The French startup, which has developed wireless technology to let everyday objects send out tiny chunks of data at low power and low cost, wants to build on existing network rollouts in France, Spain, the Netherlands and Russia.
IBM and AT&T are teaming up to share and analyze smart city and utility data so municipalities can react to traffic incidences, energy demand and other potential problems in real time. Through the partnership AT&T will handle the sensor communications and tracking happening over the cellular network and IBM will bring its analytics platforms into play. The two companies are going to build out apps for cities, so right now there’s not a lot to see here except for the possibilities.
T-Mobile’s big growth third quarter was driven in part by 344,000 new MVNO connections. Those virtual subscribers are becoming and increasing chunk of T-Mobile’s business as it begins welcome more virtual operators to its network.
Neul will ship its first white space radio modules for $12 a pop to sensor and device makers in the first quarter and launch its first networks in the U.S. and U.K. in the second.
Ahead of our Mobilize event Oct. 16 and 17, we asked experts how 50 billion connected devices and 6 billion people change their industries. In this essay, Ericsson’s Vish Nandlall describes the transformation of the mobile network.
Soon we’ll be able to connect our cars directly to the mobile internet just like our smartphones, but unlike your smartphone your new car is going to be linked to a specific carrier.
Virtual operators have driven a good chunk of the growth in the U.S. mobile market in the last two years, according to GSMA Intelligence. AT&T, Sprint and T-Mobile host 23 million MVNO connections alone.
AT&T has landed yet another automaker on its growing roster of connected car clients. Nissan, with the help of telematics provider SiriusXM, will embed AT&T connectivity into unspecified future cars.
Sprint and IBM are betting that the cloud will be the key component of the connected car of the future. It’s not just about connecting your car to the internet. It’s about who’s in the driver’s seat.
Currently much of the big data being churned out is merely exhaust. But imagine the possibilities once we figure out how to produce and process better data on the fly on a global scale. Call it Big Inference.