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What You Need to Know

  • Breakouts in the Platform as a Service predictive analytics are Infrastructure as a service, Serverless computing, Cloud Foundry. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are AWS Elastic Beanstalk, Salesforce App Cloud, Cloud Foundry.
  • By far most employment needs are found in the Virtualization, Scalability, NoSQL technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Cloud computing, Virtualization, Scalability.
  • Cloud computing, QlikView, Heroku lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Infrastructure as a service, Cloud computing, Platform as a service.
  • These three technologies have the most active advertisers: IT Service Software, Cloud computing, Online CRM Software.
  • In patents, these three technologies have the most coverage Scalability, Cloud computing, Virtualization.
  • The most publications are available for Apprenda, Cloud computing, SAP SE.
  • Instruction and courseware availability is highest in these technologies: Cloud computing, SAP SE, Virtualization.

The Platform as a Service 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 Platform as a Service’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:

135520 – Infrastructure as a service
002730 – Serverless computing
001547 – Cloud Foundry
000833 – NoSQL
000801 – AWS Elastic Beanstalk
000734 – Rsam
000697 – Apprenda
000623 – OpenShift
000621 – Platform as a service
000568 – Salesforce App Cloud
000472 – Optimizely
000458 – Alteryx
000449 – Cloudera
000325 – Cloudbees
000294 – Acquia
000279 – Network as a service
000278 – Mobile Backend as a service
000278 – Freshservice
000264 – Heroku
000253 – Anaplan
000164 – Software as a service
000138 – QlikView
000119 – Scalability
000117 – Bluemix
000113 – Customer Service Software
000086 – Mendix
000076 – Eclipse (software)
000068 – OutSystems Platform
000055 – Visual Website Optimizer
000055 – Live Chat Software
000054 – Remote Support Software
000052 – Virtualization
000052 – Pivotal Software
000048 – App Engine
000041 – Online CRM Software
000040 – WaveMaker
000035 – Message Queue
000031 – OutSystems
000017 – Engine Yard
000016 – Google App Engine
000012 – Cloud computing
000005 – SAP SE
000004 – e-conomic
000000 – Rollbase
000000 – Ragic
000000 – Jelastic
000000 – IT Service Software
000000 – aKite

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