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Data Management: Challenges and Solutions in the World of AI

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by Giorgi Kostiuk

2 hours ago


In an era of rapid data growth and technological changes, information management has become strategically important for organizations. Effective data storage solutions play a key role in the innovation process.

A World Overwhelmed by Data

The amount of data created, consumed, and stored globally continues to grow. Projections suggest that it will exceed 394 zettabytes in the coming years. This growth, driven by the diversification of sources and increased connected sensors, presents new challenges for companies in data management.

Efficient Storage to Exploit AI Data Lifecycle

Every step of the data lifecycle for artificial intelligence depends on storage quality. High-performance storage solutions are required for timely data processing, efficient transformation, and easy access. Without this foundation, AI models cannot operate at full capacity, slowing down the innovation process.

A Flexible and Sustainable Approach to Storage

Companies face the challenge of finding a balance between on-premises and cloud storage, opting for hybrid solutions that meet security and flexibility demands. This approach allows for the benefits of cloud technologies while retaining control over sensitive data.

Rethinking data storage strategies is a pressing necessity. Protecting data must also be viewed as a key lever for value creation. Investments in high-quality storage solutions are crucial for effective data management and preparing organizations for future challenges.

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