Article

Designing Emerging, Adaptive Digital & Data Architectures

Posted December 22, 2020 in Business Agility & Software Engineering Excellence, Business & Enterprise Architecture, Data Analytics & Digital Technologies Cutter Business Technology Journal
architecture
The authors take a two-part approach to discussing the design of adaptive digital and data architectures. First, they propose a way to design solutions that actively identify and address key uncertainties and concerns so that the right kinds of EA artifacts will emerge to answer key questions about user desirability, technical feasibility, and financial viability for the right people. Second, they share patterns and techniques that can be used to design and build digital and data architectures with a high level of flexibility and adaptability that can better support the changes in priorities that successful digital transformation efforts need to be able to steer.
About The Author
Olivier Pilot
Olivier Pilot is a Senior Consultant with Cutter Consortium’s Business & Enterprise Architecture practice and a Senior Architect with Arthur D. Little’s UK Digital Problem Solving practice. He has broad experience across a range of projects involving enterprise and solution architecture. Mr. Pilot's focus areas include digital strategy, Agile digital solution delivery, design and architecture, and design thinking innovation. His recent… Read More
Michael Papadopoulos
Michael Papadopoulos is a Senior Consultant with Cutter Consortium's Business & Enterprise Architecture and Business Agility & Software Engineering Excellence practices, Chief Architect of Arthur D. Little’s (ADL's) UK Digital Problem Solving practice, and a member of ADL's AMP open consulting network. He is passionate about designing the right solutions using smart-stitching approaches, even when elegance and architectural purity are… Read More
Michael Eiden
Michael Eiden is a Senior Consultant with Cutter Consortium's Data Analytics & Digital Technologies practice. Dr. Eiden, who serves as Head of AI at Arthur D. Little, is an expert in machine learning (ML) and artificial intelligence (AI) with more than 15 years' experience across different industrial sectors. He has designed, implemented, and productionized ML/AI solutions for applications in medical diagnostics, pharma, biodefense, and… Read More
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