Difference between revisions of "Enterprise Architecture (EA)"
| Line 13: | Line 13: | ||
* [[Enterprise Portfolio Management (EPM)]] | * [[Enterprise Portfolio Management (EPM)]] | ||
* [[Architectures]] supporting machine learning | * [[Architectures]] supporting machine learning | ||
| − | * [http://www.eProcessSolutions.com/BPeat/docs/BCM.BecomingNetCentric.2003-06-18a.pdf Becoming NetCentric | + | * [http://www.eProcessSolutions.com/BPeat/docs/BCM.BecomingNetCentric.2003-06-18a.pdf Becoming NetCentric - Leveraging an Information Network with Communities] |
of Interests, Architectures, and Ontologies | of Interests, Architectures, and Ontologies | ||
* [http://www.cio.com/article/3328495/tackling-artificial-intelligence-using-architecture.html Tackling artificial intelligence using architecture | Daniel Lambert - CIO] | * [http://www.cio.com/article/3328495/tackling-artificial-intelligence-using-architecture.html Tackling artificial intelligence using architecture | Daniel Lambert - CIO] | ||
Revision as of 08:58, 27 October 2019
Youtube search... ...Google search
- 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
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?...
Enterprise Architecture
Portfolio Management
