AI Engines - What are the Categories of Data Used for Training?
There are four categories of data that are used/available to "train" Artificial Intelligence engines. (1) open data on the Internet and other sources, (2) Copyrighted data, (3) Data requiring some initial exchange of information/funds, and (4) True Intellectual Capital / Best Practices. This Broadcast will provide some insight into and understanding of these Categories.
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
