Innovative PrEstoCloud solutions for real-life challenges

While being a cutting-edge research project, dealing with difficult and fundamental computer science problems, the PrEstoCloud project aims to provide effective solutions for real-life challenges. Resolving these challenges will provide better security through video surveillance with our ADITESS partner, more efficient and secure good delivery through logistic with our CVS partner and citizen participation to medias with our LIV partner.
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Situation Detection for Mixed Cloud-Edge (Fog) Computing Infrastructures

Fog computing infrastructures are highly dynamic and constant to continuous changes. For example, they may add or retract dynamically new computing nodes including devices at the extreme edge of the network, depending on the computing requirements of the application or services that are deployed on them. Hence, there is a need for facilitating situation awareness, i.e. capability to detect situations requiring attention.
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Where It Comes Down to Hundredths of a Second in Extreme Cases

What will mobility look like in the future? Will we still need drivers? Or will our vehicles drive themselves entirely, with the driver only providing the destination?
While manufacturers are developing technologies at top speed for networked automated driving and are already testing initial prototypes, the development framework and conditions are still lagging behind somewhat. Autonomous mobility can only be realized with an intelligent infrastructure that reliably provides its service while remaining unobtrusive in the background. And Edge Computing will play an essential role in the Digital Mobility.
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AI, VR, Big Data and Its Impact on Digital Marketing

The speed at which technological change are taking place is really frightening and is becoming dynamic. Digital Transformation is a buzz across organizations and everyone is talking about it and wants to ride this wave and be ready. AI, VR, AR, IOT all are leading to a change in the way data is being appreciated and hence has its impact on the marketing industry.
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What You Need To Know About Cybersecurity And The Internet Of Things

The Internet of Things (IoT) has moved from a marketing buzzword to a household term. And while IoT generates more headlines as a consumer issue, it’s a topic that businesses need to pay attention to as well. According to a 2016 study released by Gartner, more than half of major new business processes and systems will include an IoT component by 2020.
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Better Security Techniques Leave Passwords In The Dust

Passwords may have protected personal computers since the early days of PCs, but their time may finally be ending. From hardware tokens to facial recognition, endpoint protection is evolving rapidly.
Security-conscious organizations are complementing passwords with an extra layer of technology by combining something you know (your password) with something you have.
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How Big Data and the Internet of Things Create Smart Cities

The Internet of Things may be giving over to the Internet of Everything as more and more uses are dreamed up for the new wave of Smart Cities.
In the Internet of Things, objects have their own IP address, meaning that sensors connected to the web can send data to the cloud on just about anything: how much traffic is rolling through a stoplight, how much water you’re using, or how full a trash dumpster is.
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The Internet of Things (IoT) and Analytics at The Edge

The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: to help these environments and products to self-monitor, self-diagnose and eventually, self-direct.
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Big Data: What it is and how your business stands to benefit

Chances are your company is swimming in data. From handwritten notes to computer-generated information, you have a ton of data that can be used to gain new insights, make important businesses decisions and sometimes even predict the future.
On the surface, this large amount of data is simply a benefit, but it comes with one major caveat: with so much information, it’s often challenging to find a pragmatic way to leverage data for business optimization.
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Quantum Computing and Deep Learning. How Soon? How Fast?

Quantum computing is now a commercial reality. Here’s the story of the companies that are currently using it in operations and how this will soon disrupt artificial intelligence and deep learning.
Like a magician distracting us with one hand while pulling a fast one with the other Quantum computing has crossed over from research to commercialization almost without us noticing.
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