Up until now, the Internet has been used primarily as a medium for the transfer and exchange of data and information and has been optimized for access and speed. Experts now agree that the next phase of the “Internet for the People” brought by the rise of the Internet of Things (IoT).
IoT leads a sweeping cultural change as a huge number of machines, devices, sensors, actuators, and other objects become interconnected to each other and to higher-level systems. Due to the enormous amount of variety of connectable devices and automatically collected data entirely new services and features may arise, which are to form the basis of, among others concepts, “Smart Cities”.
IoT and big data are both technology-driven developments. The IoT and Smart City scenario will bring enormous market opportunities as well as make citizen lives smarter. The products around us are becoming more intelligent. Furthermore, these developments change our behavior!
We are in the midst of an era where we are discovering new opportunities brought to life by new hardware and software designed to take advantage of the flow of new personal and global data.
The Internet of Things (IOT) will soon produce a massive volume and variety of data at unprecedented velocity. If "Big Data" is the product of the IOT, "Data Science" is it's soul. . Let's define our terms: . Internet of Things (IOT): equipping all physical and organic things in the world with identifying intelligent devices allowing the near real-time collecting and sharing of data between machines and humans. The IOT era has already begun, albeit in it's fi
In an Inside Analysis interview with Eric Kavanagh, Mike Hummel, CTO of ParStream, talked about “the Internet of Things (IoT) as the maturation of machine-to-machine communication” and the next step in the evolution of information sharing. At this time, the most prominent form of machine learning is found in the manufacturing world where machines can send large amounts of data to optimize production. This has been problematic in the past as the amount of data that is sent has typically been too large to interpret and properly react to. New technology has created analytical platforms that will analyze data that previously was too large in size.
This blog is by Kimmo Hatonen at Nokia Networks. Twitter: @nokianetworks In his recent blog “When big data rubber meets the telecom road”, Claudio Frascoli discussed the hurdles that operators face today when they want to make use of big data. Barriers that... #cspcx #mbbfuture #mobilebroadband
Big Data, Cloud & Indian Telecom Industry by Debasis Chatterji, CEO, Netxcell Limited - Founded in 2000, Netxcell Limited is an ISO 9001:2008 certified application services provider company catering to...
NTT, PFN to develop Big Data technologies for IoT Telecompaper (subscription) The deal blends NTT's distributed processing and machine learning technologies and know-how on network security with PFN's machine learning technologies and know-how on...
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