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Cloud, Machine Learning & Mobile are the major trends in HR

#artificialintelligence

Adam Miller, Founder and CEO, Cornerstone OnDemand, talks about how HR has been using technology and how it has been evolving over the years. He discusses the trend of shifting to'on-premise computing to'Cloud computing' and the changes that take place in the whole environment. New technology has lead to the adoption of new things and that has lead to a change where people get used to new and beautiful software. There has been a major transformation in enterprise software and with new technology and data we have the ability to get insights from the data. Big Data is the next big wave in learning and it is the ability to predict the future.


Platys: From Position to Place-Oriented Mobile Computing

AI Magazine

We consider elements of context that are particularly related to mobile computing. The main problems we have addressed to realize our place-oriented mobile computing vision, are representing places, recognizing places, engineering place-aware applications. We describe the approaches we have developed for addressing these problems and related subproblems. A key element of our work is the use of collaborative information sharing where users' devices share and integrate knowledge about places.


Safe and secure G Cloud Mobile Backup is available now at nearly 75% off

ZDNet

Free and cheap personal and small business cloud storage services are everywhere. But, which one is best for you? Let's look at the top cloud storage options. There will be over 100 zettabytes of information stored in the cloud in just a couple of short years by 2025. In case that number is too big to wrap your head around, that's 1 billion terabytes… or a trillion gigabytes.


Research: What 5G means for edge computing

ZDNet

The technology will also play a crucial role in connecting edge devices to the cloud. Ultimately, the combination of 5G and edge computing is poised to benefit the enterprise. This ebook, based on the latest ZDNet / TechRepublic special feature, helps business leaders understand how cloud providers, telecoms, and carriers will make 5G part of their edge-computing plans. How committed -- or prepared -- is the enterprise to marry these two technologies? That's what ZDNet's sister site, TechRepublic Premium, wanted to discover.


Telecom edge vs. enterprise edge: With MEC, who should control what?

#artificialintelligence

Under the shingle of mobile edge computing (MEC), there are a lot of edges and a lot of ways to describe them. Here we'll focus on the distinction between the telecom edge operators use to deliver a variety of consumer and enterprise services as compared to an enterprise-owned edge infrastructure that's connected to a network. According to Dell Technologies' Douglas Lieberman, senior director, Global Solutions Co-creation Services, "The interesting part is who is controlling the management, orchestration of the edge--is that a telco or an enterprise? With 5G being the enterprise G, the standards and the way it's being implemented is enabling a much tighter integration between what an enterprise needs and what the telco is delivering…The enterprise has the ability to integrate with the telco backend and provide services in a new way they haven't thought of before." For operators, the opportunity is to deploy MEC in a way that simultaneously makes the network more efficient by distributing a management and orchestration layer while also supporting enterprise workloads.