We can infer the machine learning model behind the software was trained on numerous incidents of backup and recovery data from previous ransomware attacks. Unitrends claims security and IT administrators can integrate the software as a virtual appliance that can fit into any networking environment and platform, including physical and virtual drives, the cloud, Windows, and Linux, and run it from one user interface. Unitrends offers software called Backup Software, which it claims can help managed service providers and IT companies optimize data backup and recovery, and protect them from ransomware using machine learning technology, including predictive analytics. Previously, Bedadala served as Associate Engineer at Symantec. He holds Master’s Degree in Data Science, Finance, Strategy from New York University – Leonard N. Pavan Bedadala is Engineering Leader and Coder working on Search/Analytics and Machine Learning/Data Science at CommVault. According to the case study, UST Global was able to restore data more quickly and reduce data loss by as much as 50 terabytes, helping them save on costs and mature its data management capabilities for a competitive edge.ĬommVault also lists Dow Jones, Expert SE, and ACENS as some of their past clients. UST Global integrated the CommVault’s software into its primary tape-based disaster recovery location. UST Global needed to duplicate and consolidate data from multiple off-site virtual machines under one central control and interface. The user could then use the software to analyze and optimize the stored data according to the user preference based on data gathered from previous actions, backups, and restores to provide the desired outcome.īelow is a short 4:00-minute video demonstrating how to create a Microsoft Azure Hot storage account before adding it as a cloud target in Commvault:ĬommVault claims to have helped digital tech service company UST Global optimize backup and recovery operations across operations in 25 countries. This would have trained the algorithm to discern the sequences and patterns of 1’s and 0’s that, to the human eye, form the data patterns and characteristics that relate to properly stored data. Once the data is labeled to reflect this, the labeled data would then be run through the software’s machine learning algorithm. This data would then provide the baseline for properly stored and recovered data, for example. We’ll start our analysis with a data backup and recovery solution from CommVaul: Data Backup and Recovery CommVaultĬommVault offers a software suite called Complete Backup & Recovery, which it claims can help IT services firms and large enterprises protect, backup, and recover data in the cloud and user data repositories in an optimized way using machine learning technology.ĬommVault claims the machine learning model behind the software was trained on millions of data points, such as performance statistics, change rates, access speed, and performance insights every time data is backed up and restored. In this article, we’ll be exploring the solutions that these companies offer to provide business leaders at IT firms with an idea of what’s currently possible for them when it comes to AI. There are several AI vendors offering solutions to IT services firms, particularly for the following use cases: In reality, many of the older IT services companies are struggling to hire PhD graduates in machine learning who would rather use their skillset at global AI firms like Google and Amazon.Īlthough IT firms might find it difficult to procure and retain AI talent for themselves, they can certainly benefit from AI capabilities. Many IT services firms have recently started branding themselves as AI companies without having the requisite talent to back up their claims. IT services firms are doing their best to keep up with the changing landscape as AI begins to dominate the tech conversation.
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