CIO questions · Data, legacy & integration

Do I need a new Data Lake for AI?

The short answer

Not necessarily. AI needs governed access to the right context, not an indiscriminate copy of every dataset. Data can remain in source systems and be accessed through queries, APIs, events, tools or appropriate pipelines.

How to decide

  • Governed access to the right context, not a copy of everything
  • Leave data in source systems when that works
  • Build pipelines only where analysis needs them

The Onni principle

AI needs the right context, not all the data.

The architecture behind it

  1. Source systems
  2. Queries · APIs · Events
  3. Context
  4. AI

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