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A Pragmatic Approach to AI in the Enterprise

Posted: Mon Feb 10, 2025 4:08 am
by relemedf5w023
AI is rapidly evolving and holds enormous promise for accelerating innovation, reducing costs, and improving user experiences at a rate never seen before. However, like most powerful tools, AI must be used carefully and in the right context, ensuring that data is properly managed and administered. Clear standards for data governance when using AI have not yet been established, and this is an area that requires further study. In the meantime, businesses should exercise caution and be clear about the risks of data exposure, data leakage, and potential data breaches before using AI applications.

Backup: From “3-2-1” to “4-3-2-1”
26.05.2023
Data is a critical resource for today’s digitally bahamas mobile database businesses, and it is absolutely essential to maintaining business operations. If a ransomware attack results in data loss, it can leave an organization unable to function normally for a long time, Kevin Cole, global director of technical product marketing at Zerto, writes on TechBeacon.

Traditional business continuity and disaster recovery (BC/DR) thinking can make the problem worse when an attack occurs for the first time and data is lost. Many companies still rely on the old “3-2-1” backup approach. This strategy involves having three copies of data: on two different media and one off-premises. However, organizations using this approach may find that data recovery is not as fast as expected or even guaranteed.

Since the 3-2-1 backup rule was introduced in the middle of the last century, the data security landscape has changed dramatically; as the field evolves, old approaches to security are no longer the most effective at mitigating the risks of data loss. Modern data landscapes require modern solutions to most effectively restore companies to their operations after an attack.