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