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Archive360 2018 Predictions: The Cloud Recognized as Ideal Repository for Data to Meet Business, Legal and Regulatory Requirements; Cloud-Based Machine Learning on the Rise

VMblog Predictions 2018

Industry executives and experts share their predictions for 2018.  Read them in this 10th annual series exclusive.

Contributed by Bill Tolson, Vice President of Marketing, Archive360

The Cloud Recognized as Ideal Repository for Data to Meet Business, Legal and Regulatory Requirements; Cloud-Based Machine Learning on the Rise

1.      Corporate legal and law firms will begin to consolidate their sensitive legal data sets into the cloud for higher security and ease of access.

Legal data, especially eDiscovery data sets, are rarely deleted because of the possibility the same data sets will be needed for appeals, etc. Because of this, corporate legal department and law firms end up holding huge amounts of sensitive data which has become a major target of hackers. Both corporate legal departments and law firms have not had the technology or budget to keep up with the risk to ensure this data is adequately protected. Companies are now recognizing that major cloud platforms, with their state of the art security, and encryption at rest have become much more secure than enterprise storage systems.

2.      The move from on-prem data storage and management to the cloud will continue to accelerate enabling companies to better manage all of their digital information, not just records.

Migrations from on-prem email systems to cloud systems are in full swing with no sign of diminishing. Organizations have recognized the potential cost savings, greater ease of access, higher security, and the prospect of data consolidation of cloud computing and storage solutions. With the addition of new technologies such as machine learning, cloud platforms will drastically reduce the price for companies to utilize these technologies that they wouldn't have. The technical leaps the cloud is constantly making will allow organizations to eventually shut off their on-prem data centers.

3.      Cloud-based machine learning will begin to enable companies to finally capture, categorize, and manage all corporate information - not just regulatory records.

Machine learning enabled cloud platforms will offer true information governance of all unstructured data across the enterprise. As data consolidation occurs in the cloud, vendors will begin to offer machine learning enabled applications to better manage this unstructured data. Predictive governance and predictive categorization will relieve end-users of the onerous and usually ignored task of manually categorizing and filing the avalanche of data they come into contact on a daily basis.


About the Author

Bill Tolson 

Bill Tolson is Vice President of Marketing for Archive360 ( He has more than 25 years of experience with multinational corporations and technology start-ups, including 15-plus years in the archiving, ECM, information governance, regulations compliance and legal eDiscovery markets. Prior to joining Archive360, Bill held leadership positions at Actiance, Recommind, Hewlett Packard, Iron Mountain, Mimosa Systems, and StorageTek.  

Bill is a much sought and frequent speaker at legal, regulatory compliance and information governance industry events and has authored numerous articles and blogs. Bill is the author of two eBooks: "The Know IT All's Guide to eDiscovery" and "The Bartenders Guide to eDiscovery." He is also the author of the book "Cloud Archiving for Dummies" and co-author of the book "Email Archiving for Dummies." Bill holds a Bachelor of Science degree in Business Management from California State University Dominguez Hills.

Published Friday, November 10, 2017 7:38 AM by David Marshall
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