The AI-Enabled Enterprise
Kulkarni, Vinay.
The AI-Enabled Enterprise [electronic resource] / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper. - 1st ed. 2023. - XII, 135 p. 65 illus., 58 illus. in color. online resource. - The Enterprise Engineering Series, 1867-8939 . - The Enterprise Engineering Series, .
Acceso multiusuario
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.
9783031290534
Business--Data processing.
Business information services.
Machine learning.
Information technology--Management.
Artificial intelligence.
Business Informatics.
Enterprise Architecture.
Machine Learning.
Computer Application in Administrative Data Processing.
Artificial Intelligence.
HF5548.125-.6
650.0285 658.05
The AI-Enabled Enterprise [electronic resource] / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper. - 1st ed. 2023. - XII, 135 p. 65 illus., 58 illus. in color. online resource. - The Enterprise Engineering Series, 1867-8939 . - The Enterprise Engineering Series, .
Acceso multiusuario
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.
9783031290534
Business--Data processing.
Business information services.
Machine learning.
Information technology--Management.
Artificial intelligence.
Business Informatics.
Enterprise Architecture.
Machine Learning.
Computer Application in Administrative Data Processing.
Artificial Intelligence.
HF5548.125-.6
650.0285 658.05
