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AI revolution spurs demand for smarter storage solutions in the cloud era

As artificial intelligence (AI) continues to revolutionize industries, the demand for smarter, more efficient data storage solutions is escalating rapidly. A recent survey by Recon Analytics, commissioned by Seagate Technology, sheds light on how businesses worldwide are adapting to this new reality. Unsurprisingly, many companies are increasingly leaning on cloud storage to manage their growing data needs, driven by AI advancements.

Notably, 61% of global organizations using cloud storage anticipate doubling their capacity requirements within the next three years. While Singaporean businesses are slightly more conservative, 53% still foresee similar growth. This underscores the universal challenge of managing AI-driven data surges.

Additionally, the cloud’s cost-effectiveness, combined with the scalability of modern hard drives, makes it an obvious choice for enterprises aiming to optimize storage efficiency.

Significantly, the survey also reveals that businesses are prioritizing long-term data retention. Nearly 90% of global respondents, along with 85% of those in Singapore, agree that holding onto data for extended periods enhances the accuracy of AI models. By ensuring data longevity, organizations can train their AI systems more effectively, resulting in better outcomes and smarter decision-making processes.

BS Teh, Seagate’s chief commercial officer, emphasized this shift. “Trustworthy AI hinges on advanced storage innovation,” he noted. “We are focused on doubling storage capacity with HAMR-based hard drives, ensuring businesses can meet their surging data needs without compromising quality.”

Furthermore, storage infrastructure now ranks just behind security as a top priority for AI adoption. By combining robust storage capabilities with advanced security measures, organizations can confidently navigate the complexities of the digital age.

Ultimately, the increasing collaboration between businesses and cloud providers highlights a shared commitment to managing AI’s vast data requirements. Together, these efforts will ensure that enterprises not only keep pace with technological advancements but also unlock the full potential of AI-driven innovation.

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