Enterprise adoption of AI solutions is driving the need for new storage platforms to support huge volumes of data. At the same time, AI is revolutionizing how data is stored, accessed and managed. AI can enhance a wide range of storage processes to better utilize storage resources and ensure that information is available when and where it’s needed.
In many organizations, data storage remains siloed, with storage resources tied to specific applications and services. This architecture does not align with the dynamic nature of AI workloads. AI demands storage that is fast, flexible and capable of handling diverse data sources and formats.
Compute and storage resources must be allocated and scaled in real time to support complex algorithms. Data must be consistent and reliable to ensure that AI models produce accurate results. When intelligence is incorporated into data storage platforms, organizations gain the robust data management needed to ensure success with AI.
AI can enhance data storage and management in several ways. It can support data-driven processes by eliminating silos and automatically synchronizing data across the enterprise throughout the data lifecycle. Users and applications have access to the information they need when they need it, enabling unprecedented levels of productivity and the insight that drives innovation. Every aspect of data management is streamlined, from ingestion and processing to analysis and long-term archival.
AI also increases storage efficiency. For example, storage tiering becomes more intelligent, automatically migrating data from high-speed primary storage to lower tiers based on cost, access requirements and other factors. AI-enabled tiering can even “learn” the requirements of various data repositories.
Data can be compressed and deduplicated without losing fidelity, further optimizing storage resources. Predictive analytics can proactively distribute storage resources based on workload requirements, ensuring data availability without the need for overprovisioning. It can also maximize availability by predicting potential problems before they cause downtime.
Security and data privacy are major concerns that come with AI adoption. AI-enabled storage enhances security with features that can detect the loss of data at rest and in transit. It can also control access intelligently to increase availability while reducing security risks.
These capabilities enable organizations to keep a lid on costs while managing data growth more effectively. Storage resources can be scaled up or down dynamically to meet operational needs and business objectives. Organizations gain a cloud-like storage environment, paying only for what they need when they need it. They also maximize resource utilization for a greater return on their storage investments.
AI-enabled storage also enables organizations to utilize their data to its fullest potential. Data isn’t just stored but used to make more accurate predictions and gain deeper insights. Organizations can better understand customer needs and behaviors and predict market trends. They can then analyze their operations to determine how best to capitalize on opportunities and navigate potential risks.
The result is greater business agility and improved performance. Organizations can harness the full power of AI to process and analyze data at high speed for faster, more accurate decision-making. In industries such as healthcare, financial services, manufacturing and retail, AI-enabled storage can have an immediate and significant impact on the bottom line.
Technologent’s AI, storage and data management experts are here to help you optimize your storage environment to support AI. We can assess your existing storage resources and determine if AI-enabled storage can add value to your AI initiatives. We can also help you evaluate the various options and develop a non-disruptive implementation plan. Let us help you take advantage of AI-enabled storage to handle the increasing velocity, variety and volume of data in your organization.