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How AI is reshaping storage technologies

Artificial Intelligence  and Machine Learning are certainly the most revolutionizing industrialArtificial Intelligence technologies we know today. More business organizations are leveraging Artificial Intelligence  every year, enhancing their products and bringing more competitive and insight-backed advantages to their strategies. So, it is certain that AI can overhaul any fragmented business – perhaps in the storage space too!

The way Artificial Intelligence  innovations are accelerating, one should soon be able to witness expansions from Edge to enterprise infrastructures in a simple and cost-effective manner. The only major hindrance in this progression is storage and deployment challenges. But the question arises – could AI by itself address these challenges?

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Artificial Intelligence  for Smart Storage?

In our modern world, Artificial Intelligence  is powered by data, but the only problem being data is either stored or managed in a way that makes it difficult and costly to access, maintain or expand. For mitigating this, enterprises must evaluate the value and purpose of this data, eliminate the unwanted fragments, streamline the valuable data with compliance checks, data governance, and cataloging.

This is where Artificial Intelligence -enabled storage steps in, providing real-time updates from several data sources in an optimized manner and automating workflows while minimizing human interventions. According to recent market study, Artificial Intelligence -powered storage market is set to be worth around $25 Billion by the end of 2025, reflecting at 17.56% CAGR over the period.

Now, the real question that arises is – what are the advantages of Artificial Intelligence -enabled storage?

Let’s dig deeper.

Exploring the Advantages of Artificial Intelligence -enabled Storage

Data being the new fuel for Artificial Intelligence , it follows the need for legacy data storages to be transformed into smart storage solutions. This requires embedded deep learning and GPU processors which enables them to process real-time insights and leverage advantages for Artificial Intelligence -enabled storage as follows:

  • Scalability:  algorithms can process huge data volumes in real-time, demanding a need for significant storage demands. By provisioning of enabled cloud storage, storage can scale up intelligently as per the business requirements.
  • Shared Data vs. Stored Data: In a data-driven world, shared data proved to be more valuable than stored data. enabled storage makes it happen using advanced analytics and processed workloads, which helps scale out storage platforms that resolve downtime issues through data-driven insights.
  • Data Insights: powered storage uses various analytical tools to deliver fast, reliable insights from billions of stored objects and files. This makes data more useful for major business decisions for organizations.
  • Automation: With help of Software-Defined Storage, along with AI and ML, storage ecosystem can now add software layers on top of hardware and tracking more data. This allows managers to focus on strategic initiatives. Also, automation of storage facilities can be powered by AI and with their flexible and adaptable design, it is easy to manage, access, and re-route data-center traffic to regulate datacenter temperatures automatically.
  • Reporting and Alerting: enabled storage further enables organizations to build reports based on the insights delivered, which then enables alerting system configurations, data-storage failure mitigation, and anomaly remediation. One such example of reporting is Power BI by Microsoft. This promotes Learning Data Lifecycles and helps regulate data storage in the best possible way.
  • Failure Prediction: Productivity can be hugely impacted by storage failures. And, if the failure happens, organizations might recover lost data, restore it from a backup, but ultimately it will hinder productivity. With enabled storage, there’s a seamless detection of failures and data recovery happens instantly from the point of failure.
  • Cost-effective: assisted storage aids in the identification of data’s utility and usage patterns. This aids in the decisions on data storage, data management, and unwanted data filtration. As a result, enterprises may make informed decisions about data storage capacity and save money on the expenses of holding massive amounts of data.

AI-enabled Storage vs. Cloud Storage

Cloud storage

There are multiple ways in which Artificial Intelligence -enabled storage overperforms than a typical cloud storage, to name a few:

  • Artificial Intelligence -enabled storage provides a more agile and flexible architecture for enterprise storage ecosystem. 
  • It intelligently monitors access rights, dynamically reroutes datacenter data, and automatically regulates data enter temperatures, all while reducing energy usage.
  • Artificial Intelligence  improves storage security and dependability with smart security features that identify data/packet loss during transit or within data centers, which in turn reduces data loss, improves availability, and speeds up turnaround time – especially during downtime.
  • Another developing benefit of Artificial Intelligence -enabled storage is neural storage. Despite the absence of human assistance, neural class storage can easily perceive and respond to storage issues and opportunities.

Future of Data Storage with Artificial Intelligence 

Going forward, when Artificial Intelligence  demands to increase the size of storage systems, the capacity of human engineers to manage, monitor, and maintain this large-scale data storage becomes compromised. This bottleneck in scalability and efficiency is resolved with Artificial Intelligence -enabled data storage. While modern storage systems and applications can gather large data-volumes and create actionable information, it is difficult to move forward without the intelligence and automation of Artificial Intelligence -powered storage systems – the ones that can self-predict and analyze data in real-time.

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