Difference between revisions of "Enterprise Architecture (EA)"
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* [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] | * [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] | ||
* [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] | ||
| + | * [http://www.crayon.com/en-za/news-and-resources/how-can-machine-learning-help-the-enterprise-architect/ How can Machine Learning help the Enterprise Architect? | Crayon] | ||
| + | * [http://www.zdnet.com/article/machine-learning-may-supercharge-enterprise-architecture/ Machine learning may supercharge enterprise architecture | Joe McKendrick - Service Oriented - ZDNet] | ||
| + | * [http://cognitive.cioreview.com/cxoinsight/building-a-cognitive-enterprise-architecture-nid-24128-cid-166.html Building a Cognitive Enterprise Architecture | Josh Sutton - CIOReview] | ||
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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. [http://blog.leanix.net/en/an-enterprise-architects-guide-to-machine-learning-series-part-1 Lesa Moné | LeanIX] | 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. [http://blog.leanix.net/en/an-enterprise-architects-guide-to-machine-learning-series-part-1 Lesa Moné | LeanIX] | ||
Revision as of 13:27, 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
- 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
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
Tailoring
