The AI enabled enterprise uses technology to continuously learn by
monitoring its behavior and the environment as well as external
knowledge sources in order to automate the decision-making and
decision-implementation processes leading to continuous improvement
over time. This book discusses the key challenges that
organizations need to overcome in achieving an AI enabled
enterprise: the role of digital twins in evidence-backed design,
enterprise cartography that goes far beyond process mining,
decision-making in the face of uncertainty, software architecture
for continuous adaptation, democratized knowledge-guided software
development enabling coordinated design, low code versus no code,
and coherent design. For each challenge, the book proposes a line
of attack along with the associated enabling technology and
illustrates the same through a near real world use case.
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