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Home Technology Big Data, Analytics & Intelligence

The future of data storage in the AI era

FutureCIO Editors by FutureCIO Editors
January 15, 2024
Image by tookapic from Pixabay

Image by tookapic from Pixabay

Seagate Technology shares its insights on what to anticipate in the data storage landscape for 2024 as the growing AI prominence created a huge demand for data storage.

Data storage will drive AI success

Businesses will save more operational data to teach AI, machine learning, and deep learning models, as well as train models on both external and internal data. Investments into cloud capacity will rise to support AI program maturation.

Data center refreshes 

The natural refresh cycles of data centers will open opportunities to replace lower-capacity hard drives with those of higher capacity. The new HAMR technology yields significant power, space savings, and massive TCO efficiencies and contributes to reduce carbon footprint.

Flash and hard drive technology

The demand for mass-capacity hard drives will rise and remain the most cost-effective option for most capacity-centric storage tasks. The demand for storage capacity will also increase.

Data storage shaping applications

Edge Computing and the Internet of Things (IoT) demand scalability, latency, and operational flexibility to correlate real-time data with vast historical datasets for immediate analysis and forecasting. Moreover, quantum computing will require new data storage architectures to prevent data loss.

2024 will see the end for classical encryption methods as they will be inadequate for data transfer between quantum processors and storage mediums. Quantum networking will be redefining data transmission and security.

Related:  Epicor unveils integrated portfolio of AI and data management capabilities 
Tags: Artificial Intelligencedata storageSeagate Technology
FutureCIO Editors

FutureCIO Editors

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