The AI Data Readiness Challenge for Enterprises

Artificial intelligence (AI) holds immense potential to boost enterprise productivity and generate valuable insights. However, many companies face a significant hurdle when attempting to implement AI: their data ecosystems are not adequately prepared.

The Data Architecture Dilemma

Many businesses operate with "implicit architectures" - patchworks of IT systems interfaced together over time as companies evolve. This results in:

• Fragmented and disorganized data

• Data trapped in different systems and organization silos

• Difficulty in structuring data for enterprise analysis

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