**The Infusion of Better Programming in Mitigating Infrastructure Strain**
The rapid growth of global data is projected to reach 175 zettabytes by 2025, putting immense pressure on current server infrastructure. While artificial intelligence (AI) plays a significant role, it's not the only factor contributing to this strain. The increasing reliance on digital technologies across sectors drives demand for faster, more scalable, and cost-effective storage solutions.
To alleviate this strain, better programming and data management can significantly mitigate the situation. Strategies include data compression, deduplication, tiered storage, and optimizing application handling. For AI-specific applications, techniques like transfer learning, data augmentation, and edge computing can reduce dataset requirements. Efficient coding practices and sustainable storage options can also contribute to a more environmentally friendly infrastructure.
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