Cloud Storage PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Cloud Storage predictive analytics are Cloud Foundry, OpenShift, OpenStack. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Zoom Cloud Meetings, Cloud Foundry, Heroku.
  • By far most employment needs are found in the Amazon Web Services, Pinterest, ITAR technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Dropbox, Amazon Web Services, Pinterest.
  • ICloud, Pinterest, Dropbox lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Cloud Foundry, OpenStack, VCloud.
  • These three technologies have the most active advertisers: Cloud storage gateway, HP Cloud, OpenStack.
  • In patents, these three technologies have the most coverage Tencent, CIFS, Dropbox.
  • The most publications are available for Pinterest, Amazon Web Services, Google Drive.
  • Instruction and courseware availability is highest in these technologies: Pinterest, Dropbox, ICloud.

The Cloud Storage report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Cloud Storage’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

001547 – Cloud Foundry
000623 – OpenShift
000433 – OpenStack
000412 – OneDrive
000399 – NCR Silver
000383 – WebSelfStorage
000378 – Microsoft Azure
000376 – ITAR
000353 – AWS S3
000350 – Amazon Web Services
000314 – SoftLayer
000282 – Libvirt
000267 – Google for Work
000264 – Heroku
000255 – Backblaze
000247 – Google Apps for Work
000238 – Apache Cassandra
000215 – Multi-tenancy
000210 – CrashPlan
000199 – CIFS
000194 – Google Drive
000161 – Pinterest
000159 – VCloud
000150 – OVirt
000141 – Apache HBase
000130 – Syncplicity
000128 – Joyent
000117 – Bluemix
000115 – Unitrends
000114 – Egnyte
000104 – ICloud
000097 – Intronis
000089 – Google Storage
000086 – Mendix
000056 – Infrascale
000039 – Apache CloudStack
000031 – OutSystems
000031 – Iland
000029 – OpenNebula
000029 – Cloudinary
000027 – Druva Insync
000023 – HP Cloud
000018 – Smugmug
000006 – Dropbox
000005 – Tencent
000000 – Zoom Cloud Meetings
000000 – Zadara Storage
000000 – Yandex Disk
000000 – Tresorit
000000 – retailcloud
000000 – OwnDrive
000000 – Jumpshare
000000 – Jelastic
000000 – Iperius Backup
000000 – CloudSigma
000000 – Cloud storage gateway
000000 – ASUS WebStorage


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