could computing

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Published By: Amazon Web Services APAC     Published Date: Sep 19, 2019
In January 2016, the Federal Risk and Authorization Management Program released a draft of its high-impact baseline for moving federal data to the cloud. Not long after, Amazon Web Services (AWS) accepted an offer to pilot the new security threshold. AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around. Over 2,300 government agencies worldwide have already migrated to the AWS Cloud. And in the U.S., this will only increase with the release of FedRAMP’s high baseline standards. Previously, CSPs could only become certified at a low or moderate baseline under FedRAMP, meaning agencies had no security baseline from which to spring their sensitive data into the cloud. These new standards effectively represent the fall of the final formal barrier to federal cloud computing. Terabytes o
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Amazon Web Services APAC
Published By: Dell     Published Date: Jun 13, 2018
We expend so much energy trying to make each minute count in many areas of our life – why wouldn’t we take the same approach to our computing experience? Time stuck waiting on a system could be better spent solving problems, working, or even playing. Download this research study to learn more about how you could be saving time that is lost on slow end user computing systems. Find out how Intel® Optane™ memory with Dell OptiPlex 7050 Micro provides a simple way to improve system responsiveness in several key areas to give users a way to reclaim precious time and become more efficient.
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Dell
Published By: Cisco Umbrella EMEA     Published Date: Oct 12, 2018
Not long ago, even the most astute executives couldn’t fully anticipate how quickly emerging technologies would transform their business operations — and even their business models. Laptops, smartphones, and other mobile devices; high-bandwidth wireless networks; and cloud-based computing services have proven to be among the most impactful of these advances, collectively untethering workers from office environments and fundamentally altering work behaviors. employees today work anytime, anywhere while accessing applications and data that reside on company servers and in the cloud. Cisco Umbrella can help your business overcome these problems, download this whitepaper today to find out more.
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Cisco Umbrella EMEA
Published By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around
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Amazon Web Services EMEA
Published By: New Relic     Published Date: Mar 17, 2015
The biggest change your technology management team must handle in executing a successful cloud strategy is prioritizing delivery against business priorities, not its own. The business wants faster time-to-market, greater agility, and more flexibility from the cloud strategy. This means setting priorities and creating metrics for previously unmeasured items.
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technology management, could computing, cloud strategy, autonomy, cloud success, best practices, business analytics, business management
    
New Relic
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: SAS     Published Date: Oct 18, 2017
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning – as well as deep learning, natural language processing and cognitive computing – are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car. This e-book provides a primer on these innovative techniques as well as 10 best practices and a checklist for machine learning readiness.
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SAS
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
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