Municipalities are turning to automated processes to lower costs and improve service delivery, and this will impact our quality of life in some surprising ways.
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Automation in the Public Sector
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Monthly Archives: November 2016
IT’s Role in Industry 4.0
Automation will have just as big an impact on the production line as in the enterprise. How can organizations make the most of this technology across its entire process portfolio?
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What to Do About Dark Data
Dark data (data that is no longer used), and its cohort gray data (metadata generated by processes) might not be as valuable as current application data, but it is still yours — which means it must be contained and protected.
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The Challenges of Container Monitoring
How should the enterprise gauge its container performance? And what metrics should it use?
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Multi-Tenant? Multi-Instance? Or Both?
Multi-instance architectures are typically viewed as the advanced version of multi-tenancy. In a way it is, but that doesn’t mean they can’t work together.
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Maintaining Container Compatibility
Lots of containers supporting lots of microservices that must be mixed and matched to perform various functions, but sometimes even Docker has trouble communicating with itself. Is there a way to foster broad compatibility across a distributed container environment?
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AI and the Enterprise Productivity Stack
It should be clear by now that automation and artificial intelligence are about to hit the enterprise in a big way. But while this transformation will be rapid, it will not happen across the entire IT stack all at once.
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The Data Center in the IoT Era
The Internet of Things is poised to make major changes to enterprise infrastructure, not only to deal with staggering volumes of information but to foster the dynamic connectivity to, from and between legions of digital devices.
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Digital Transformation Starts with Infrastructure
Business models around the world are rapidly shifting from selling products to monetizing services. It doesn’t matter what industry you are in, if you are not generating revenue by digitally connecting to consumers, the future of your enterprise is in doubt.
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The Next Challenge for Big Data: Geo-Distributed Architectures
Few enterprises have the means to build their own scale-out infrastructure for Big Data collection and analytics. That means much of the workload will be ported to the cloud.
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Enterprise Illumination 