• Moving large volumes of ageing archive data on legacy tape in physical storage centers – hence inaccessible and decaying in its current form - to the cloud.
• Liberating this vast volume of data to the cloud so that it is accessible for data analytics, artificial intelligence (AI) and machine learning (ML) technologies.
• Transferring data to cloud not only ensures its preservation, but empowers the client to monetize the data –
• Through learnings and discoveries, which lead to new knowledge or increased operational efficiencies.
• Or, turning it into revenue source rather than a cost center.