more frequently to capitalize on the IoT opportunity. EA and IoT together help enterprises to leverage their capabilities (people, process, and technology) while establishing mechanisms or conduits for the digital transformation.
May 10, 2016 | Authored By: Tushar Hazra
A new breakthrough discovery — the Wallet Allocation Rule — is solving the CX metric and ROI problem and opening the door to strategic advances that elevate the role of CX for leading companies by changing the way we track metrics, understand key driver analyses, define marketplace differentiation, and develop strategies to win share of wallet.
June 18, 2018 | Authored By: Luke Wiliams
How do we ensure that we are getting the most from big data, cognitive computing, and whatever lies beyond, to improve the probability of making the right decisions, in the right context, and for the right reasons? We believe that lessons learned in over five decades of Lean Thinking can help guide us forward in this journey, and we will use examples from the financial services industry to illustrate them.
July 7, 2016 | Authored By: Karen Whitley Bell, Steve Bell