The rapid adoption of artificial intelligence and machine learning (AI/ML) over the past year has transformed just about everything – ushering in a new era of innovation and growth the world has never seen. The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to compete in today’s data-driven world.
What might the change look like? Here are seven ways AI/ML could transform the storage landscape in 2024:
1. Tiered storage: Tiered storage has been around for decades, allowing organizations to leverage different types of storage media based on requirements around capacity, speed, cost, security, and other factors. More recently, pre-written scripts introduced some level of process automation, but implementing tiered storage still uk whatsapp number data remains a relatively manual effort. AI/ML can provide the opportunity to fully automize tiered storage by analyzing access and usage patterns to intelligently allocate data to the optimal storage tier. And, because models are always learning, AI/ML will be able to adapt to changing conditions in real time – ultimately driving optimal price-per-performance capabilities.
2. Classification and tagging: Classification and tagging is another important yet manual task that offers opportunity for further automation. AI/ML can analyze the context of the data and the associated metadata to automatically categorize large volumes of information into neat, organized consumable units. The potential use cases for classification and tagging are intriguing – including commerce, content management, and any other process that relies on search functionality.