The AI Ladder
Collect
Organize
Make data simple and accessible
An appropriate data management strategy is critical
Acess to all data
Flexibility to support changing workloads and consumption cases
Access to intelligent analytics
Access to insight across the business
Organizations need to have a catalog of their data that provides information, including the data’s source, who owns it, and how the metadata is mapped to its business context.
Profile, cleanse and catalog all types of data
Manage data with built-in protection and compliance
Manage data at all stages of its lifecycle
Enable policy driven visibility, detection and reporting
Data is trustworthy, complete and consisten
Make data ready for use
Quality
Data Catalog
Collection of rules
Profiles
Tags
Policys
To regulate the use of data
Allow for the automated regulation of many aspects of data quality
maintaining metadata
Data Privacy
Relationships between data assets
Analyze
Build and collaborate AI models
Scale across your enterprise
Trust and transparency
Infuse
Put AI to work
Automation and optimization
Unlock new value
GOAL: Augmented human decisions
Watson
A set of tools to build, run, and manage AI across its entire lifecycle
A set of pre-built AI applications