Breaking through data-architecture gridlock to scale AI

By McKinsey & Company - 2021-02-19

Description

Large-scale data-architecture redesigns can tie up AI transformations. Five steps can help companies break through the gridlock.

Summary

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  • For today’s data and technology leaders, the pressure is mounting to create a modern data architecture that fully fuels their company’s digital and artificial intelligence (AI) transformations.
  • Build an agile data-engineering organization In our experience, successful modernization efforts have an integrated team and an engineering culture centered around data to accelerate implementation of new architectural components.
  • As a result, the difference between leaders and laggards in the data space will depend on their ability to evolve their data architecture at a brisk pace to harness the wealth of data collected over decades and new data streaming in.

 

Topics

  1. Backend (0.37)
  2. Database (0.18)
  3. Management (0.13)

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