Iron Mountain, Google Partner On New Data Analytics Cloud Services

eWeek | July 25, 2018

Iron Mountain, Google Partner On New Data Analytics Cloud Services
Partnership focused on delivering new content analytics, information management and cloud-based machine-learning capabilities for organizations that want to do more with their data. Google and information storage giant Iron Mountain, which made its reputation maintaining underground storage facilities housing documents, film, artwork and lots of other valuables, revealed this week at Google Next ’18 that they will jointly develop new analytics offerings designed to help enterprises derive more business value from their data. Iron Mountain will deliver the offerings as subscription-based services on Google's Cloud Platform starting in September. Iron Mountain described the partnership as focused on delivering new content analytics, information management and cloud-based machine-learning capabilities for organizations that want to do more with their data. Many organizations are struggling to classify, access and evaluate the full value of their data, because of the massive growth in data volumes across industries in recent years. Businesses often do not know exactly what data they have and are therefore missing the opportunity to explore it further. The services that Iron Mountain and Google are jointly developing will enable organizations to more quickly know what data they have and to explore it for potential revenue creation, cost reduction and risk avoidance opportunities. The services will take advantage of Google Cloud Platform's machine learning and artificial intelligence capabilities and Iron's Mountain's content analytics, metadata classification, and its Iron Cloud secure data storage service capabilities. Tariq Shaukat, Google Cloud's president of partner and industry platforms, said organizations in data-intensive industries in particular would benefit from the partnership. Organizations in the energy, financial services and health-care sectors can create significant business value by applying machine learning and content analytics to their data, he said.

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