About

Cyber resilience in data storage refers to the ability to protect, maintain, and recover data despite cyberattacks, natural disasters, or other disruptions. It’s about ensuring data availability, integrity, and confidentiality even when faced with threats. This involves not just preventing attacks, but also having robust backup and recovery systems to minimize downtime.

Object storage is an architecture uniquely suited to handle the scale, variety, and velocity of data required for modern AI workloads. During the session we’ll briefly touch on how data accessibility, scalability, metadata management, and integration with AI pipelines directly impact the performance and efficiency of enterprise AI initiatives. By aligning storage capabilities with AI requirements, organisations can significantly reduce training times, streamline data preparation, and enable more agile model development.

Takeaways