Large data sources with bad data. Smaller data sources with good data. Which is better?
Large bad data. Obviously not good and some have recognized this as “model collapse” – the bad data causes more bad data to be generated. Small bad data – nothing needs to be said here. Small (vetted, provenance-known) data – perhaps within your enterprise walls – perhaps the way to go, until large, good data that is used for training appears. When will this happen? I do not think this is on the horizon.
Category
- Agility
- Architecture Models
- Architecture Views
- Artificial Intelligence
- Assemble to Order
- BTP
- 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
- Frame of Reference
