Showing posts from December 30, 2016

The commercial sector Vs the defense market in the small unmanned aerial systems (sUAS) Drone market

As an emerging technology, the small unmanned aerial systems (sUAS) Drone is an exciting curve in terms excitements, adoption, applications and more within many industries.

ABI Research forecasts the small unmanned aerial systems (sUAS) market will surpass $30 billion by 2025, producing a 32% CAGR.

The firm indicates that, the commercial sector will surpass the defense market in 2017, and by 2025, it will account for more than 70% of all sUAS ecosystem revenues. This includes agriculture, industrial inspection, and professional videography applications.

Network Function Virtualization (NFV) spending for the virtual mobile packet core

Steadily, one can observe that, Virtual Mobile Packet Core spending surges as operators migrate to virtualized networks.
With this dynamic, ABI Research Forecasts NFV Spending for the Mobile Packet Core will top $8 Billion by 2021.
In effect, for the stakes related to flexibility, productivity, agility, performance and enhanced security, and that, mobile data traffic escalates, the continuous development of network function virtualization (NFV) technologies comes as a relief to many operators looking for economical and flexible network expanding approaches while they plan for next-generation network applications and deployments. 
ABI Research forecasts that NFV spending for the virtual mobile packet core, which includes the Virtual Evolved Packet Core (vEPC) and virtual IP Multimedia Subsystem (vIMS), will exceed that of physical network functions by 2019, topping $8 billion by 2021.

The road for widespread adoption of machine learning

I have a pleasure to recall that, Solutions built on machine learning automate the IoT data modeling process, removing the labor-intensive and indirect activities of model selection, coding, and validation.

In effect, this ‘write once, run anywhere’ mentality has already seen big buy-in from companies like Amazon, Google, IBM, and Microsoft to make advanced analytics more accessible to a broader and more evenly-distributed workforce.