Future-Proof Data Protection as a Driver of the Smart Economy
A study by Huawei and Roland Berger highlights key trends and emerging requirements for data storage solutions in the age of AI.
The global boom in AI is dramatically increasing the demand for resilient, future-proof data storage. Companies now face the challenge of adapting their data storage infrastructure to meet evolving needs, while also considering cybersecurity and sustainability.
Future-Proof Data Storage as a Key Technology
The white paper Future-Proof Data Storage Power defines future-proof data storage as both a digital backbone and a high-performance engine for the modern economy. Unlike traditional storage solutions, future-proof data storage is distinguished by universal accessibility, native AI integration, compact architecture, and an open ecosystem. It enables intensive aggregation of diverse data across domains, secure and reliable storage, and robust support for a wide-ranging application ecosystem.
Core Features of Future-Proof Data Storage
- Universal Availability
Provides seamless data access from anywhere, at any time, across various devices and platforms.
- Performance Leap
Delivers significantly higher speed and efficiency in data access and processing, driven especially by SSD technology.
- Native AI Integration
Embeds AI functions directly into the storage solution, enabling intelligent data analysis and management.
- Compact Architecture
Optimizes storage infrastructure to deliver maximum performance with a minimal footprint.
- Multi-Layered Reliability
Incorporates multiple security layers to prevent data loss and ensure high availability.
- Proactive Security
Utilizes advanced technologies for early threat detection and prevention, mitigating risks before damage occurs.
- Sustainability
Prioritizes energy-efficient solutions and environmentally responsible practices in data storage management.
- Open Ecosystem
Facilitates integration with diverse technologies and platforms, ensuring flexibility and future adaptability.
The study also introduces a scoring system based on factors such as capacity planning, resource utilization, performance requirements, security and ransomware protection, total cost of ownership (TCO), and native AI support.
Additional indicators, such as data retention rate, storage-to-compute ratio (the ratio of storage capacity to computing power), and the percentage of devices under warranty, aim to help companies identify developmental advantages and areas for improvement. The SSD penetration rate, which measures investments in SSD technologies relative to total data storage investments, reflects the agility and adaptability of data storage solutions.
