AI is having a big impact on organizations of all sizes, across all industries. But if you don’t have the proper data architecture in place to support AI and machine learning, you’re likely to be disappointed in the results you’re seeing. Here are seven principles to consider for an AI-ready data architecture.
- Plan for scale and elasticity.
Artificial intelligence (AI) is all about data, all the time. Does your IT team’s architecture enable computations to be performed on demand?