Storage technology will expand to address
Posted: Thu Feb 13, 2025 4:53 am
Thus, the ability to easily move data becomes paramount as data’s classification changes and to keep up with the fast-moving innovations in storage. Unstructured data management tools that provide data mobility without vendor lock-in will be increasingly valuable.
New use cases, from sustainability to AI.
Data storage technology will evolve based on the changing needs of the enterprise. This is great news for enterprise customers as choice will continue to grow next year. Major storage vendors are creating israel whatsapp number data GPU and Flash products specifically for the extreme processing needs of AI and machine learning applications. Storage vendors are incorporating more security features to protect data at the source, along with energy-efficient features to help organizations cut energy bills and operate more sustainably. As AI becomes more prevalent, the need to create workflows to continuously feed AI and store the results from AI processing will become an inherent part of the IT landscape. However, AI and the distinct move away from one-size-fits-all storage means that enterprise IT complexity will grow. IT teams will need strategies, knowledge, and guidance for data lifecycle management to ensure that data continually moves to the best storage tier for current needs. By doing so, IT can optimize data storage across the board for maximum cost savings, data protection, and performance while also enabling AI.
Unstructured data management solutions will address affordable data security and protection for all data.
The traditional approach of expensive data protection focused on mission-critical data no longer works as ransomware, global disasters, and security attacks are on the rise. Organizations need to protect all data but cannot afford to treat all data as if it’s mission-critical, which requires expensive disaster recovery (DR) solutions with fast recovery and stringent SLAs.
New use cases, from sustainability to AI.
Data storage technology will evolve based on the changing needs of the enterprise. This is great news for enterprise customers as choice will continue to grow next year. Major storage vendors are creating israel whatsapp number data GPU and Flash products specifically for the extreme processing needs of AI and machine learning applications. Storage vendors are incorporating more security features to protect data at the source, along with energy-efficient features to help organizations cut energy bills and operate more sustainably. As AI becomes more prevalent, the need to create workflows to continuously feed AI and store the results from AI processing will become an inherent part of the IT landscape. However, AI and the distinct move away from one-size-fits-all storage means that enterprise IT complexity will grow. IT teams will need strategies, knowledge, and guidance for data lifecycle management to ensure that data continually moves to the best storage tier for current needs. By doing so, IT can optimize data storage across the board for maximum cost savings, data protection, and performance while also enabling AI.
Unstructured data management solutions will address affordable data security and protection for all data.
The traditional approach of expensive data protection focused on mission-critical data no longer works as ransomware, global disasters, and security attacks are on the rise. Organizations need to protect all data but cannot afford to treat all data as if it’s mission-critical, which requires expensive disaster recovery (DR) solutions with fast recovery and stringent SLAs.