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Here’s a look at what’s happening this week in the world of ITSPs, MSPs and Enterprise IT departments.
ComputerWeekly: Hybrid Cloud Mainstream, but Seamless Operations Hard to Achieve
By Antony Adshead
Hybrid cloud is mainstream. Most organizations operate across public, private and hybrid locations, but with varying degrees of interoperability. Meanwhile, most have a strategy for, or plan to deliver, seamless operations across hybrid cloud environments.
DARKReading: 20 Ways to Increase the Efficiency of the Incident Response Workflow
By Joshua Goldfarb
Despite all the good intentions of some great security teams, we are still living in a "cut-and-paste" incident management world.
InformationWeek: The State of the Cloud 2018
By Joe Masters Emison
It's time to stop with the excuses and recognize why an organization needs to move to the cloud. It’s 2018 — why do you still have servers in a data center? Why aren’t you using the cloud for everything? Software-as-a-Service (SaaS) for services your back office needs to use, and Infrastructure-as-a-Service (IaaS) for all the servers and services that you need to run yourself?
Datamation: IaaS vs PaaS vs SaaS: Which Should You Choose?
By Cynthia Harvey
These days, nearly all organizations use at least some public cloud services. The more important question is which type of cloud services companies should use: infrastructure as a service (IaaS), platform as a service (PaaS) or software as a service(SaaS).
RCRWirelessNews: How to Improve Cybersecurity with Machine Learning
By Nathan Cranford
Before exploring the ways machine learning can improve cybersecurity, it is important to first understand what machine learning actually is. To begin with, machine learning is not one in the same with artificial intelligence (A.I.), which is part of a broader initiative to enable computers to reason, solve problems, perceive and understand language. Rather, machine learning is a branch of A.I., and involves training an algorithm to learn and make predictions based upon data input.
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