The Biggest Challenges in Data Engineering and AI Adoption
Data engineering and AI adoption are not without hurdles. Here are some of the most common challenges businesses face:
1. Difficulty in Accessing High-Quality Data
2. Managing Large-Scale Data Accumulation
3. The Problem of Data Silos
4. Security and Privacy Concerns
https://spiralmantra.com/data-engineering/
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