Connected Devices that make up the Internet of Things are expanding to the billions opening up new use cases across industries.
We have become more connected than ever before through the development of connected devices, or the Internet of Things (IoT). Kevin Ashton, cofounder and executive director of the Auto-ID Center at the Massachusetts Institute of Technology (MIT), first mentioned the term Internet of Things in 1999, but the first device to be connected to the Internet was actually a Coke machine at Carnegie Mellon University in the early 1980s. A little over ten years ago, we were able to access the Internet through a laptop or a desktop computer. Today, IoT consists of everyday devices that are connected to the Internet, such as fitness trackers, vehicles, smart televisions, doorbells, light bulbs, home security systems, thermostats, and refrigerators.
Aricent finds ways to extend the life of your 4G investments through integration with cloud technology.
In 2014, for the first time, the number of mobile gadgets on the planet surpassed the number of people. Today, there are 8.5 billion mobile connections and 7.6 billion people. The number of gadgets is multiplying five times faster than the world’s population, producing mind-boggling amounts of data. Soon, the current infrastructure provisioning could burst at the seams as the overall data capacity cannot keep up with the amount of data volume created. It is imperative to start planning and implementing a new paradigm for connecting all these devices and managing the data they produce.
Aricent helps companies get the most out of an industrial-scale automation by leveraging AI and machine learning
The word automation was first coined in 1946 by an engineering manager at Ford Motor Company to describe automatic devices and controls in mechanized production lines. Seventy-two years later the definition now includes computers and robots that leverage artificial intelligence (AI) to engage in making highly complex decisions independent of humans. AI includes a number of subcategories, including deep learning, machine learning (ML), natural language processing (NLP) and robotic process automation (RPA).
RPA uses AI and machine learning to super-charge industrial-scale digital transformations
The term digital transformation-defined as technology that fundamentally changes how companies deliver value to customers-has become a household term recently and for a good reason. A wave of new technologies and services such as artificial intelligence, machine learning, augmented and virtual reality, blockchain, cloud, software-as-a-service, edge computing, Internet of Things, among others, are upending business processes and customer relations. And the fifth generation of mobile communications, or 5G, is just around the corner, which is expected to supercharge them all.
Aricent joins global technology leaders at Mobile World Congress Americas 2018 to discuss what’s next in 5G, Edge Computing, Artificial Intelligence and security.
I am happy to share that Aricent has joined global leaders in telecom and technology for our third Mobile World Congress event in 2018. MWC Americas takes place from 12 – 14 September at the Los Angeles Convention Center. Earlier this year, Aricent also attended #MWC18 in Barcelona, and at #MWCS18 in Shanghai.