Autotask Week in IT: Disaster recovery, big data and machine learning

October 13, 2017  
Here’s a look at what’s happening this week in the world of ITSPs, MSPs and Enterprise IT departments.

Forbes: How The Cloud Might Actually Shrink Your Exposure To Cyber Risk?
By Don Elledge
Before we look at how the cloud might do this, it’s helpful to understand how the enterprise got to this point. The reality is that the private network was not designed to operate in the age of digital. The importance of digital interactions outside our traditional corporate boundaries has forced our network perimeter to become highly extended and perforated, while the overall surface area we are protecting has increasingly spilled over this traditional boundary as organizations try to manipulate the private network into supporting the digital enterprise.

CloudTech: Beyond disasters: It’s time to do more with DR
By Jason Clark
Disaster recovery plans exist to ensure business continuity when the worst happens. They allow organizations and individuals caught up in life changing events such as natural disasters to focus 100% on protecting people from harm, without the distraction of worrying about data and IT systems. Recent events – both climate related such as the hurricanes in the US as well as manmade events such as ransomware attacks - have brought disaster recovery to the top of mind, and organizations are looking to boost their preparedness. 

CIO: Getting big data right
By Charles Araujo
There is increasing recognition that post-transaction analytics is not the only big data use case — and in fact, may not even the best one. Many organizations now realize that they can harness the greatest value from their big data initiatives by applying the resulting analytics and insights at the point of the transaction.

Networking World: 3 ways machine learning is revolutionizing IoT
By Majid Ahmed
Whether it’s inspiring human creativity, surpassing human efficiency or paving the way for even newer technologies to break through and reshape the IoT, machine learning is the fuel that’s driving the IoT forward into the 21st century. 

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