Difference between revisions of "Enterprise Architecture (EA)"
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Revision as of 17:46, 12 August 2020
Youtube search... ...Google search
1,2, 3: First comes architecture, second comes data management, third comes machine intelligence.
- Case Studies
- AI Governance
- Traditional Architecture
- Enterprise Portfolio Management (EPM)
- Architectures supporting machine learning
- Becoming NetCentric - Leveraging an Information Network with Communities of Interests, Architectures, and Ontologies
- Tackling artificial intelligence using architecture | Daniel Lambert - CIO
- How can Machine Learning help the Enterprise Architect? | Crayon
- Machine learning may supercharge enterprise architecture | Joe McKendrick - Service Oriented - ZDNet
- Building a Cognitive Enterprise Architecture | Josh Sutton - CIOReview
- How to Get AI Right Using Enterprise Architecture | Raz Mitache - BiZZdesign
- What exactly does an AI architect do? | Jenny Darmody - SiliconRepublic
- Applied Enterprise Architecture | James Parnitzke
- Tools:
In order to bring measurable value to their firms, Enterprise Architects of Tomorrow must understand, utilize, and evangelize the latest technologies driving the industry. These current trends include predictive analytics, deep learning, prescriptive analytics, and machine learning. All of these trends use current data to make predictions about unknown future events. Lesa Moné | LeanIX
Why do you need an AI Framework and an AI Strategy?... Raj Ramesh
Contents
Enterprise Architecture
Federal Enterprise Architecture (FEA)
DoD Architecture Framework (DoDAF)
Zachman Framework
The OpenGroup Architecture Framework (TOGAF®)
Tailoring
