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Systems Engineering: Cracking the Code of Digital Transformation
Author(s) -
Peterson Troy
Publication year - 2019
Publication title -
insight
Language(s) - English
Resource type - Journals
eISSN - 2156-4868
pISSN - 2156-485X
DOI - 10.1002/inst.12234
Subject(s) - transformation (genetics) , model transformation , code (set theory) , computer science , systems engineering , digital transformation , engineering , software engineering , programming language , artificial intelligence , world wide web , biochemistry , chemistry , consistency (knowledge bases) , set (abstract data type) , gene
While complex systems transform the landscape, the systems engineering discipline is also experiencing a transformation to a model‐based discipline. In alignment with this, the International Council on systems engineering (INCOSE) is strategically accelerating this transformation by building a broad community that promotes and advances model‐based methods to manage the high rate of change and complexity of systems today. This paper addresses contextual drivers for transformation, describes INCOSE activities aligned with accelerating the transformation, and makes the case that model‐based systems engineering can help businesses crack the code of Digital Transformation as it pertains to innovation.