(AI) is only as good as your (IA)

Go back [[Week 1 - Introduction]] or the [[Main AI Page]]

AI is only as good as the robust architecture that supports it. AI requires machine learning, machine learning requires analytics, and analytics requires the right data and information architecture (IA).

The entry points vary, but most organizations build out an enterprise AI environment by first getting their IA in order.

To do so, embrace three distinct foundational areas of technical advancement:

1. Hybrid data management that provides a platform to manage all data types, across all sources and destinations.
2. Unified governance and integration to make data easily and securely available across cloud platforms.
3. Combined data science and business analytics for holistic and collaborative analysis of all data types to extract meaning from complex data sets