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Posted by I-ON Communications on January 14, 2018

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LPWA (Low Power Wide Area), the core of IoT

AI / Big Data / IoT Information Technology continues its run as the fastest evolving industry in 2016. AI (Artificial Intelligence), Big Data and IoT (Internet of Things) are the hottest keywords in this industry. In essence, those three technologies are totally different from each other in terms of fundamental technology but become very disruptive when they are harmonized (hereinafter referred to as “a mixture”). So from this point of view AI, Big Data and IoT are in complementary relation. [IoT, Big Data and AI] Relations of the mixture As described above, the largest feeder of Big Data is IoT and AI is where the Big Data is utilized the most. The output of AI is fed back to our practical life and IoT is used to trace the result of it. Virtuous circle of a mixture [Virtuos circle of AI, Big Data and IoT] IoT works based on the following three parts. ● Sensor part ● Communication part ● Control part (optional)

Sports and the Fourth Industrial Revolution

Have you ever imagined what it would be like to turn the corner at full speed in F1 as Michael Schumacher does and to fly in the air and slam-dunk like Michael Jordan? There might not yet be many people who experienced the above in their real life so far. However, things have changed. The new era where people are able to experience those things themselves is here to stay – the Fourth Industrial Revolution. The Fourth Industrial Revolution is defined by WEF (World Economic Forum) as “the digital revolution that has been occurring since the end of the last revolution. It is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres.” The Fourth Industrial Revolution encompasses more integrated and comprehensive technologies such as IoT (Internet of Things), Cloud, Big Data, AI (Artificial Intelligence), Robotics, VR (Virtual Reality), AR (Augmented Reality) and MR (Mixed Reality) while the First Industrial Revo

The Difference Between Big Data and Small Data

There is still a lot of hype around big data, however small data is increasingly gaining its popularity over the years and becoming one of the trustworthy data sources in the IT markets. To know the reason for this preference change, we first need to understand the concept of both data and the key differences between these two data. Starting with the basic concept of big data, it is the data which contains greater ‘Variety’, arriving in increasing ‘Volumes’ and with more ‘Velocity’. These Three V is the essential part of defining the type of data by many expertises. First, data volume is the amount of data available for processing. Since the amount of data differs in small data and big data, big data requires a large volume of information. Second, data variety which is the number of data types. In the past, the data used to be collected in one format and also delivered in the same format. However nowadays, a non- traditional data variety has come out like video, text and more and th

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