Understanding Both Sides of AI's Use in Enterprise Architecture

The adoption of Artificial Intelligence (AI) to develop Enterprise Architectures (EA) is attempting to transform the field, but it comes at a cost: a noticeable decline in traditional EA competency and growing skepticism among stakeholders as to the worth of Enterprise Architecture.  Contemporary Enterprise Architects expertise is no longer just a nice-to-have - it is a strategic imperative for any organization seeking to thrive in an AI-driven world.

Category

• Agility
• Architecture Models
• Architecture Views
• Artificial Intelligence
• Assemble to Order
• BTP
• Benefits
• Big Data
• Bill of Materials
• Book
• Business Architect
• Business Architecture
• Business Architecture Framework
• Business Architecture Participants
• Business Architecture Tools
• Business Capability
• Capabilities
• Capability Ability
• Certification
• Certification Levels
• Certification Mistakes
• Change Management
• Checklist
• Cloud
• Cloud Decommission
• Coding
• Communication
• Competition
• Complexity
• Confirmation Bias
• Consulting
• Cybersecurity
• Data
• Data Architecture
• Data Lake
• Data Modeling
• Data Sludge
• Data Swamp
• Differentiators
• Digital Transformation
• Distance Learning
• Enterprise Architect
• Enterprise Architecture
• Enterprise Architecture Framework
• Enterprise Architecture Participants
• Enterprise Architecture Tools
• Evaluation Checklist
• Evaluation Criteria
• Event Model
• Experiences needed